Evaluating Financial Performance of Commercial Banks Applying CAMEL Model: Evidence From Private Commercial Banks of Ethiopia

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Secondary data had been sourced from annual reports of these considered private banks. finding of the study reveal that, leverage ratio correlated significantly & negatively with capital to assets ratio (financial performance). In this regard, private commercial banks of Ethiopia found as highly leveraged but sound liquidity position. What is more, the study showed that, capital adequacy, asset quality, earning ability and managerial efficiency had no impact on private commercial banks’ financial performance. On the other hand, the liquidity position of these banks were found to be significant variable. More over, this study indicated that, selected banks financial performance found as healthy for the period a study considered. Finally, a researcher suggest, the findings of this study shall be helpful to the management of selected banks in making appropriate managerial decisions. Finance Evaluating Private Commercial banks Financial Performance Camel Model Figures Figure 1 Figure 2 1. Introduction Now a day, commercial bank is working on financial inclusion wit the support of current technology advancement to provide more financial services and banking products. With this regard, Bank is reaching out its customer as well as general public with Mobil banking, internet banking or other otherwise to channeling the the flow of fund among those who do have surplus and those of shorts. As such, it take part on country economy growth. banking sector is a major constituent that enables effective and appropriate utilization of financial resources of the country (babar and zeb, 2011). the private banks were in a better position than the public banks in terms of asset quality, management quality, and earning ability, while public banks were better in capital adequacy. however, liquidity position was high for both private and public commercial banks (Anteneh, A. and yonas, 2011). Buna international bank ranked first by capital adequacy, asset quality and liquidity ratio while commercial bank of Ethiopia ranked first by management efficiency and earning ratios respectively while, Wegagen bank was the first by the composite rate (Mulualem, 2015). Nib’s overall performance was good, (Dakito,2015). Although various studies were conducted to determine bank performance applying camel Model parameters, only a few studies were done in private commercial banks of Ethiopia. however, there is no research was conducted on the detail of management efficiency ratios like diversification ratio, profit per employee ratio and business per employee ratios to evaluate performance of private commercial bank of Ethiopia. Thus, ratios component of the camel rating system mainly focuses on the management efficiency which is a signal for the ability of the board of directors and senior managers to identify, measure, monitor and control risks associates with the banks and to reduces maturity mismatches between management efficiency to optimize returns. The novel feature of this study were to examine the performance and financial soundness of private commercial banks of Ethiopia for the years 2014-2018 (5 years) using camel rating model... 2. literature review and Statement of Hypothesis construction Here, in this section related literature had been presented followed by development of hypothesis. public sector banks were significantly less efficient, while domestic private banks matched well in efficiency with foreign owned joint venture banks (jha and hui,2012). Again, voon (2013) researched on the financial performance of seven local banks and three foreign banks in malaysia for the years 2007-2011 adopting camel approach and determine that, foreign banks performed better than local banks. srinivas, saroj (2013) concluded that the icici banks performance is slightly less compared with hdfc. lakhtaria (2013), compared the performance of baks and indicated that bank of baroda topped among all the three selected banks. Mohiuddin (2014) looked at the financial performance of two major banks in bangladesh using camel parameters, he concluded that, the capital adequacy, asset quality, management capability and liquidity were found satisfactory. And alSo Golam Mohiuddin (2014), had considered two major banks of bangladesh for his studies with 5 years data for the studies and revealed that, the performance of both the banks was quite satisfactory as per the acronym of camel model. Amit, and lakhvendra, (2015) attempted to rank 42 Indian commercial banks based on their overall performance over a period of five years (2010 to 2014). they found that, on average yes bank was at the top position followed by hdfc bank and Indian bank. harsh vineet (2016) among the public sector banks, the best bank ranking has been shared by Andhra bank and state bank of patiala. Among the private sector banks, Jammu and kashmir bank has bagged the first rank followed by hdfc bank. in the category of foreign sector banks, Antwerp bank has been ranked the best followed by jp morgan chase bank. Mousa (2016) evaluated the performance of three selected Islamic banks in Jordan for the period 2010-15 applying camel model and noted that all the selected banks had adequate capital: their assets and earning capacity were growing despite the slowdown of the economy and regional instability. Masood, ghauri and aktan (2016) noted that, two of the islamic banks were showing satisfactory results, while others were on fair position. they also highlighted that there was need to develop financial markets for treasury operations for these banks. Nancy bawa (2017) compared performance analysis of nationalized banks using camel model covering 19 nationalized banks for a period of 2006-16. he reveals from his study that indian bank is at a top in terms of capital adequacy, bharatiya mahila bank in terms of asset quality, idbi in terms of management efficiency & earnings quality and andhra bank is in overall performance. More over, iheanyi and sotonye (2017) findings Indicate that, management efficiency, earnings and liquidity have no significant impact on the profitability of banks. they researchers also found that asset quality has a negative impact on the profit of the banks. Capital adequacy, asset quality and management efficiency had negative relationship, whereas earnings and liquidity showed positive relationship with both profitability measures with strong statistically significance except for capital adequacy which was significant for return on assets and for return on equity (Mulualem, 2015). Ermias (2016) found out, unb, nib, and boa have held from 1st to 3rd rank. As such bank specific factors incorporated in the camel model explain 67.5% of the changes in profitability of the private commercial banks in Ethiopia. 2.1 CAMEL Model On November 13, 1979, the federal financial institution council adopted the uniform financial institution rating system, referred to camel rating. later in October 1987, the national credit union administration adopted the camel rating. reliability, profitability and liquidity is critical in the assessment of performance of an organization and in that context, camel model which underscores capital adequacy, asset quality, management quality, earning ability and liquidity as criteria for assessment can be taken as a reliable tool to evaluate the soundness of financial firms (Ghasempour & salami, 2016; Aspal and Dhawan, 2016). Following, the development of various data analytical tools, evaluation of banks profitability and financial soundness have grown in more advanced analytical models (Roman and sargu, 2013). in recent years, the most used approach to assess the financial soundness of financial institutions is the camels framework (Baral, 2005). As Rostami (2015) indicated, camel model is a tool that is very effective, efficient and accurate and can be used as a performance evaluate in banking industries and to anticipate the future and relative risk. For the purpose of this study, camel model for data analysis, which has 5 performance parameters; capital adequacy, asset quality, management quality, earnings and liquidity. Thus, excluding only the sensitivity element. it is believed that the evaluation of the financial performance of banks should consider the adequacy of capital, bank management, the earnings, and their liquidity (Merchant, 2012). 2.2 Capital adequacy: The financial soundness of banks is well reflected by their capital adequacy, which represents the level of capital that banks need to withstand risks such as credit, market, and operational risks. Capital adequacy consist of components such as capital adequacy ratio, debt equity ratio, total advances to total assets ratio (Muralidhara and lingam, 2017). According to Mulualem (2015) finding, capital adequacy ratio is positively correlated with return on asset and return on equity and statistically significant. On the other hand, Dawit (2016) determine a negative relationship with return on equity of sampled Ethiopian commercial banks. H1: Capital adequacy has no significant impact on selected banks’ financial performance. 2.3 Asset quality: banks try their level best to keep non-performing loans to a small percentage as the existence of large non-performing loans will detrimentally affect their profitability. Aspal and dhawan, (2016) Measuring the composition of non-performing assets as a percentage of the total assets show that, the lower the ratio the better the bank performing. again, Mulualem (2015) asset quality has positive correlation with return on equity and return on asset. H2: Asset quality has no significant impact on selected banks’ financial performance 2.5.3 management Efficiency It is obvious that, capability of the management to use its resources efficiently, income intensification, decreasing operating costs that can be also used to find out whether a bank is relatively over or understaffed. As depicted by Mulualem (2015), the management efficiency ratio is negatively correlated with return on asset and returns on equity. H3: Management efficiency has no significant impact on selected banks’ financial performance 2.3 Earnings ability: According to Ahmad (2011) there is a strong negative relationship between return on Asset and banks asset management ratio. khizer et.al. (2011), in his study about profitability indicators of banks in pakistan for the period of 2006-2009 find that, profitability is directly and positively affected by operating efficiency, assets management ratios, and size. More over, Return on Asset is positively related with assets management and negative association was found with size and operating efficiency (Anteneh,2018) H4 : Earning ability has no significant impact on selected banks’ financial performance 2.4 liquidity: liquidity ratio measures the ability of the bank to meet its immediate obligations. According to, Muralidhara and lingam (2017) the liquidity of banks measure through current ratio/ quick ratio and liquid assets to total assets. Each of the components in the camel rating system is scored from 1 to 5. in the context of liquidity, a rating of 1 represents strong liquidity levels and well-developed funds as the institution has access to sufficient sources of funds to meet present and anticipated liquidity needs. on the other hand, the rating of 5 signifies critical liquidity deficiency and the institution demands immediate external assistance to meet liquidity needs. (uniform financial institutions rating system 1997, p.9). H5 : liquidity of selected banks has no significant impact on their financial performance 2.5 Conceptual framework based on the insights gained from review of the literature, the following conceptual framework showing the relationship between independent variables and dependent variable was created. 3. Research Methodology This section presents, research route that had been followed, the instrument employed, universe and sample of the study in which data is sourced, the tools of analysis used and pattern of deducing conclusions. 3.1 Research Design Descriptive design had been employed to organize and summarize a set of data in concise way which enables to identify the general features and trends in a set of data and extracting useful information. Simultaneously, explanatory research design was employed to examine the relationship between bank’s performance and components of camel model by deriving quantitative data from the annual report of banks. The target population of the study were16 private commercial banks which was registered by NBE and operating banking businesses in Ethiopia. the researcher used purposive sampling to select 6 banks based their capital accumulation in 2017 (i.e. banks with capital amount more than 2-billion ETB are selected) and which are easily accessibility to annual report. Data were collected collect using the audited annual financial reports of commercial bank of Ethiopia from year 2014 to 2018. 3.2 Methods of Data Analysis The collected data were analyzed using both descriptive and regression analysis. the researchers have been used descriptive statistical tools like mean, percentage, and ratios. the researcher is also used panel data for descriptive statics for camel ratios techniques of financial analysis, such as ratio analysis have been used to address the scientific evidence in the evaluation of performance of private commercial bank of Ethiopia. The data that collects organize in using percentage and tables to make it easy to analyze and interpret it. 3.3 Model specification For the purpose of this study a sort of multiple regression analysis employed to analyze the collected panel data. panel data is a bunch of cross section and time series observations. The model is developed as presented the below equations which indicates the effect model of the study with respect to four profitability indicators, ROA, ROE, i ta & nia where, indicates the random variable; β 1 …… β 11 " are coefficients of the explanatory variables: i shows the cross-sectional units or sampled private banks and t indicates the time periods from 2014 to 2018. 4. Data Analysis and Presentation this Section deals with the presentation and analysis of data collected from audited financial statement of private commercial banks .As stated in the theoretical prescription the financial performance analysis of awash international bank, Dashen bank, Abyssinia bank, Wegagen bank, united bank and nib international bank are concentrated on the five components of camel. This section provides the description statistic of the results obtained through camel analysis for the above 6-banks. the results and discussions of the study are described under the following heads. 4.1.1. Capital Adequacy: Here, capital adequacy measure as of total capital to total assets for this particular study; on the basis of group averages of the three parameters selected to rank the capital adequacy status of the six banks: united, Wegagen and Abyssinia held from first to third of the ranks respectively and Dashen stood last in this composite capital adequacy parameter due to its poor performance on capital to asset ratio, debt to equity ratio and advance to asset ratio. As shown table-1, with respect to ratio of total capital to total asset, united bank was at the top position with an average of 19.12% followed by Wegagen with an average ratio of 16.42, while Dashen bank ranked in the lowest position with an average of total capital to total asset ratio of 11.97%. as such, united bank, wegagen, and nib international bank held the rank in the top respectively and dab is seen to be the last. Moreover, three of the targeted banks (Abyssinia bank, Nib, and Dashen bank) are seen to have less than peer average debt-equity ratio indicates that a high debt/equity ratio is often associated with high risk; it indicates lessor indebtedness/obligation/. higher ratio indicates higher indebtedness which in turn may lead to liquidity crunch. hence, wegagen (average of 5.15 times) is indicated to have minimum commitment to third parties when compared with its peers whereas Dashen (average of 7.37 times) scored the least position is seen to be the most indebted bank when it is compared with its peers. in the above table, awash is seen to be relatively at the top with highest average of 50.86 followed by united with an average score of 49.12. on the other hand, nib is the least performer in this regard with an average score of 42.49. 4.2 Asset quality The quality of assets measure degree of financial strength. Tor the purpose of this study some of the important asset quality ratios had been adopted for analyzing data By group averages of tree sub-parameters of assets quality assessment ratios, united bank was at the first position with group average of 1.67. however, awash, Dashen & nib are ranked third position with group average of 3.67 and Wegagen bank is ranked sixth position with group average of 4.33 on the average of the three parameters selected to assess asset quality due to its poor performance in all sub-parameter ratios. As table-2 clearly display, based on the ratio of fixed asset to total asset, united bank placed at the top position with an average ratio of 2.89, followed by nib bank (3.34) & awash bank (3.52) respectively. Abyssinia bank stand at the bottom position with average ratio of (5.63). Once more, on the base of total loan to total assets ratio, Abyssinia bank stand at the top position with an average (51.81) ratio, followed by awash bank (50.86), united bank (49.12) nib bank scored lowest position with lowest average ratio of (42.49). More over, with a ratio of financial asset to total assets, united bank bank stand in the first position with an average ratio of (96.86), followed by Dasen bank (95.92), nib bank (95.73) Awash bank scored lowest position with an an average of 91.22. 4.3 Management Efficiency Analysis The group ranking is based on the average of individual bank’s management capability. the following table clearly reveals that management capability ratios by type of banks and the rank position of the banks. The Awash bank has the highest capital adequacy ratio and ranked first. it is followed by united bank, and occupying the second and two banks (Wegagen bank and nib bank are relatively equal performers having the average score of 3.5 each) third position respectively. the last position is occupied by Abyssinia bank. united bank has the highest total loan to total deposits ratio 65.80% and it is followed awash bank with 64.42% and the least performer in this regard is Dashen bank with an average ratio of 39.15%. On the base of profit generated per person employed by a bank, awash bank is on the top position with highest average of 13.95 followed by Dashen bank (13.06), united bank (11.68) and others. the high ratio of Dashen bank indicates higher the efficiency of management. Abyssinia bank scored the lowest position with least ratio of 8.98. And also, based on Asset diversification, Nib bank has the highest diversification ratio 93.37% and it is followed awash bank with 52.49% and the least performer in this regard is Abyssinia bank with an average ratio of 14.76%. 4.4 Earnings quality Based on the group averages of four indicators of quality of earning Wegagen bank took the first position in terms of earnings parameter of camel rating. it scores 2.25 in average, followed by Dashen bank and awash bank with 3.00 and 3.25 respectively. united bank is in last position among all the banks because of their lower earnings quality with the average score of 5.25. As exhibited above in Table-4, awash bank is at the top with an average ratio of 3.46 followed by Dashen bank and wegagen bank with 3.39 and 3.25 respectively. on the other hand, united bank is on the bottom with an average 2.56 and when it is compared through other peers. Again, earning quality of selected banks based on return on assets (ROE) Abyssinia bank is at the top with an average ratio of 72.18 followed by Wegagen bank and Dashen bank with 351.32 and 28.44 respectively. similarly, united bank lagging behind of all other banks with an average score of 18.41. it indicates the inefficiency of united bank in its earnings. similarly, nib bank is well performing compare to united bank. What is more, the earning quality of selected banks based on interest income to total assets ratio nib bank is at the top with an average ratio of 4.46 followed by Wegagen bank and Abyssinia bank with 4.25 and 4.01 respectively. similarly, Dasen bank lagging behind of all other banks with an average score of 3.13. it indicates the inefficiency of Dashen in its earnings. similarly, awash bank is well performing compare to Dashen bank. Lastly, the earning quality of selected banks based on non-interest income to total assets ratio, Dashen bank is at the top with an average ratio of 3.88 followed by Wegagen bank and awash bank 3.37 and 3.02 respectively. similarly, nib bank lagging behind of all other banks with an average score of 4.5 liquidity: liquidity is an important parameter of camel rating which reflects banks ability to handle its financial obligations. a bank must maintain adequate amount of funds in a liquid form to cover its short-term liabilities. excessive liquid funds may prevent banks from making higher profits. On the other hand, liquidity risk can damage good reputation of a bank. So, every bank prior concern is to secure optimal amount of liquid funds. if the liquidity management of a bank is not proper, it can adversely affect the performance of the banks. following two liquidity ratios were taken for the study. As above table-5 exhibited, the liquid asset to total deposit ratio of wegagen bank is found at top with highest average percentage of 62.06 which was followed by united bank with an average percentage of 58.58, while bank of awash was at last place with least average percentage of 24.66. 4.6. Composite Camel Ranking As exhibited below, the composite ratings of the respective banks have been calculated in order to assess the overall performance of private Ethiopian commercial banks through camel model. the composite camel ranking is given to compare the banks according to their rankings and which bank deserves the consideration while making financial decisions. As the above table-6 exhibited, ranking of the banks of Ethiopian private commercial banks for the period 2014-2018 with its overall financial performance under camel rating model. to evaluate the banks and calculate the group ranking i took the group rankings of each parameter of camel model. by averaging those 6 parameters i finally found the composite ranking. And the result shows that, Wegagen bank is in first position with the average score of 2.6. but it should pay close attention towards its asset quality and management area. followed by Abyssinia and united banks with average score of 2.8 and 3 respectively. on the other hand, nib bank stood in last position with the average score of 4.9. it needs close directions of authorities and supervisory agencies. Descriptive statistics from the results displayed above, the analysis of the means shows the following descriptive statistics: average profitability (m= 11.58, sd= 5.64), capital (m= 22.86, sd= 12.50), asset quality (m= 78.96, sd= 2.61), management efficiency (m= 39.29, sd= 12.50), earning quality (m= 11.58, sd= 5.64), and liquidity management (m= 47.68, sd= 15.51). hence, asset quality has the highest means (m= 78.96) with the deviation from the mean of 2.61. on the other hand, the lowest standard deviation for average profitability (5.64) indicates that all the data are clustered around the mean and thus more reliable. 5. Major Finding Camel rating approach is considered as an important tool for identifying the financial strengths and weaknesses of a bank. this analysis helps to point out possible weaknesses and suggest necessary corrective measures to overcome weaknesses and thus improve the overall performance of a bank. this study has been conducted to examine the performance of six selected private commercial banks in Ethiopia during the period (2014-18) with respect to camel ratios. The study result shows that, Wegagen bank is in first position. but it should pay close attention towards its asset quality and management area, followed by Abyssinia and united banks respectively. On the other hand, nib bank stood in last position. it needs close directions of authorities and supervisory agencies although, the scope of this study is limited to six selected banks only but this study is equally beneficial to all the private banks in Ethiopia since it has identified some specific areas for banks to work on on the basis of group averages of the three parameters selected to rank the capital adequacy status of the six banks: united, Wegagen and Abyssinia held from first to third of the ranks respectively and Dashen stood last in this composite capital adequacy parameter due to its poor performance on capital to asset ratio, debt to equity ratio and advance to asset ratio. With group averages of tree sub-parameters of assets quality assessment ratios, united bank was at the initial position. however, awash, Dashen & nib were equally ranked in the third position and wegagen bank is ranked sixth position. The other group ranking is based on the average of individual bank’s management capability. Hence, awsh bank has the highest capital adequacy ratio and ranked first, followed by united bank, and also, two banks Wegagen bank and nib bank were found as relatively equal performers third position respectively and the last position is occupied by Abyssinia bank. Based up on the group averages four earning quality indicators, Wegagen bank took the first position, followed by Dashen bank and awash bank respectively. United bank is in last position among all the banks because of their lower earnings quality with the average score of 5.25 The liquidity position of Wegagen bank were found as the most liquid banks, awash bank and Abyssinia respectively the last positioned bank . References Aburime, T. (2008) determinants of bank profitability: macroeconomic evidence from nigeria. available at ssrn: http://ssrn.com/abstract=1231064 or http://dx.doi.org/10.2139/ssrn.1231064 Admasu B., and asayehgn D. (2014), ‘banking sector reform in Ethiopia’, international journal of business and commerce, 3 (8), 25-38 Alemayehu, G. (2006), the structure and performance of ethiopia’s financial sector in the pre-and post-reform period with a special focus on banking Yanda, a.M., christopher, Mudashiru, M. (2013) determinants of banks, profitability in developing economy: evidence from nigerian banking industry’, interdisciplinary journal of contemporary research in business , 4(9), 155-181 Baral, k.J. (2005) health check-up of commercial banks in the framework of camel: a case study of joint venture banks in nepal’ , the journal of nepalese business studies, 2(1) pp.14-35 bodla, b.s.; and verma, R. (2006), ‘evaluating performance of banks through camel model: a case study of sbi and icici’, the icfai journal of bank management , vol. 5, no. 3, pp. 49-63 Brooks, C., (2008), introductory econometrics for finance , second edition, cambridge university press, new york. Cooper, d.c., & Schindler, P. (2009), business research methods , ninth edition, tata mcgraw-hill, new delhi. Creswell, j., (2009), research design: qualitative, quantitative, and mixed methods approaches , 3rd edition, by sage publication inc., 2009 Dang, U.(2011), the camel rating system in banking supervision: a case study’ , arcada university of applied sciences, international business. lelissa B. (2007) the impact of financial liberalization on the ownership, market structure & performance for the Ethiopian banking industry, mba thesis, addis ababa university. Malhotra, N. (2007), marketing research: an applied orientation, 5th edn. phi, new delhi.maryam azizi, dr. Yusef (2014). “review financial performance of mellat bank according to camel model”: journal of multidisciplinary research, vol. 3 issue 1. issn 2278-0637 Anwarul B., (2012) “performance analysis through camel rating: a comparative study of selected private commercial banks in bangladesh” journal of politics & governance, vol. 1, no. 213, pp 16-25. Muhammad, H.(2009) bank & camels (retried) banks & camels Nabilah R., & reshindeh A. (2013) camels & performance evaluation of banks in malaysia: conventional versus islamic” journal of islamic finance & business research vol 2, no 1 pp 36-45 Olweny, t & Atemnkeng, J. (2006) effects of banking sectoral factors on the profitability of commercial banks in kenya, economics and finance review, vol. 1, no. 5, pp. 1-30. Olweny, T & Shipo, M. (2011) effects of banking sectoral factors on the profitability of commercial banks in kenya; economics & finance review, vol. 1 no. s, p.p. 1-30 Samuels, W.J (1993) john r hicks & the history of economics, history of political economy, Michingan state university, USA: duke university press, 25 (2) 351-374 September, (2007) bank supervision process comptroller’s handbook” September, (1999) camels rating system” supervision & examination sector department of rural banks. Additional Declarations The authors declare no competing interests. Supplementary Files Annex.docx Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-5559602","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":384789475,"identity":"e9dae212-d1cb-4cc1-b9c8-f67e1a6f9347","order_by":0,"name":"Mitku Malede Yimer","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA9ElEQVRIiWNgGAWjYDACZiAEAhkGhgSGAxIVIBHmBgJamMFaeIBaGB9YnAGJMBLQwoDQwmxQ2QZiE9Ci285/2Jg3x46Hnz35mMTNebXR/O1ALT8qtuHUYnaYmTmZd1syj2TPszTJmduO5844zNjA2HPmNl4th3m3MfMY3Mgxk5bcdiy3AaiFmbGNoJZ6Hvsb+d+k/845ljufGC1Ahx3mMZDIYTaQbKjJ3UCEFmPDuduO80iceWb4QOLYgdyNQC0H8frl/MHHEm+3Vcvxtyc/OCBRU5c77/zhgw9+VODWgg4Og8kDRKsHgjpSFI+CUTAKRsEIAQAiFVhoU7bDGQAAAABJRU5ErkJggg==","orcid":"","institution":"Debark University","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Mitku","middleName":"Malede","lastName":"Yimer","suffix":""}],"badges":[],"createdAt":"2024-12-01 17:37:41","currentVersionCode":1,"declarations":{"humanSubjects":true,"vertebrateSubjects":true,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":true,"humanSubjectConsent":true,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":true,"vertebrateSubjectEthicalGuidelines":true,"coiExplicitlySet":false},"doi":"10.21203/rs.3.rs-5559602/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-5559602/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":70565740,"identity":"1655ef5d-0535-436a-b281-89c184afa84b","added_by":"auto","created_at":"2024-12-04 12:45:42","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":18774,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cem\u003ecamel model\u003c/em\u003e\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-5559602/v1/7041834b0864ef5893130fb1.png"},{"id":70564378,"identity":"dcda4364-1953-4022-ab8e-a818c11bd7e8","added_by":"auto","created_at":"2024-12-04 12:29:42","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":124489,"visible":true,"origin":"","legend":"\u003cp\u003eUnnumbered image in the literature review \u0026nbsp;and Statement of Hypothesis construction section.\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-5559602/v1/a1efcd65fa15ade5e8baffb1.png"},{"id":70567342,"identity":"d6c76e42-8985-4adb-a9b2-9392c341b104","added_by":"auto","created_at":"2024-12-04 13:01:52","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":566931,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-5559602/v1/dcb4b4a5-4897-408c-a1dc-a1f6b1003b2d.pdf"},{"id":70564608,"identity":"4f7d0001-17d2-441e-afa8-157e3881be8b","added_by":"auto","created_at":"2024-12-04 12:37:42","extension":"docx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":402738,"visible":true,"origin":"","legend":"","description":"","filename":"Annex.docx","url":"https://assets-eu.researchsquare.com/files/rs-5559602/v1/3ef6484d9b6c2e14f431bdff.docx"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003e\u003cstrong\u003eEvaluating Financial Performance of Commercial Banks Applying CAMEL Model: Evidence From Private Commercial Banks of Ethiopia\u003c/strong\u003e\u003c/p\u003e","fulltext":[{"header":"1. Introduction","content":"\u003cp\u003eNow a day, commercial bank is working on financial inclusion wit the support of current technology advancement to \u0026nbsp;provide more financial services and banking products. With this regard, Bank is \u0026nbsp; reaching out its customer as well as general public with Mobil banking, internet banking or other \u0026nbsp;otherwise to \u0026nbsp;channeling the the flow of fund among those who do have surplus and those of shorts. As such, it take part on country economy growth. banking sector is a major constituent that enables effective and appropriate utilization of financial resources of the country (babar and zeb, 2011). \u0026nbsp; \u0026nbsp;the private banks were in a better position than the public banks in terms of asset quality, management quality, and earning ability, while public banks were better in capital adequacy. however, liquidity position was high for both private and public commercial banks (Anteneh, A. and yonas, 2011). Buna international bank ranked first by capital adequacy, asset quality and liquidity ratio while commercial bank of Ethiopia ranked first by management efficiency and earning ratios respectively while, Wegagen bank was the first by the composite rate (Mulualem, 2015). \u0026nbsp;Nib\u0026rsquo;s overall performance was good, (Dakito,2015). Although various studies were conducted \u0026nbsp;to determine \u0026nbsp;bank performance applying camel Model parameters, only \u0026nbsp;a few studies were done in private commercial banks of Ethiopia. however, there is no research was conducted on the detail of management efficiency ratios like diversification ratio, profit per employee ratio and business per employee ratios to evaluate performance of private commercial bank of Ethiopia. Thus, ratios component of the camel rating system mainly focuses on the management efficiency which is a signal for the ability of the board of directors and senior managers to identify, measure, monitor and control risks associates with the banks and to reduces maturity mismatches between management efficiency to optimize returns. The novel feature of this study were to examine the performance and financial soundness of private commercial banks of Ethiopia for the years 2014-2018 (5 years) using camel rating model...\u0026nbsp;\u003c/p\u003e"},{"header":"2. literature review and Statement of Hypothesis construction","content":"\u003cp\u003eHere, in this section related literature had been presented followed by development of hypothesis. \u0026nbsp;public sector banks were significantly less efficient, \u0026nbsp;while domestic private banks matched well in efficiency with foreign owned joint venture banks (jha and hui,2012). Again, voon (2013) researched on the financial performance of seven local banks and three foreign banks in malaysia for the years 2007-2011 adopting camel approach and determine that, \u0026nbsp;foreign banks performed better than local banks. srinivas, saroj (2013) concluded that the icici banks performance is slightly less compared with hdfc. \u0026nbsp;lakhtaria (2013), compared the performance of baks and \u0026nbsp;indicated that bank of baroda topped among all the three selected banks. Mohiuddin (2014) looked at the financial performance of two major banks in bangladesh using camel parameters, he concluded that, the capital adequacy, asset quality, management capability and liquidity were found satisfactory. And alSo Golam Mohiuddin (2014), had considered two major banks of bangladesh for his studies with 5 years data for the \u0026nbsp;studies and revealed that, \u0026nbsp;the performance of both the banks was quite satisfactory as per the acronym of camel model. Amit, and lakhvendra, (2015) attempted to rank 42 Indian commercial banks based on their overall performance over a period of five years (2010 to 2014). they found that, on average yes bank was at the top position followed by hdfc bank and Indian bank. harsh vineet (2016) \u0026nbsp;among the public sector banks, the best bank ranking has been shared by Andhra bank and state bank of patiala. Among the private sector banks, Jammu and kashmir bank has bagged the first rank followed by hdfc bank. in the category of foreign sector banks, Antwerp bank has been ranked the best followed by jp morgan chase bank. Mousa (2016) evaluated the performance of three selected Islamic banks in Jordan for the period 2010-15 applying camel model and noted that all the selected banks had adequate capital: their assets and earning capacity were growing despite the slowdown of the economy and regional instability. Masood, ghauri and aktan (2016) noted that, two of the islamic banks were showing satisfactory results, while others were on fair position. they also highlighted that there was need to develop financial markets for treasury operations for these banks. Nancy bawa (2017) compared performance analysis of nationalized banks using camel model covering 19 nationalized banks for a period of 2006-16. he reveals from his study that indian bank is at a top in terms of capital adequacy, bharatiya mahila bank in terms of asset quality, idbi in terms of management efficiency \u0026amp; earnings quality and andhra bank is in overall performance. More over, iheanyi and sotonye (2017) findings Indicate that, management efficiency, earnings and liquidity have no significant impact on the profitability of banks. they researchers also found that asset quality has a negative impact on the profit of the banks. Capital adequacy, asset quality and management efficiency had negative relationship, whereas earnings and liquidity showed positive relationship with both profitability measures with strong statistically significance except for capital adequacy which was significant for return on assets and for return on equity (Mulualem, 2015). Ermias (2016) found out, unb, nib, and boa have held from 1st to 3rd rank. As such bank specific factors incorporated in the camel model \u0026nbsp;explain 67.5% of the changes in profitability of the private commercial banks in Ethiopia.\u003c/p\u003e\n\u003cp\u003e2.1 CAMEL Model\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eOn November 13, 1979, the federal financial institution council adopted the uniform financial institution rating system, referred to camel rating. later in October 1987, the national credit union administration adopted the camel rating. reliability, profitability and liquidity is critical in the assessment of performance of an organization and in that context, camel model which underscores capital adequacy, asset quality, management quality, earning ability and liquidity as criteria for assessment can be taken as a reliable tool to evaluate the soundness of financial firms (Ghasempour \u0026amp; salami, 2016; Aspal and Dhawan, 2016). Following, \u0026nbsp;the development of various data analytical tools, evaluation of banks profitability and financial soundness have grown in more advanced analytical models (Roman and sargu, 2013). in recent years, the most used approach to assess the financial soundness of financial institutions is the camels framework (Baral, 2005). As Rostami (2015) indicated, camel model is a tool that is very effective, efficient and accurate and can be used as a performance evaluate in banking industries and to anticipate the future and relative risk. For the purpose of this study, camel model for data analysis, which has 5 performance parameters; capital adequacy, asset quality, management quality, earnings and liquidity. Thus, excluding only the sensitivity element. it is believed that the evaluation of the financial performance of banks should consider the adequacy of capital, bank management, the earnings, and their liquidity (Merchant, 2012).\u003c/p\u003e\n\u003cp\u003e2.2 Capital adequacy:\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe financial soundness of banks is well reflected by their capital adequacy, which \u0026nbsp;represents the level of capital that banks need to withstand risks such as credit, market, and operational risks. Capital adequacy consist of components such as capital adequacy ratio, debt equity ratio, total advances to total assets ratio (Muralidhara and lingam, 2017). According to Mulualem (2015) finding, capital adequacy ratio is positively correlated with return on asset and return on equity and statistically significant. On the other hand, Dawit (2016) determine a negative relationship with return on equity of sampled Ethiopian commercial banks.\u0026nbsp;\u003c/p\u003e\n\u003cul\u003e\n \u003cli\u003e\u003csub\u003eH1:\u003c/sub\u003e Capital adequacy has no significant impact on selected banks\u0026rsquo; financial performance.\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e2.3 Asset quality:\u0026nbsp;\u003c/p\u003e\n\u003cp\u003ebanks try their level best to keep non-performing loans to a small percentage as the existence of large non-performing loans will detrimentally affect their profitability. Aspal and dhawan, (2016) Measuring the composition of non-performing assets \u0026nbsp; as a percentage of the total assets \u0026nbsp;show that, the lower the ratio the better the bank performing. again, Mulualem (2015) asset quality has positive correlation with return on equity and return on asset.\u003c/p\u003e\n\u003cul\u003e\n \u003cli\u003eH2: Asset quality has no significant impact on selected banks\u0026rsquo; financial performance\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e2.5.3 management Efficiency\u003c/p\u003e\n\u003cp\u003eIt is obvious that, capability of the management to use its resources efficiently, income intensification, decreasing operating costs that can be also used to find out whether a bank is relatively over or understaffed. \u0026nbsp;As depicted by Mulualem (2015), the management efficiency ratio is negatively correlated with return on asset and returns on equity.\u003c/p\u003e\n\u003cul\u003e\n \u003cli\u003e\u003csub\u003eH3:\u0026nbsp;\u003c/sub\u003eManagement efficiency has no significant impact on selected banks\u0026rsquo; financial performance\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e2.3 Earnings ability:\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eAccording to Ahmad (2011) there is a strong negative relationship between return on Asset \u0026nbsp;and banks asset management ratio. khizer et.al. (2011), in his study about profitability indicators of banks in pakistan for the period of 2006-2009 find that, profitability is directly and positively affected by operating efficiency, assets management ratios, and size. More over, \u0026nbsp;Return on Asset is positively related with assets management and negative association was found with size and operating efficiency (Anteneh,2018)\u003c/p\u003e\n\u003cul\u003e\n \u003cli\u003e\u003csub\u003eH4 :\u003c/sub\u003eEarning ability has no significant impact on selected banks\u0026rsquo; financial performance\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e2.4 liquidity:\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eliquidity ratio measures the ability of the bank to meet its immediate obligations. According to, Muralidhara and lingam (2017) the liquidity of banks measure through current ratio/ quick ratio and liquid assets to total assets. \u0026nbsp;Each of the components in the camel rating system is scored from 1 to 5. in the context of liquidity, a rating of 1 represents strong liquidity levels and well-developed funds as the institution has access to sufficient sources of funds to meet present and anticipated liquidity needs. on the other hand, the rating of 5 signifies critical liquidity deficiency and the institution demands immediate external assistance to meet liquidity needs. (uniform financial institutions rating system 1997, p.9).\u003c/p\u003e\n\u003cul\u003e\n \u003cli\u003e\u003csub\u003eH5\u003c/sub\u003e:\u0026nbsp;liquidity of selected banks has no significant impact on their financial performance\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e2.5 Conceptual framework\u003c/p\u003e\n\u003cp\u003ebased on the insights gained from review of the literature, the following conceptual framework showing the relationship between independent variables and dependent variable was created.\u003c/p\u003e"},{"header":"3. Research Methodology ","content":"\u003cp\u003eThis section presents, research route that had been followed, the instrument employed, universe and sample of the study in which data \u0026nbsp;is sourced, the tools of analysis used and pattern of deducing conclusions.\u003c/p\u003e\n\u003cp\u003e3.1 Research Design\u003c/p\u003e\n\u003cp\u003eDescriptive design had been employed \u0026nbsp;to organize and summarize a set of data in concise way which \u0026nbsp;enables to identify the general features and trends in a set of data and extracting useful information. Simultaneously, explanatory research design was employed to examine the relationship between bank\u0026rsquo;s performance and components of camel model by deriving quantitative data from the annual report of banks.\u003c/p\u003e\n\u003cp\u003eThe target population of the study were16 private commercial banks which was registered by NBE and operating banking businesses in Ethiopia. the researcher used purposive sampling to select 6 banks based their capital accumulation in 2017 (i.e. banks with capital amount more than 2-billion ETB are selected) and which are easily accessibility to annual report. Data were collected collect using the audited annual financial reports of commercial bank of Ethiopia from year 2014 to 2018.\u003c/p\u003e\n\u003cp\u003e3.2 Methods of Data Analysis\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe collected data were analyzed using both descriptive and regression analysis. the researchers have been used descriptive statistical tools like mean, percentage, and ratios. the researcher is also used panel data for descriptive statics for camel ratios techniques of financial analysis, such as ratio analysis have been used to address the scientific evidence in the evaluation of performance of private commercial bank of Ethiopia. The data that collects organize in using percentage and tables to make it easy to analyze and interpret it.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;3.3 Model specification\u003c/p\u003e\n\u003cp\u003eFor the purpose of this study \u0026nbsp;a sort of multiple regression analysis employed \u0026nbsp;to analyze the collected panel data. panel data is a bunch of cross section and time series observations. The model is developed as presented the below equations which indicates the effect model of the study with respect to four profitability indicators, ROA, ROE, i ta \u0026amp; nia\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003ewhere, indicates the random variable; \u0026beta;\u003csub\u003e1\u003c/sub\u003e\u0026hellip;\u0026hellip; \u0026beta;\u003csub\u003e11\u003c/sub\u003e\u0026quot; are coefficients of the explanatory variables: \u003cem\u003ei\u0026nbsp;\u003c/em\u003eshows the cross-sectional units or sampled private banks and \u003cem\u003et\u0026nbsp;\u003c/em\u003eindicates the time\u003c/p\u003e\n\u003cp\u003eperiods from 2014 to 2018. \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp; \u0026nbsp;\u003c/p\u003e"},{"header":"4. Data Analysis and Presentation","content":"\u003cp\u003ethis Section deals with the presentation and analysis of data collected from audited financial statement of private commercial banks .As stated in the theoretical prescription the financial performance analysis of awash international bank, Dashen bank, Abyssinia bank, Wegagen bank, united bank and nib international bank are concentrated on the five components of camel. This section provides the description statistic of the results obtained through camel analysis for the above 6-banks. the results and discussions of the study are described under the following heads.\u003c/p\u003e\n\u003cp\u003e4.1.1. Capital Adequacy:\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;Here, capital adequacy measure as of total capital to total assets \u0026nbsp;for this particular study;\u003c/p\u003e\n\u003cp\u003eon the basis of group averages of the three parameters selected to rank the capital adequacy status of the six banks: united, Wegagen and Abyssinia held from first to third of the ranks respectively and Dashen stood last in this composite capital adequacy parameter due to its poor performance on capital to asset ratio, debt to equity ratio and advance to asset ratio.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003eAs shown table-1, with respect to ratio of \u0026nbsp;total capital to total asset, united bank was at the top position with an average of 19.12% followed by Wegagen with an average ratio of 16.42, while Dashen bank ranked in the lowest position with an average of total capital to total asset ratio of 11.97%. as such, united bank, wegagen, and nib international bank held the rank in the top respectively and dab is seen to be the last. Moreover, three of the targeted banks (Abyssinia bank, Nib, and Dashen bank) are seen to have less than peer average debt-equity ratio indicates that a high debt/equity ratio is often associated with high risk; it indicates lessor indebtedness/obligation/. higher ratio indicates higher indebtedness which in turn may lead to liquidity crunch. hence, wegagen (average of 5.15 times) is indicated to have minimum commitment to third parties when compared with its peers whereas Dashen (average of 7.37 times) scored the least position is seen to be the most indebted bank when it is compared with its peers.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003ein the above table, awash is seen to be relatively at the top with highest average of 50.86 followed by united with an average score of 49.12. on the other hand, nib is the least performer in this regard with an average score of 42.49.\u003c/p\u003e\n\u003cp\u003e4.2 Asset quality\u003c/p\u003e\n\u003cp\u003eThe quality of assets measure degree of financial strength. \u0026nbsp;Tor the purpose of this study some of the important asset quality ratios had been adopted for analyzing data\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eBy group averages of tree sub-parameters of assets quality assessment ratios, united bank was at the first position with group average of 1.67. however, awash, Dashen \u0026amp; nib are ranked third position with group average of 3.67 and Wegagen bank is ranked sixth position with group average of 4.33 on the average of the three parameters selected to assess asset quality due to its poor performance in all sub-parameter ratios.\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003eAs table-2 clearly display, based on the ratio of \u0026nbsp;fixed asset to total asset, united bank placed at the top position with an average ratio of 2.89, followed by nib bank (3.34) \u0026amp; awash bank (3.52) respectively. Abyssinia bank stand at the bottom position with average ratio of \u0026nbsp;(5.63). Once more, on the base of \u0026nbsp;total loan to total assets ratio, Abyssinia bank stand at the top position with an average (51.81) ratio, followed by awash bank (50.86), united bank (49.12) nib bank scored lowest position with lowest average ratio of (42.49). More over, with a ratio of \u0026nbsp;financial asset to total assets, united bank bank stand in the \u0026nbsp;first position with an average ratio of \u0026nbsp;(96.86), followed by Dasen bank (95.92), nib bank (95.73) Awash bank scored lowest position with an an average of 91.22.\u003c/p\u003e\n\u003cp\u003e4.3 Management Efficiency Analysis\u003c/p\u003e\n\u003cp\u003eThe group ranking is based on the average of individual bank\u0026rsquo;s management capability. the following table clearly reveals that management capability ratios by type of banks and the rank position of the banks. The Awash bank has the highest capital adequacy ratio and ranked first. it is followed by united bank, and occupying the second and two banks (Wegagen bank and nib bank are relatively equal performers having the average score of 3.5 each) third position respectively. the last position is occupied by Abyssinia bank.\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003eunited bank has the highest total loan to total deposits ratio 65.80% and it is followed awash bank with 64.42% and the least performer in this regard is Dashen bank with an average ratio of 39.15%. On the base of profit \u0026nbsp;generated per person employed by a bank, \u0026nbsp;awash bank is on the top position with highest average of 13.95 followed by Dashen bank (13.06), united bank (11.68) and others. the high ratio of Dashen bank indicates higher the efficiency of management. Abyssinia bank scored the lowest position with least ratio of 8.98. And also, \u0026nbsp; based on Asset diversification, Nib bank has the highest diversification ratio 93.37% and it is followed awash bank with 52.49% and the least performer in this regard is Abyssinia bank with an average ratio of 14.76%.\u003c/p\u003e\n\u003cp\u003e4.4 Earnings quality\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eBased on the group averages of four indicators of quality of earning Wegagen bank took the first position in terms of earnings parameter of camel rating. it scores 2.25 in average, followed by Dashen bank and awash bank with 3.00 and 3.25 respectively. united bank is in last position among all the banks because of their lower earnings quality with the average score of 5.25.\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003eAs exhibited above in Table-4, awash bank is at the top with an average ratio of 3.46 followed by Dashen bank and wegagen bank with 3.39 and 3.25 respectively. on the other hand, united bank is on the bottom with an average 2.56 and when it is compared through other peers.\u0026nbsp;Again, \u0026nbsp;earning quality of selected banks based on return on assets (ROE) Abyssinia bank is at the top with an average ratio of 72.18 followed by Wegagen bank and Dashen bank with 351.32 and 28.44 respectively. similarly, united bank lagging behind of all other banks with an average score of 18.41. it indicates the inefficiency of united bank in its earnings. similarly, nib bank is well performing compare to united bank. What is more, \u0026nbsp;the earning quality of selected banks based on interest income to total assets ratio nib bank is at the top with an average ratio of 4.46 followed by Wegagen bank and Abyssinia bank with 4.25 and 4.01 respectively. similarly, Dasen bank lagging behind of all other banks with an average score of 3.13. it indicates the inefficiency of Dashen in its earnings. similarly, awash bank is well performing compare to Dashen bank.\u003c/p\u003e\n\u003cp\u003eLastly, \u0026nbsp;the earning quality of selected banks based on non-interest income to total assets ratio, Dashen bank is at the top with an average ratio of 3.88 followed by Wegagen bank and awash bank 3.37 and 3.02 respectively. similarly, nib bank lagging behind of all other banks with an average score of 4.5 liquidity:\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eliquidity is an important parameter of camel rating which reflects banks ability to handle its financial obligations. a bank must maintain adequate amount of funds in a liquid form to cover its short-term liabilities. excessive liquid funds may prevent banks from making higher profits. On the other hand, liquidity risk can damage good reputation of a bank. So, every bank prior concern is to secure optimal amount of liquid funds. if the liquidity management of a bank is not proper, it can adversely affect the performance of the banks. following two liquidity ratios were taken for the study.\u003c/p\u003e\n\u003cp\u003e\u003cimg 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QZnfdNKLiIhaKf4OExFRmEIwECgYqml5qKjt6Of+1LgfanltA5tg3nsDBkuAbeinAQW7nq+6vk5xyJ8i/PYVmk+yOR4RUXPAgImIiKgZMb+9xOZ4RETNA5vkERGFpcDN4VorNANs8FqtesOxc9fAERGRG5vkERFRiDFY8qdlBCE4dgyWiIiaCwZMREREREREDkLeJI+IiIiIiKghsEkeERERERFRM8KAiYiIiIiIyEHImuSpH4o4sUtPEMQM6q3+btnyrfpL1NgGDTpD/d25032JErVUsbEiv/wiUloq0oa3+qiF6NtX5OefRXbsEGnbVs8korpp317khx9Evv9e5LTT9MzGwa8dIiIiIiIiBwyYiIiIiIiIHDBgIiIiIiIicsCAiYiIiIiIyAEDJiIiIiIiIgcMmIiIiIiIiBwwYCIiIiIiInLAgImIqJaeeOIJWbx4sYTqZ+yIGhPPX2oOvvvuOxkyZIi0adNGrrvuOvnmm2/0ktbpk08+kV//+tcqL77++ms9l5oLBkxERLXw8ccfy7Jly9QDz4laEpyzzzzzjDp/jx8/rucSNR4TKHXo0EEKCwtV4P7mm2/KWWedJaNGjZKf8Uu/zQyCme7du6vgLiIiwvO47LLLpLKykjcfWgEGTERERETUKKZMmSKbN2+WO++8U3766ScVbOCxd+9eufDCC/VazVPXrl3l6NGj8ssvv8i4cePkyJEjsnr1ajVN4Y0BExERERE1uHfeeUfy8/Plmmuukaeeekratm2rl4hcffXVsmjRIjUPNaGo0bn99tvlvPPOk3PPPVd27typAiukgcDKXtOzcOFCFbSYZfaaKgQ2559/vuf1prZo+vTpEh0d7ak1qm3t1pVXXqleB/5qoOy1T07bxH47bXPJkiVyyimnqP1CYElNiwETERERETW4jz76SL744gvVJO+MM87Qc5299NJLan0030MghMADQRQCiNLSUtWstFu3birw2L17twpOgpWWlib/+Z//qQKpCy64QAoKCmTPnj1BpfHuu+/K/PnzVTPCQYMGyWeffSa/+tWvVI2TvfbJd5+wzU6dOsmLL76ogqFnn31WvQffbSLwW7BggQwcOFCefPJJtS41LQZMRERERNTgysrK9DO3vLw8FQyYWhnfWh4EIxgA4dChQyrQQLM9PJ81a5b07t1bLrroIpk0aZJaZ8uWLbUKmJA2ghGk8+CDDwaVxuHDh6Vz587Ss2dP+T//5/+o/YmJiVHTb7/9ttpHvI9bb71V1SLh/drTwzZzc3Pld7/7ndx9992qPxeCQLtjx45JSkqK/N//+38lKytLzjzzTL2EmhIDJiKiEMIXKJqQjB49ulZf3kRNDecumi6Zwuurr77Kc5hCCrVB8N5776lzKykpSdUWvf76617N85wcOHCg2jmJpm44XxuD6cOEkSbx96GHHlIBHgKf66+/Xr0H7It5X3Vx8OBB+fLLL3ntNTMMmIiIQgQFzpEjR6qmGUQtDQp9mzZtUk2EoqKiZOnSpfLtt9/qpUT1d/HFF6v+SLVp/mbnLzjyF0ThHK7LuWsCuprcc889kpCQIBs3blSf+5mZmWogi3nz5qlAydSc1QVqof74xz+qgOzhhx+uVb8qajgMmIiI6gDNQvDljy9vFADw5Y9mGf/617+kX79+ei2i5gnn7yWXXOI5f9HX4re//a06h9G3BHfSiUINAzuY5m+xsbEq6MBnJgZDCGakuY4dO8o555zj6bOEYAV9fbp06aJuVqGJHpqwoWkdaoEGDx4sK1eu9Js21kHTub/97W+qiR/6I5nP9JqguRxqlL766it1Y8Ge/r///e9q82prwoQJKm+wb6h9q09aFBoMmIiIiMhj69at8sYbb6jhn4PpmE9UG9OmTZNXXnlFNV/D7y/9x3/8h6evj33kOX8QcK1YsUL9yC0Crl69eqkanTVr1qgbAKZPE/oP/eUvf5GKigqZOnWqmvaF0eoweIMZ3tz0iwomYAKM9IebDSUlJWpwhsjISJk9e7YK2H788Ud10yHYtHydfvrpalAJNO+eMWOG6tfEJnpNK8I6AKE5AjgpTuzSE42kcK5EpORK3Pz1Ujy5k57ZfMQM6q3+btnCJg1BqVgmCT1nSymej82RE+mJarazClmW0FMOzDohNa4alFCnZ9eQaTsbNMhd2Nm5032JUuMYM2aM+nLDnc26fmGSN6tsJLjJWmp9QPgp+1CIoCnRTTfdpO7ao6DG87d++vYVQYuqHTvEChD0TGpSGGQBAQ4CrJdfflnVLFEL0b69yA8/iHz/vchpp+mZjaOFfu1USnpCjBUsieSfWC8jcodLRMJqKddLC1zWsg4xEr+sUs8B92u854WXQlcHNfRmwrIKPQdQUPed1zxVbMqVUgRKJ044BkvqPboK9RQREYUKmjeNHTuWwRIRkY+WGTBVbJd1pclWsPSQDJVO4tq8S05uHilRejHExfaQktl/lPTmHyeEFKqoS2dPlBYQHxGFHRQ40YQiOztbVq1apTrOo/MxUUuAPh34zZuZM2eqJkymbxObAlE4Qn8lNjmlYLXghg25siFQRUPynyV/7D6ZurRYz2glkjMkZ2ypzF7qP3NMLZR5VK+NSpBlhcskwbOOSwp1LZV72lruFYwVisuzrvVIWGat7cRnXVta2K+es0tFslLUsuqVSO59SMmynup1PPtebt/f+uyfFiA95/zzl3e++2JT6Aq8nFokdJj//PPPVQETD7SfRydlopbAdLw35y+Cp9r06SBqCfADuBhZDze1ghnKnAhaZsAUOVIeGSuSmRLj1RTP19ApMyQua3mrq2VKnDJfYrMW+imMWzOS9rqbvOGRM1ZKZy+1Qgo7K9hKOSCz1Dp7ZX5slqR0cPe9wWtUMDbRBB0IElJEcnR6WF9my0S/UYB73ffnV21/73zxpJWYjulYd98la1n1FnmRMnkztm891etsnhyplmTNNvur988TLNZm/6pUS8/2fgPnnz3vfPfFBsFSyvsyf+9m0W+BiIiIiJqplj3oQ8Vqie+5WEqsp/aBH9CH6dHu7mk8H/b+DDm4ub/kJQyXdcmNN0BEYw/6gNqPhd33qkACz1Peny97Nw+RTQk9JTfZPd+LGmQhV5I9BXcEGN4DE6h0xDYAAwr7C7tb6U6WSPV6BAjpYuKbimUJ0vPArOp9kPys67t9x9faeO9P9f1VaeQm137/lOrp+e6jF69lNeyLSTt5vrw/2yG9BmAGfSAiIiJqyUr2tJdTT3LQh9qLHCnFVpB2MifZsb+SqmUqXSyL/NzoD2eqlql0tvhWcKAQ72lSZkakq6uKA9brUQNlmqDpZnX+qHV9REbJ5fppqERG2VKszf4FqTb557UvWtZsvOZyiWqEYImIiIiI6q9l1zB5FMvEDi6RnF2SkehdwwTly8ZJdG6UpEqu7G8lNUzgruG4XMZaQcP7qGEassm7xqVa7Un9a5gcqWZoaB3XsDVMdd4/pYYaJvFJz2v/a9gXW9pJeab2D/MbFocVD50+fUTwacm8bBocVrxpMN/rh8OKU13h98+3bRNp107PIA4rXlvly+Z61yYVbpVM6SG/cSh9Rk0eL6mluZJZv8qFFidy8iwZW5olWeZ9+9by+Kv1qQ1VQ5QlC4MZuSAxSQVu9nULl86W0thkGVKLqCGyu/XtHaza7J9NVgoGunDz2scQ5V9iursvVU8Oj05ERETU7LXIgClqSFdZ19P9W0vqkZIrqTkrxOVY8I6XjJxk/bw1SZR0NUqCljhFD+Kgm5TliRXE1IeVvhq5oWdVMzXr4T8OqL5uStZYyallLUvkkGSJ9R0lz1Ft9s+IlfnWS0wepWRZ0xl6H0OWf5EyOQMDc6TUsC9ERERE1NTCpEle89TYTfKIfLFJXuiwSV7TYtOwpsF8rx82yaO6YpM8P9gkj4iIiIiIqPlhwEREREREROSAARMREREREZEDBkxE1CRGjx4tERERkpCQIN9+W9XP77vvvpM77rhD9u7dq+dQY0L+Dx48WF577TU9h+pizJgx0qZNG7nuuuvkxIkTem7V+b1nzx49hxoL8j4xMVGd26Hqvk21M27cOGnbtq26Lr755hs9131sfve738nu3bt5bFowHMehQ4fKK6+8Ir+g82MYYcBERI3u9ddfV3/xxXjxxRdLZmammobf//730qdPH+nZs6eeQ75MYRwBp3k8/vjjLGg0E3l5eervzz//LJ06dZLnnnvOc2zuu+8+nt8Oxo4dW+28XrRoEc/rMIHrAsfyf//3f6VLly7qujCF6ilTpkivXr3UdYHjTg1n/PjxKmi1X2cLFy5Un1fkjAETETW6AwcOSI8ePdTz2267Tfbt26eeI5D66KOPJDU1VU2TMxQkUdhAAWTx4sXy7LPPyscff6yXUlPC+X3llVeq5zi/33vvPfUcBUac3/fccw8LhQ5QcLOf1xkZGXL8+HG9lFqysrIyueKKK9S5f+utt8r777+vjjOui2PHjqnrAgEzNbwFCxbITz/9pPJ/yZIl8vzzz6vPJkyTfzwziajRde/e3RMkmeAJhf2//OUvKhA44wz3cOgUnG7duulnVXxroUwNlGkStnz5cjnvvPPUsnPPPdexiRiCWKzHJmTBw/ltgiQTPJnzGwUV/I4b1Qz56BtY+tZC2WugcG6PHDlSFf7OP/98z7nt1MwLBXWsx2ZgjQOfU/v371d5bYKnTz75RB599FGZO3cur4smguNiv858a6DwmWVqn3CN3Xnnnap28MILL/RcY6WlpX6vofz8fLWe0/KWhAETETW63r17S3FxsfqwXbZsmSrkzJ49W0aMGMGmSrWEgvjUqVNl0qRJctFFF6l5+FLDl565U48+G/YaqC+//FIVUN599121/IYbbpD09PRqX2gIllBA3bRpk2ouQ8FBXuH8RsH+6aefVgHqQw89pGqbeH4Hx5zXEydOlI4dO6p55rxG4Q3nKs5PNOe110Dh3J43b57qA4l1brzxRlm6dGm1cxvBEs7tgoICdbzsBUZqGMjnkpISadeunTz55JPq8/4Pf/iDqm3iMWgaCFinT5+uris0j//3v/+trosff/xRXTO4TlasWOFV+/Tf//3fKohCEITvmJtvvll9zvk26UOwhD5rr776qmqG3NKPLwMmImp0KNiXl5erD+CKigpVe4EP5JtuukmioqLUBysHHQhs5syZqkCOwiSaVDzwwAOeL6TTTz9dfvvb36rngC/CU045RX05GmlpaZ6CKGr4kP8okBrvvPOOSpPBUu3h/D548KDn/EZeIn9ReDd3c1GI8C3Ek8isWbM85zWa5M2YMcPrvO7fv79n2n5e2/PSfm6jdg8Blf3cRjCFc5vBUuPCdYEaVxSyDx06pFoZoCkebtj8x3/8hzruGCyA10XDe/DBB9W1g2Myf/58dT2gVslcYzgWgOsI63366adq2sC1eckll6hrx9Sg2wdvwmcevqPwPR4OwRIwYCKiJoUPWtRuvPDCC6ppBgo7KODgDiT7LjgzfZgQbOIunm+A+cQTT6gvPXxRoVD4xRdf6CXV+TbJgP/3//6fusuI5hRUd+b8zs7OVrV6OC44r5966ilPjR9VMX2YENRMmDCh2oh2yD/TXAi1dZ9//rle4h+a9fn605/+pM7tCy64ICwKci0Rzn18xqP2Asccn2cInp555hl1c4EalunDhOvs3nvvVTdwcN0BvoNRC2iuMQRLgYJYf98f//Vf/yU//PCDusbCBQMmImoyuOt79913i8vlUv2Wvv/+e3XXGM9/9atfVburRdXhCy0pKUlycnI8X2r4Ely7dq0qgGAegiq0M68NfIGilgrHx37nkIKH8xvD599///1+z297jR95u/rqq9V5/fLLL3vOa9y1XrdunRw9elTNw3mO/nW1hVoMnNvo52cf8p0aB64L5P3kyZPlzDPP9Pu5H6iATqGD62zYsGGyfv16FTCZaww1gObGRV1uLOTm5srAgQNVU7+vv/5az23ZGDARUZPBCFio8keTDDsU0NFOOpzuTjWklJQU1V4cX26AO7Toy2H4TgcLtSD4osRQ2CzA1B7616DJC85ve4HDnN+svQsM5zWazeG8xvkXqvMaULuBGlgEs+bOOjUODBiA6wIBsf26QCBlPvdrW0CnukMfMjS9Nk3jcU2Zz3vUhtunawM162jOhxuiqM1q6RgwEVGTQIdtDPiADtqAttOjRo1SA0IgiMIXKh5Us2uuuUbdKdyyZYv6YsN0165d1V1bFDzwxYXp2sIxQXMZBGM4XhQ8dJbG+Y1meDgG5vxGe36c3wiWeH4HhjvU5rw20ziP8dtWyFP03bv00kvVstoy5zYCMpzbvCHQOHBdoNkdRow0fWYw6lrfvn3VdYEaQ14XjWvAgAHqOtu6davqv4RrDA/cUEBfpc6dO9cpgMWxxfd7UVGRusZa+o2JCOtDIjSfEsjME7v0BEHMoN7q75YtbM5CTWPQIPfw3Dt3ui9RqjurnGsVqpiXTSU2VqwvXJHSUrG+yPVManDM9/qx4gDB4GE7dogVIOiZREHo109k2zaRdu30DBJp317khx9Evv9e5LTT9MzGwY8/IiIiIiIiBwyYiIiIiIiIHIS0SV5Mb7YBJiIiIiKi0CrZ015OPckmeURERERERM1KSGuYKr8q0xMEwxOi1d9dW3arv0SNzQw8woEK6o+DPjQtDj7QNJjv9cNBH6iuOOiDHxz0gYiIiIiIqPlhwEREREREROSAARMREREREZEDBkxEREREREQOGDARERERERE5CM+AqegP0nnaNj1Bvgpc4yS9Qk9QSDRFnjbH4/j6669LRESELF68WM/xb/To0WrdmmCdNm3aSEJCgnz77bd6bpWallMV5lXo5OXlyZgxY8R3kNm9e/fK+eefL3fffXe1Zf4gnbZt2zqub5Y//vjjQaXXWpl8uu666+TEiRN6LjUlHJNTTjlFHZNvvvlGz/Xv448/lu7duzuua1/+9ddf67nUmPLz8+XUU0+Va6+9Vr766is9t3UJs4DpiKxI7CadR6wVef+wfKjnNlfly8ZJRIfGLvRWStn7++SfQW6zwBUj8csq9VRLUywTOzTG/gfOU+RhhLUfnkfCainXy+qudsexoeELLTIyUm688UY1/cADD6jp48ePq2k7BFOrVq2StLQ0x4I70ouKilLr4At06NChkpmZqZfWvJyq+ObVsGHDVF6xAF573333nQwePFid55WVlWraPj8lJUUFTQhMETjt3u3/JyVwTKKjo2Xt2rUqnbffflsdo48++shr+Q033CC//PKLzJw502s5uZl8WrJkiSrEJSUlyXPPPcdzuwnhmCC4eeKJJ+TLL79U5/Dzzz+vzmN/cOyuuuoqefHFF9XxO+ecc+SVV17xHEPf5eeee65s2LDBMT0KrU8++UR+/etfq+/tzz77TG666SZZsWKF/Iyx8luZsAqYtkwbLAdnlsm2uT31nOasWBbNFomL3SdTlxbreS2fCg5cTfN+qm87XjJO7JLiyZ30dNOJm79eTlr7cvLEekmTxRIdkqCp+bjoooukoqJCfcnhsWfPHnWnF3/tUJhEIRGFmkDmzJkj8fHxUlRUJGeccYbMmDFDPYyallMV37yaPn26yivUBFLt3HfffTJlyhRZtGiRCoqMrVu3yuHDh2Xbtm1y8cUXy8qVK1Xh7u9//7vfwjuul4MHD6obBx07dpR169ZJu3bt5NNPP/Vabr+ecHMBf/2l11o99NBDEhcXJ4WFhdKhQwee283Aww8/LP/5n/+pjsmZZ54p06ZNU8fEfr0Y77zzjvouQO1FTEyMOn64tp566in1/eG0/Omnn2ZNYiPB8ezbt69s2rRJzjrrLJk6dao6nqjRbW3CKmAatKRM5g3WE81d4VbJjB0s2bOSRbK2SoGeDah58qoVqVgt8T4FbN/mWJ5aDK+AoVLSEzDfoRarcK56zcRCPR2EAtdc9776eS32YViW9STL5b0M++9Qs2LSU/uvlwfahuH7fp227b/ZmrvmyV++1GXbtdNJXDjmPpzSDGZ/3HCsG7u2svZQy3H77bfLhRdeqOdUhzuUH3zwgbhc1rH0U/CpaTlVYV6FFgIh1C75y8uuXbuqQrvRo0cP2bhxI5s/NhBzbiOA5bndPJhjcv/99/sNkHyhxvSnn36SCy64wHMMu3XrJkeOHFEBkb/lqL3CclxXvHnQsFC7hOOJG0WtMUDyFVYBU0tSkJcrccn9JSpxlKTF5soGW0EYTS9Kcrd7govyTUVSUlokeaYwbAUgjyI4UNyF/w1JqL3YJfliFYwQeKgg5Y8iGZj/Z5Gl3sFKZopVOM8bKCf3zpD91vPgmq2hGViuDEPB3s9rh6Zb2x9rPRmbrvYlI1EHAhNFslG7kiEy2qvQj/TK5VErqHu0+3rJv/ywHKxhG07vN9rPtv01W3MHJlvlFuzPifHyz57WtCdIqdu2fYPAmuDYy+WdJUpNBUqzpv0xkMZwWZf8Z3FF6llNDF90KDz26tVLz3H3ocH81NRUPcc/fEgD7qbjSxdflPZ+NzUtpyomr9A0jHnVsFDDVJe73qh1HTJkiEyYMEF69vTfOgJNW831ZAqOrZ2pjcPnAPrKIF/Yh6lp2Y8JakzNMXHqw1RWViZdunTxutGAGlo0y8Nr/S1HjSyWU8Ozf9ei/xKOCfswUeNSAU8PGTEETcU6SVJyD8lcaCt4Jw6UVE+AVCkoX6Pp3rpN7oKyCqBiB0uSKhy7m525AwQraJkyQ+I8r42SbmqdTuJKH6kL6G6pOVYBPT1eJHKkZM/v4RWg1STo16r3mSz5m/W29fqZefZalH0iyetVs7mh6Q/JUD3XeRuB3m8NdL6n7TXbsdKygpC4rOVeNTMNse2S2cPdNUjWAzVhqUlW+krNaQbObwRLLtk/352HzQHuMqLafvLkyerLDdDHIz09Xc1Hs7CaHDp0SN566y3VThqFe3xQ4y6XuaNY03Kqgrzavn0786oBDRw4UNUwderUSeUvHmi2EqifhRkgAkHQ559/LgUFBX4DWXM9TZo0yXM9kZv5HPjxxx9V3uEuOGo32L+l6ZjPmx9++EEdEwSzOCatsc9LOMCNIBzP//mf/1HH87TTTlMtFlDz19owYGoCKuAZO95TGxA1ZLBPITlebhlrAqSj8s/SKHlkVrKnoHzwwD537ZRaF9y1FKpA3nOxlGCWVbh+ZKyuneigm3U5QI1WXQV8bcVha1/MPrgf0bOtAMnHFVGBC/rVt+Hn/QZD7Y8JIrXIznKFfupPqLZd1YfJeuiaoqqatuDT9N2fzBSXZMbOkOxmEiwhMBo1apTqM4MCo5GRkaEKe+gAHIzLLrtM5s2bpwqep59+uvqAxoc2Co/BLKcq/vKquLiYeRVCyFf0EUNBHYEoHugkfckllzjeIEBtEjpRY13UIB09erTaYBy4njCiJPrpsG9OdebcRu2pObdLSkp4bjchHJO5c+eq4BXHBE0m//GPf/gdAIiaP9wIsh9PBL87duxQx7O13XRjwNToUGNkBQ26r01VIbmqBgmGJukACX2dxg6UoZ5ap2LZ4Kmdsqimd8vlN3urCuNx7iWqiRzmHZxfbgUtTdW/JVnyTaBgHqgtqasA77fBhWrbkf1lRKzI/nLreNczzdQcPYhEnfpThRYKd7fccotqUpGdna3nuu3bt091cEeBDw/0A3njjTfUhzGq++1M/ybTHMBXTcupCvOq6eCcRz+mYGCQB9xkeO+99/Qc9/WUnJyslqHvFIMlb+jXAji3W1vBrbmq7TGx91cytmzZogrmuNFQ03JeEw2L3x/eGDA1tsIXZGpp9SDiIJpazX6hqiZIB0ijF+bq5lu61mnicjVYhLs5nsW31kRNe4uaPF4C9xoJnejutgIC3oN498+qtwDv12vb/vjZn/JlPvkZSBB5HZSK7bKuVNes1TvNTuLanC6pVgAeXD+0hvP73/9e/cUIRr4QQOEL1Dxee+011bYd1f1okoS76Oa3m/BFiDbraMJnvnRzcnKkf//+qvBY03Kq4pRXKJwzrxoOhlRGjecdd9zhKdThd5twjuM4oDkeRtQzxwTTGAnsyiuvVNOAZpOosXryySdZMPTDnNtLly71OrdRG8dzu2nYj4lpFvnyyy9Lv379PM1Jx40bp35XDMtNn7w1a9aoadwkwEAp6NOHtPwtx2htWI7tUMNCYIp8xmeQaVKJ44lREHE8W9vnUlgFTFumdZPOZ3eTAQ/tFdn5mAywnndOzG5Wv8ekOvyjxkhPG+6gxl6YdwdIJaU95De6MK1qnUp9muPpQSM8zd7yxB0cbXKPquZ+uCTT1gSwIanmhbr2LH5ZZ9VHCM3PqvbF36AFteD0fi3e2/a3jXjJyEl2D3ihXx89O6qqj1VNAmy7JvY+TKhRvCJH91uqR5pV3H2xxNqG8yh6DQsFPvxQIWqN8EWHD1I8ghlgAF+CqN7HHXnAh/TChQtVAdIMVHDs2DE11Cye17ScqjCvQgtBD/IRzeM2b96sChMI/BH8nHfeeSpP8cBNAww1jtpW8D3Hced2/PjxnmOCguH111/vaXZnAihcTxia2aTLQQ2qmHMbfb/QXAj5g2aNKNwhX6nx4ZgsWLBABTVmIA7UECGAwjHCdYCBf3AdIMhFYIubC/jpAyzHdwf69WEochxDf8txnZnl1LBwPOfPn6+aG5tBPHCTE6Pd4vi2NhHWSeu+NVNfVkZWflWmJwiGJ0Srv7u2+P/xQqKGFjOot/q7c6e6RKke+vQR60ueedlUYmNFcNO6tFSswpKeSQ2O+V4/ffuK4Ob8jh1iFfr1TKIg9Osnsm2bWMGKnkEi7duL/PCDyPffi5x2mp7ZOPjxR0RERERE5IABExERERERkYOQNsmL6R2apIiIiIiIiIySPe3l1JNskkdERERERNSscNCHBsRBH6ipcdCH0OGgD02Lgw80DeZ7/XDQB6orDvrgBwd9ICIiIiIian4YMBERERERETlgwEREREREROSAARMREREREZEDBkxEREREREQOGDBRgytwjZP0Cj3RQoXDeyAiIiKi2gu/gKnoD9L57G4y/JkjegbVRoErRiI62B9zpUAvq5tKKXt/n/yzEYKNavuesFrK9bL6abz30FqMHj1aXn/9dT3lDOu0adNGEhIS5Ntvv9VzvY0ZMyaotIhCCefda6+9JvZf5sjLy1Pn6+OPP+413wnWb9u2rdx9991+169pOXnn0S8Y/5yajXHjxsmrr75a47n78ccfS/fu3eW6666Tb775Rs+tYl/+9ddf67nU2MaPH6+OZ2u9zsIoYNomc6xAqfOItWpq90ODrcDpD7JFTVFtxM1fLydP7HI/ckSGWcFH/LJKvbR5q9r39ZImiyU6ZEETBfLdd9+poCYiIsLziIyMlOPHj+s1qixevFhWrVolaWlpjkEQviCjoqLUOvgCHTp0qGRmZuqlVZBWdnZ2wLRaMxyXwYMHB3VcKHhPPPGE5xxGHuN8jY6OlhtuuEEVDmfOnKnO348++ki/wptZf+3atVJZWSlvv/221/o1LSfvPDp69KjKI0wzj5qHJUuWqGskPT1dTpw4oedWh/WuuuoqefHFFyUpKUnOOecceeWVVzxBlu/yc889VzZs2MDguJHhs8585vkLaluDMAqYBsi8r8rkqHnseVh6y1opLNKLqW4SH7KCpmQpmf1HryZpntocV7GeA5WSnoD5Ds3XCueq10ws1NN2Fasl3qFWqMCla7kCvb6aTuKalayfV/G/37XdBt4nm+j5Y+6441FRUSEdO3bUS9z27t2rCjjPPfecnuPfnDlzJD4+XoqKiuSMM86QGTNmqIcd0lq3bl2NaZF47vI6HRcKnjmHMzIyVG0SXHTRRXLw4EFPHu/Zs0cF8PiLaV9mfRRAcCxwHrdr104+/fRTx+WnnnqqfPLJJ2o5eefRxRdfLC+99JInj/zlOTWed955R52zy5YtU7V/TrAePr/z8/MlJiZGpk+fLosWLZKnnnpKBVlOy59++umAQRiFljmeOC6nnHKKntv6sA8T1SxxlKTF7pN1m1DLVCwTrYBiQ5K7BipfXO4gRwU8fxTJwPw/iyz1DnwyU6wgJW+gnNw7Q/Zbz+01ViqImSiSjZqhDJHRXgELmsPlqloup9c7KcjLFbm8s0SpKYf9Vstqsw2kM1zWJf9ZXJF6FgUNd6duv/12ufDCC/Wc6nDn+IMPPhCXyzpGERF6bnW4czlixIiAaRGFmjnvUGAnouqWLl0qt956a43XCGoDf/rpJ7ngggs8n/XdunWTI0eOqIDI33I0zcNy3JBgYNw4nnzySUlOTlY3bwJ9J4e78A2Yystlt9wuiYP1NIVIvGRYAUdGontq6JQZEldaJHmqtiVKuqkgopO40kfqQMUtNccKVNLjRSJHSvb8HlKSu90drFiB1qNZyZK/Wa+vl2fmedcAOb7eR8ns4e4aJOsxLMt6XZL1GiXQfrvVvA0ESy7ZP3+9FE/upOeR3Y033qg+UNFsAnfX7dDPCF+Aqampeo5/5i46Xo87+EjPtw8T0jp27FiNaZHbTTfd5HhcKHjoL2PO4UAFBzR57NChg/Tq1avGAgZqrIYMGSITJkyQnj176rlVzHL0H0B6VB3ugCcmJnryqKY8p4aDawSfzffcc4+nBtZJWVmZdOnSRV0rBmoL0SwPx9DfchTasZwaB2r3cDzx+RSotrA1CNOAaZvMGbFWes+dIIP0HAold22NCkx6LpYSzLKCjEfG6lqaGgaKQFt8j4rD1uvN69yP6Nn79EL/vF7vw6v/la4pqqqt8rPfDvxtIzPFJZmxMySbwVI1p59+umzevNnTJAlN6nr37q2a6AH6eeDO/NSpU1UTu5ocOnRI3nrrLfn5559VoIQvz/vuu0+lXdu0WjMcFzRrNMfloYceUk1bzHGh4OG8Qw3plClTVL46QQ0pzs1JkyYFbPqIQOj8889XBfzPP/9cCgoKvG4K1LSc3IES8giBJvOo6eEaQe0SPqvtQQ61TOZ4Tp48mcfTEoYB0xFZkThB/jrmeVl/bxc9j+qlYrusK+0hI4ZYgYJqerdcfrO3KiiJ06sNTXfPOzi/3AqAatPHJ1nyTZBjHqjpqa/I/jIiVmR/eWXA/Q5Wao4eSMKn/xNVh/5GGLUqJydHTaO/BwqP6BQfjMsuu0zmzZunAiUUTtE8b/v27aowatJCB2CqHfQBMMcFARQFD4OOmHPYqQYDBQzkb1xcnLoGAtV0oJD/2WefqeOAGikMXIBtmONS03ISufrqq5lHzQj6G6EZHj6bA5371DI8//zzqsk7jmdNtYWtQZjlAIKlwfKny5+Xo0sG6HlUP8UyEbUxY8e7++yoGiHT9M5Me4uaPF6CbiiVONBaN1c2BDWQQy2pQE/kiigEejXvd806iWtzuqRmuVrMqIHNxb59+1TnbHyJ4oGme2+88YZ07dq1WhMx0yfJqYO7Scs01wuUFlGo4Lx74YUXPOcdAifUquK82717twqWhg8froKqlStX1qrAiEImBjl577339BxvNS0ndx71799f5REDpqaBvMc1goEBzDWCGm6MzLlr165qx8XeX8nYsmWLukmG1gM1La/NNUa1Z44nBqRBXiNwKiwsVKNRlpaWtrrrLKwCpi3TrGBJHpZtDJbqxd4PKKKDS8T07QE1AIStCV2euIOjTe7R5cxrMk2AVaN4ydBN56peX/dhzL323Qr0rrD2XfVbctrvWnPvr1jbCW60vtYJzYnQ9vm2225T0xj6Gx+u5oEmYfhNjcOHD6smR/hdJgwRDvgiRPU/mt2ZD2TUiKAwhEJRTWmRMxwX9DFISUlhYaOWEARhKGNz3qEfHfrW4bxD81PTZBQjSfnLW/xuE85xrIPjsG3bNvUczPVy5ZVXeqYDLSd3czx7HmEa5/YVV1zBc7uJrFixQjWjxjHBA9cIftYAI3OiKTCOC36bCb9ThmvJ9Ddbs2aNmsZNh40bN6o+e/ge8Ld806ZNajmbiDW85cuXex1PXF/oK4jRKWNjY1vddRZhZYL706a+rIyr/KpMTzSBw9kyvNdjsltPevSxAqjC0XKpnmxMwxOi1d9dW6rtFVGjiBnUW/3duVNdog0GBTp8MX755Zd6jqgvRd+hwA18kaI/yPr169WHrrkzj2AIkB4+mL/44gs1jYAI6/rrs2RPy9/yUOnTR6wvjYbPy1DyzUfAsLw1NRdrjqzvZ6vQJFJaKtIcWoeg8IDzLjc3V8rLy1UhDv1o7K699lp1XqJWCqNMIeBH4IXa0wEDBqjXGaNGjVLnP44Lmp4GWt6Ymlu+G055hPxtTs2H+vYVq9ApsmOHSGvrM49rBDe+MOT7mWeeqQIejJ6HUe+ysrLUIAJY5+abb1YFc7jrrrvUMTQDDNS0PJz16yeybZtIu3Z6RhPDTRscTwSwZ599tp7byNq3F/nhB5Hvvxc57TQ9s3GET8DUDDFgoqbWWAFTa9ASA6Zw0lwL7uGO+V4/rTlgovppbgFTs9CEARM//oiIiIiIiBwwYCIiIiIiInLAgImIiIiIiMhBSPswxfQOTVJERERERERGyZ72cupJDvoQdjjoAzU1DvoQOhz0oWlx8IGmwXyvHw76QHXFQR/84KAPREREREREzQ8DJiIiIiIiIgcMmIiIiIiIiBwwYCIiIiIiInLAgImIiIiIiMgBAybyq8A1TtIr9AT5xTwiIiIiCn/hFzAV/UE6n91NOk/bpmeQk/Jl4ySig79Cf6WUvb9P/tngwUCxTOwQI/HLKvV0TWq7vluBK8Z6n7ZHwmop18vqrrHyKDyNHj1aXn/9dT1FjWXMmDHM9xBBXr722mti/2WOjz/+WKKjoyUhIUFOnDih5zrbu3evnH/++XL33Xd7pWPk5eVJ27Zt5fHHH/e7nKg5GzdunLz66qv1PndxXXXv3l2uu+46+frrr/VcosYVRgHTNpmDQCl/sBz96nm5c+UEK3D6g2zRS8lXsSyaLRIXu0+mLi3W8xpbvGSc2CXFkzvp6ZrUdv0qcfPXy0nrtSdPrJc0WSzRIQmayPjuu+9UITEiIsLziIyMlOPHj+s1qixevFhWrVolaWlp8u233+q5VVCIPO+887zSwgPpY31sa/DgwV7LnLZFVZ544omA+U7Bs+clzkczr0ePHrJmzRoZNmyYnHXWWY6FRbwmMTFRUlJS1Pnepk0bFTjt3u3+zT4TeN1www3yyy+/yMyZMyUqKko++ugjtZyq8hB5Z/8cYB41D0uWLFHXSHp6uuPNAxzDIUOGeB3Dyy67TCorq26KIp2rrrpKXnzxRUlKSpJzzz1XNmzYoK4Lalg4Ptdff726aWM/PkePHm2VN3DCKGAaIPO+KpOjSwa4n+95WHpLmRw+7F5KPgq3SmbsYMmelSyStVUK9OxqCueqWpmJhXraghob+zSgtso9r1LSE1CT41tz5X++b7O2Atdc97742S74awbnqUFyBRP4dRIX3rMPpzRq2p8qeH/+autaF3PHHY+Kigrp2LGjXuKGwuHatWvlueee03Oq69mzp3z++eeedFC4R7A0dOhQOeOMM/RaNW+Lqph8z8jIUF96VHf2vERBz8zLzMyUTZs2Se/evWX69OmqVujJJ5/0G5xu3bpVDh06JNu2bZOLL75YVq5cqQqDf//739X5fNFFF8nBgwc95/eePXtUOviLaaryyiuvqMKz+RxAflLTeuedd2TdunWybNkyVdiuiQmAcAxxXXTq5L4pinTwXZGfny8xMTHqulq0aJE8/fTTQdXgUmjk5ubKzz//7Dk+nTt3bpXfI+zD1EoV5OVKXHJ/iUocJWmxubLBTyCQmWIFEHkD5eSJdBE818FEdPcekrnQXkPjrq36jayW+A5/FMlATc6fRZbqdSoc5ldr1obpXBmGwAXb3TtD9lvbrWqC57u+u4nehiSku0vyxRVUczu8d7m8s0SpqUBp1LQ/BtIYLuuS/yyuSD2L/MId+dtvv10uvPBCPadmKETiQ3rkyJF6DtUW7vKOGDFCFcSpfvzlJWo3f/rpJ7ngggv0HFFNiA4fPuxYm9e1a1evGwCondq4cSNr/6jFW7p0qdx66631/rxBbaG5rkwBHdfVkSNH1HXCmwfUmMIzYDqcLcN7PSYyd6GM66rnURUrgHk0q4eMGIK7OJ0kKdk3AHJLzbGCiPR461m8ZORU1URFTR4vqaVFkmcCF11blaSChSjppv52Elf6SB2UgNP86jzbjRwp2fN7SEnudocgyN1ELyPRPTV0ygyJs++XTcns4e4aJOsxLMvaRhLeF9ScRuD9QbDkkv3z19epqWC4ufHGG9UXG5pN4G64HfrO4AswNTVVzwlOTk6O9O/fv9qXb6BtUZW65jtVhz5FJi/td1gPHDigAqAOHTroOaJqPM855xw9VV2gYMoXAjKk3atXr1Z5ZzeQm2++WdX04XMATRpZiG5auEaOHTsm99xzj6cGtia33HKL5xju3LnTcwzLysqkS5cutbquKPSSk5NVTSGOT2lpaau9xsIrYEKghH5MVrCEluC71/9dPnQvIZvyTUVSMna8pzYkashgx0DDI7KrxFlhQplaJ15uGVvV98lTW2UFFI+M1TUyHXRTNnCaHwS02w/MXUOkgqGei6VEz/VV1YfJeuiaoqrmdcGlAb77k5nisoLFGZLdyoOl008/XTZv3qw+SPGYM2eOapqEZnOAttC4Mz916lSvu+o1QVOnf/zjH+JyuTwFRWyrqKjIcVtUxeT7lClTapXvVB3yEjWkyEucg/UxcOBA1RcATY9wXuMxY8YMv/0y0J8J182kSZPY7NQGx6CwsNDTlOuhhx6S2NjYagNxUOPBNYLapfvuu88ryHGCY4hmrOYYPvzww9KvX7+QDBRB9Yfjg1pv0xzvkUcekfj4+Fbbhyy8Aqauo2U9+jGpx/Ny587HZNozR/RCcquUvNx9IllWAdQrSNgn6zYFP/rc0CRd4+RVW2XNT3cHJQfnl1sBUlWfHqf59aKa+i2X3+ytCoTi9KKAIvvLiFiR/eXW+61rGlpqjh5EIqj+U60HCn8Y+Qu1Q4D+HijsoRN7baCw37dvX9WvyQm2hVH3sC1+yXpDv5q65DtVZ8/L+tby+Bb28cBgKJdccolXYIsCKM7tuLg4dZ6zdskZ+rfgM+fll1/m50ATQX8jtARAf7y6nKvTpk1TxxB9Zlpjgby5w40bHB8GTGFngCSOEdldxoDJS+ELMrU0WfIRHNgeB9HUbPYLXrU/9mZ6qlbK0+zOovs+PTrRu7bKUM329HM7p/l1UnHYCvRMUz8zHYSK7bKuVOSKKCvIq2saHp3EtTldUq0AtLbDnbcm+/btUyMmmbvpaE73xhtvqGZMTs3pcGd9+/btctttt7GgWEfI9xdeeMEzChXyHTWBgfKd/PPNSwROJi8R2KCJnb0j+pYtW9Rd9mBr9pA++jEZSBNNYVAAxaAQvAaouXvvvffUNXLKKad4rhG0BsDohbt2WWWNWgay3bp1U/2VfK8r3HDAdcVrghpT+ARMh7NlRZF+Dtb00pUivbt10TMI1IAHYwfKUD1tuAMZ++APPSQt+bBE61qo6NkiaRn2vkfuvk8lpfuq+gPpkeTcD5dkmkDKaX596aDN3dTPeuSJYzBm78OEGrUrcnS/pVqk4SxeMvbOELG24TyKXuuCpnQY2QjBDmRnZ3vupOOBZjP4TQ0UMtEvA3fRcYfd7m9/+5tceumlqvlSINgW2s1jiGZ+gXpDQdtei4F8x4iDJt8peL55ib5hJi/RXwPn3urVq9UyBDtoyoIhk03AhN9twjmO5b4wJDluDtxxxx2ecxjNmrA9jLTH87pmGFENnwMYbID51TRWrFjhab5lrhH8BARGL8Qodzgu+G0mjCDpr4YCxxDfG7hRgBsTps8ehurH+riu0IQP11UwTf4otMzxGT58eND908JJhHVSh6bu2jqpK78q0xNNAb/DNEH+qqeUMc/rYcabxvCEaPV31xb3b2uEHQRCKSL5Jx6qFoBR8xAzqLf6u3OnukQbDIIWfDF++eWXeo6oL0U0I/IHX6ToD7J+/Xr1hYgPYDR3QmAFqF367W9/K/fee2+1NLAt/P7KF198oecE3lao9OkjViGg4fOyISHf0cwRTV5aWp+m2FixCk0ipaVifVnrmU0IhXOcwyYvMY0aPPOVOmrUKHU+4/z2rS1CwQOFPgyfD+jPZIYYB5zj9uXGtddeq66ZxiwsNrd8N5CH+Byw59HChQvlgQceUHneXPTtK1YQIbJjh0gQI2yHFVwT+Lx56aWX5Mwzz1TXAQJajHqXlZWlaqTwOz+ffvqpfoXIggUL1DE0BXKkgYE9EIjBXXfdpa6hYIYrb+n69bNKtttE2rXTMxoZrjH8nMcnn3yi54jMnz9fHZ8my//27UV++EHk++9FTjtNz2wcYRQwNT/hHTBxdLiWoLECptYgHAKmlqy5FtzDHfO9flpzwET109QBU7PUhAETP/6ojtzDcTNYIiIiIqJwxoCJiIiIiIjIAQMmIiIiIiIiByHtwxTTOzRJERERERERGSV72supJ9mHiYiIiIiIqFnhKHkNKOyHFadmj6PkhQ5HyWtaHK2taTDf64ej5FFdcZQ8PzhKHhERERERUfPDgImIiIiIiMgBAyYiIiIiIiIHDJiIiIiIiIgcMGAiIiIiIiJywICJqI4KXOMkvUJPEBEREVFYCtuAacu0bjKnSE+Ql/Jl4yQiYbWU62mlYrXEd4iRiYV62iicW33dFqbAFSMR1nvzPELyfiql7P198k8GTNW8/vrr0qZNG0lISJBvv/1Wz3UzyxYvXqznOPv4448lKirKbzpGoG2RN+TV6NGjJVS/JEHOxowZI6+99lpQeZ2Xl6fW97culrVt21buvvtuHrcATB7+gvHPqVnAMRk7dqz8jDHVa4DP+u7du8t1110n33zzjZ5bxb7866+/1nOpMeXn56vj+dNPP+k5rU9YBkwfPnO7jF4p8tdF2fKhnkdVooYMlrjSIsmzF/YrDkuJ9Sczr9g9rRXk5Upccn+J0tMtVdz89XLyxC7rsV7SZLFEt/AgsDnCl1pkZKSkpaWpL72hQ4dKZmamZxmCnxtvvFEV/B544AG17vHjx9VyXwiorrzySlm3bp1Kp0OHDqoAapj0/G2LvH333XcyePBglfcfffSRmqba27t3r5x//vkSERHh9UAhzh6sP/HEE7Jq1Sp1bgYK4nEcEhMT1XGprKz0Whfnd3R0tKxdu1Yte/vtt9X5juNHVXzzkOd208MxGDJkiDomR48erfGYLFmyRK666ip58cUXJSkpSc455xx55ZVXPDcIfJefe+65smHDBgbHjQTH7/rrr1fH88iRIwE/08Jd+AVMh7Nl2kPdJHvd7XoGVRPZX0bEeteOqMAotodI1lYp0PNEimVDlsgVUZ30tEXXRDnV0vjW5sQvq/Se7/IOyMDpNUqA7RW45rr3FbVg1jrVasf86iSuWcn6eRWn/Qt+G5WSntC6m+jNnj1b+vfvL5s3b5YzzjhDZsyYoR5w0UUXSXl5ufoSxGPPnj1y4sQJ9dcXCqbPPfecFBYWSq9evVQajz/+uKSnp3s+rOfMmSPx8fFSVFRUbVvk7b777hOXy6XykOquZ8+e8tlnn3nOYZyLqNlEsH766aerdXDuIsjJyMhQNZ+B4Ljcf//9smjRomrr4no5ePCgCrw6duyobhyceuqp8sknn+g1CJB/TnlITWPKlCny+9//Xn3e1HRM3nnnHfVZj9qLmJgYmT59ujqWTz31lPp+cFr+9NNPq+XU8PDdMXnyZJXvp5xyip7bOoXdJ8yWpY+JzJ0gg/Q0+dNJul1ur01C87IeMiJjvKRKrmwwQUHhVsmUZLkl0T2pgoqJItmoqckQGe0VQBTLRGv60e7umpz8se5aneLJR9X8DUmo3bHmi8sW/Di9xh2gBd4e9jlXhlnzIvIGysm9M2R/ik+w5QDBoVzeWdeauffB//4Fuw2kMVzWJf9ZXJF6ViuDO+IffPCBTJ06Vc+pO9xF//HHH+XCCy/Uc0Q1xzh8+LAqpJpt4YMcd/gpsJUrV8oNN9zAvAqxrVu3qnNy5MiRnrxFUD9ixAgV8NQExwV3bXlc6i4rK4t52MysWLFCbrrppqCOCT7r0cTrggsu8KzfrVs3VZOBgMjfcnwXmJoOUwtFDWf58uXqePKGRLgFTEV/kNHvPyxL7u2iZ5CToUnJVbVJFdtlnQyWpMh4ucUKWvaXuwMC1AjI2IEyVK2zWh7NSpb8zSPdgUbkSMme36Mq6Ko4Kvut4OoRHewg/ZLc7VbgES8ZViCSoYOuoVNmVDUHdHwNltWwPS01xwp00uM9yz2v91Eye7inBmtYlvW6JOs1SoD90wJvA8GSS/bbAr3WyNz53r17t/piwyNQvyJ8EaKZHWqQfB04cEC6du2qao6Miy++WDXFALMt1E7hQ7ymbRE1hJdeeknVcqIGCNBnA+d1amqqp3AXCqi1QhOn8ePH+71eiFqqsrIy6dKli/ouMPBZj2Z5uIb8Lcf1huVEjS2MAqYjsmLRWrlz5mi5VM+hABIHemqTyjcVSYmucakKWiolL3dfVWCh+jjp2hb9iJ69z70MIjvLFdarynSg4a8WR72u52LVV0oJ9JqatucH2vg7qerDZD10TZFv7Vi1/fPDdxuZKS7JjJ0h2a04WDIOHTokb731lqe5Er7w0OzIF2qIUBOFan5T2Kwtsy10KLZvi3ccqTEgiPnHP/7hqeVEO3/0WUJzJNM8r75MnykESZ9//rkUFBTwpgARURMJm4Dpw2dmyZ8uf17mDdYzqAZVtUkHD9gCo8iu7hqWwu2yrrSqOZ5bsuSboMM8UPMCqrZIZN1Ed+AxTNLdy1QfpOXym716fStYiXO/wvk1HgG2Vx+qD5euSQu0f0FIzdGDSPjpm9XaXHbZZTJ//nz1HIVGFCa3b9/uNbADCpYY8Qt35uvT5wjbmjdvniqs2reFYIyooaHpXd++fVW/JsCAIwj+Q9n00d5nCtcQOtBjO7wpQETU+MImYDpctldk5QTpfHY392PEWpGdj8mAs2+XFYf1SuTFXZv0R3k0q4f8xvS90QNCrFtYJCWmOR7YaqT8UjVCUfLIZp/ARs/vZtLXo/EpTq+BmrZXH2iCWKoHswi0f0HpJK7N6ZKa5Qqq/1S4Mv2NAnVKR7A0fPhwVbDMzs7Wc6uz91cy3nzzTdVED49gtkXUUBCUFxcXS0pKip4jsm/fPnnhhRc8TUQROGHwEwT2aKZaX+gThZsM7733np5D1PLZ+ysZW7ZsUTfB8Flf0/JQ3ZwgCkbYBEyDlpTJ0a9sD4yS1+dh2fbVWhnXVa9E3hCUlO6Tklj0X9LzrAAgKbmHlFjzq/r5QLxk6KZspokcHp4gQQc49iZ0eEyUUZIWa5ufJ9Z6mtNrVJBUw/Zqyd6HCc3ursjR/ZYSA+xf0Nz7KtY2nEfRC2/48kI7czRLMtDHA6PmmWZ3GDkJd8cxApIv/D6Q+W2m3r17qy/C1atXq2kEWhs3blSjkZmgCdvCXX5ztz0nJ0dtK5jO9kT1gfPy0ksvlWuuucZTYMMADhjmGOcjHvjNK/SrQ9NRnM+A3wnCOR5MDRGa423bts2zLqYxUhiG2idqycaNG6dG0MP1guamuIbWrFmjps1nPfrs4XPe3/JNmzap5fZ+TUSNIcL6QA5N/b51UldagUqzUfQH6bwoSrYVNl2fpuEJ0ervri31v8PY3OHHcKMPjPeqJcIodxgBz2kwhLq8hmonZpC7sLZzp7pEGxQKdfi9ny+//FJN4/dp1q9fr774sAy/l/LFF1+oZQbWwe9r3HXXXaqzr6l5QoETI/OYjyc040Oh1BRQfdOzb6uh9Okj1v40Tl6GEgrqq1at8iqoN0Z+hVpsrFiFJpHSUpGmGrAJtUsDBgyQiRMnqial5nz0hQEgcPPg5ZdfVgU7FPSSk5NVQG/OY3/H5dprr1XH5d///rfajhp4Rxs1apS6Ppy22VCaQ747GTt2rMoTf3nYXArUffuK4Ldbd+wQadtWzwxjCIhwTOy/k4Rjkpubq36E+dZbb1Wj3mGEQ0zjWrn55ps9P3CL7wJcI1gGNS0PZ/36iWzbJtKunZ7RBDDYjLkhZAwaNEh9tp199tl6TiNq317khx9Evv9e5LTT9MzGEb4BUzPQ6gKm2fvUiHKouUHgMyyrh6TtXeE41HZdXkO105gBU7hrqQFTuGjOBfdwxnyvn9YWMFHoNIeAqdlpwoCJH38UElGTV6h+SLfkuZu2uX/XKHDgU5fXEBERERE1JgZMFFJD090DOJjfNQpGXV5DRERERNQYQtokL6Z3aJIiIiIiIiIySva0l1NPskkeERERERFRs8JBHxpQaxr0gZonDvoQOhz0oWlx8IGmwXyvHw76QHXFQR/84KAPREREREREzQ8DJiIiIiIiIgcMmIiIiIiIiBwwYCIiIiIiInLAgImIiIiIiMgBAyaiAApc4yS9Qk8QERERUavDgIn8qJT0hBiJX1appw33/ImFetJRsUzs4O/19VO+bJxEJKyWcj1tFLhiJMLanufhZ526qZSy9/fJPxkwhczevXvlvPPOk4SEBPn222/13LoJZVrh7vXXX5c2bdrI448/LqH6JYnWbsyYMfLaa6955WdeXp7K57vvvjuofMY5fP7556tz+MSJE3ou1QbyvG3btrJo0SKe280Ejskpp5wiCxculF8wJn0NPv74Y+nevbtcd9118s033+i5VezLv/76az2XGkt+fr6ceuqpsmDBAvkZY+S3UmEUMB2RFYndpPPZ9scfZIteSo0pXjJO7JLiyZ30tA5qXMV6KvTi5q+Xk9Y2T55YL2myWKJDFjRRML777jtV6IuIiPA8IiMj5fjx43oNkdGjR0tKSoq8++67MnXqVDnzzDNVgdMX0ho8eHDAtFBYDSat1g4FjaioKLnxxhtVYXLmzJlq2p6XVHtPPPGErFq1StLS0tT5inyOjo6WdevWybFjx+Ttt99W+fzRRx/pV1SHc/i2225TQRPO4bPPPlteffVVdZxMIGW/BvBAgZGBlZvJ8xtuuEEVymfNmlVjnlPDMoENPm9QsH7wwQfVMamsdL55umTJErnqqqvkxRdflKSkJDnnnHPklVde8QS/vsvPPfdc2bBhQ1CBGNXPJ598Ir/+9a/VNfbjjz/K7Nmz1TV39OjRVnlzIuxqmO5cVyZHvzKPv8ggPZ9Cr8A1VwrwpHCuqtmx1zzZm7IhWBqWZT3JclVbTypWS3ygWiE/aQfWSVyzkvXzKp5aKJ+gLdB7qA41bGyiF4i5445HRUWFdOzYUc3HF+m//vUvycnJUfPwATxq1Cg17SRQWh988IG89NJLnrRwRx9ptcYP8UAuuugiKS8v9+Tjnj17VIF7927+mHZdIZhZu3atZGRkqNokQD4fPHhQsrOz1TmJwKldu3by6aefquW+zPWA9S6++GLP9fDyyy+r5T179pTPPvvMc9xQg4qbCEOHDpUzzjhDrdPamTw3eYTjgnzCuY1panw4JgcOHFDBjDkm//73v9Xnjr9j8s4778hzzz2najBiYmJk+vTpqqbwqaeeUp9TTsuffvpp3jhoBBdeeKH6nLIfz//5n/9xPJ7hjk3yqI7QXC1XhiEIyRsoJ/fOkP0pphmed1O2oem7JH+s9WRsuqoFykh0z1dBzESRbNQMZYiM9glY1PIUkXxr+S15MRI9e59eElhBXq7I5Z0lSk25mwduSELtk7UfYgVtnuAs0HvwhXSGy7rkP4srUs+iWvnyyy/lzTffVM9xVx61HD169FDTtYW0tmxx1x8jLdxVRlq4C0/UkNLT02XEiBGqcFgf5npAwcNcD1deeaVe6m3r1q1y6NAhGTlyJM9xChv43P7pp5/kggsu8JzX3bp1kyNHjqiAyN9y1GBhOYLj1lhop6YTdgHTX0eY5ni3y4rDeiY1mNQcKxBJjxeJHCnZ83tISe724JrCVayWR7OSJX/zSHdgo1+fmadrgNTyHpK29yEZak0i6DpoLXdSMnu4uwbJeqA2KzXJ2ifF3TzQBGlDp8yQuNIiybPVEtX8HhAsuWT//PVezQypOjTFwBcbmk3gLpSBwiWaL6FJGL7wLr30UnUnfsaMGXqN6mqbFu4+UmAogKD5Yu/evfUcqg30zUAepqamOgYuuAs7ZMgQmTBhgqop8secw2iyhCYvOIdxNxfXg790UZsaHx/vqWWl6uznttOxocZljkmvXr38HpOysjLp0qWLdOjQQc8RVeOKZnlY399yXANYTo0PN3VwLJyOZ7gLo4Cpi4wrrGqOt22uyJ96dZM5RXoxNTi0VQ5axWEpEV27ox9eNUhqeZR0C7I2p6oPk/XQNUVVtVXuWia1nZ6LrXSd+XsPmSkuyYydIdkMlhydfvrpsnnzZnXHD485c+aogou9X9E111yj+mDgSxB3150graKiopCkRVXQDAx9ZSZNmlTv2pHWCLVACHKmTJmizlFfCJTQ7wiFic8//1wKCgoCDkYycOBAdQ6jWVmgcxjp7tixQ22XgYB/5tyeOHEig8pmAscEN7HuueceFQRRy4b+TDie48ePV8eTAVMYufTetZI9RuSv+dv0HApeJ+l2uUjJgaN62jgq/yzVT0MiWTW38wQ6eKCmp74i+8uIWJH95ZW6j9Ry+c1enb4VTMXp1YKVmqMHkmjAQSvCDe6Um35FgC/Pq6++WlwulwqCUJDE3SoMBFETpIX1TB8lp7TQiR7TVB0K+zgeqKVwqsWgwDIzM1VhHP2N/OWfvd8Rzkd0jMZr/J2TOIex/v333686x+McRoHE3zmMJoCxsbEqEKPqcG7j8yEuLk4V6HhuNz0cE5zLffv2VcfE9PWjlskcT3wO4XhiVMrWiGcx+TU0KVkka7nXAAfly5ZLphXk3KKbt9VGdHef5nSJAyVVcmWD0yAL1ZYXy6Ig+zBJxXZZZwV2V0R1ql5TpaZrq5O4NqdLapYr5EOltxboiI1mR7irDrhDj4Bn+/btqnBZG4HSQkGUvOHLbvjw4aqwv3LlShYo62jfvn3ywgsvqMIf8hCBE2pVu3btWm0QDdTgITh977339BxvaGJqzmGkZc7h4uJir+sB5zPmYURIqg7ndnJyssrvrKwsFsybARyTW2+9VfU7wjEJVLi291cy0DcV1wMGN6lpOT/LGh6OJz5/UHu+YsUKNVx8axW+ny6Hs2XpSpE7hw3QM6hWEh+Sg/NFpva0N5mLkvwT7j5FtRU1ZLDE6VHy3EFHvGTopnMm/aplYC3PSZZMz/Ll8pv51Ue/M+x9mNDs7ooc3W8pcZSkxdqa/uWJFYjVhXt/xdpO8CP2tV5oRoSRjTBssoERj9D8yMBoSihs4osPd4gXL16sl3hDWug7gg9t8wWJ4cSd0iJv9913n6q1wMhTLGDUHYJNM1oUHvhtKwylf/jwYVVQ37Ztm6d2yJz/9kEccIcW57hZJ9D1YKxevdorsCJvqKHDMXnyyScZLDUTaDpqjom/YGncuHHq9+CwjukLs2bNGjWNwvnGjRtVH0BcB/6Wb9q0SS2392uihoMbOagFX7p0aasOliDC+vAOTRsW66Su/KpMTzQBK0Aa3usxsd/n6z23SNbf20VPNb7hCdHq764tHMKXmkbMIHfn/p071SXaYFBAxLDH9r4Y+FK0D+qAoGjVqlV6SlTH3cLCQnUX0dSAYFhmpJWYmChffPGFXrN6Wih8Yl3DpNWQzZb69BGrsNvweRlK/vIS0Hdm/fr1LSrAjI0Vq9AkUloqVuFYz2xCCOLRpyk3N1cV5AYMGKCGcDcwTDjOURT4sNzUhJhaPpzDuB7MVzDOYRQGzYAcqF1CmuiX05TNKJtbvhsIOHFuo7+Y3bXXXqvO7eZSoO7bV6wCp8iOHWIFEHpmmMIxQTCDpql2OCa4ThBA+dY+4Tq6+eabPT+Ietddd6lrxARbNS0PZ/36iWzbJtKunZ7RyHA88VMGaC5sN2jQIPUTCPjtuEbXvr3IDz+IfP+9yGmn6ZmNI3wCpmaIARM1tcYKmFqDlhgwhZPmWnAPd8z3+mlNAROFVlMHTM1SEwZM/PgjIiIiIiJywICJiIiIiIjIQUib5MX0Dk1SRERERERERsme9nLqSTbJIyIiIiIialY46EMD4qAP1NQ46EPocNCHpsXBB5oG871+OOgD1RUHffCDgz4QERERERE1PwyYiIiIiIiIHDBgIiIiIiIicsCAiYiIiIiIyAEDJiIiIiIiIgcMmMJQgWucpFfoCQqJpshTHkciIiKipheeAVPRH6Tz2d2kc2K2fKhntUQFrhiJ6OBbaK6U9IQYiV9WqaeLZWIH+3SllL2/T/4ZREEb6Ve9riXyfe8NxTlP3cfI9khYLeV6Wf0EfxxbotGjR8vrr7+up/zbu3evnHfeeZKQkCDffvutnlsFr2/Tpo1KK1S/jhCuTF7dfffdzKsQGTNmjLz22mte+ZmXl6fy+fHHHw86n/EapOVv/Y8//liio6PVNXDixAk9l/wZO3ZsteNBTQPn9CmnnCKjRo2SnzGmej3hOujevbtcd9118vXXX+u51Fjy8/Pl1FNPVcfzp59+0nNbnzALmLbJHARKi6Jk21dlsm14vkx75ohe1lLtk6kTAxXC4yXjxC4pntxJTzccFRy4ivVU46u+/cZ774HEzV8vJ639OHlivaTJYokOWdDUcnz33XeqUBcREeF5REZGyvHjx/UaVRYvXiyrVq2StLQ0v4EQoACZkpIi7777rkydOlXOPPNMVRgCfHlGRUXJSy+9JB999JEUFxeraX/bau3seXXs2DEpKSlhXoXAE0884TmHce6bwOaGG25QBfaZM2eqfMb56QSvS0xMlBtvvFEqKyurXQvYRo8ePWTNmjUybNgwOeuss+TVV19lQOCH/Xg4faZQwzOBzdq1a+XDDz+U0tJS6datmzq//cE1MGTIEHWTwXxvXHbZZV7rL1myRK666ip58cUXJSkpSc4991zZsGGD/IIfB6MG9cknn8ivf/1rWb16tRw6dEh27typju/Ro0db5edQWAVMW6ZNkL+OeV6OFo6WS63pS+9dK+vv7eJe2ELFzZ8hqaWLZVGhnuGHY9Otwrmq1mNigNfaFbjmSgGe+HkdgpVhWdaTLFf1NCtWS7yf2hWTngp09LJA2zA8tTa24Mhp+9Xfu7vWqXrNXN23HbxO4pqVrJ9XcUozmP2pgprF5t9Ez9zhxaOiokI6duyol7ih1ghfps8995yeUx2+dD/44ANVyMfrUQhFzUhOTo5K96KLLpLy8nLJzs5Wz7Feu3bt1Ic7ebPnFfKSeVV/5hzOyMhQBT1APh88eNBz7u/Zs0cV3PEX0/7cd999cv/998uiRYs86RjYBq6RjRs3Su/evWX69Omq1urJJ59kQODjnXfekXXr1smzzz5bLR+pceE6OHDggApeL7nkEnWdnHbaafLpp586XgdgAiCsg4J5p07um6A4trgOUMMRExOjrgNcL08//TRrXBvBhRdeKP/617/khRdeUMcTN2/at2+vjmdrFEafLtukcGVP+dOUAXo6XPSXjJxkyUzRhetq/DfdykyxCuh5A+XkiXQRPK8xAEA6uTIMBXu8bu8M2W+9zjR3G5q+S/LHWk/GpqvalIxENdsdDEwUyUYNS4bIaE/BH+mVy6MJMfJo9/WSf/lhOVjDNkywsyEJtTXW9sQKjnSg5X/73u/dHZhslVtUbc94+WdP+/uu+7ZroyAvV+TyzhKlpgKlWdP+2CGd4bIu+c/iitSzWijcAb799tvVB3EgX375pWzZskU9x11I3KnH3XbcgSRqSunp6TJixAhVOKyPlStXqtolf+c0agB//PFHr+sEd3YPHz7MgMkHjgdqo+t7PKj5wec+moBdcMEFnusE18GRI0fUdRAoCCMKtfAJmKwvkn9JN+larvsvhUEfJo/EUZIWaxWua1HrkZpjFdLT461n8SrgkqytDgGXN8/rIkdK9vweUpK73TloqFgtj2YlS/7mke4AQb8mM8/s5z6R5PWqydzQ9IdkqJ7rvA13EzsTjA2dMkPiSoskL5haFbUvPSRtr9mOlZYVhMRlLfeqlWmIbZfMHu6uQbIeqAVLTUK+Q81p1pzfCJZcsn++Ox+bO1MARLMJ3F23Qz8afAGmpqbqOf6h4IPACs2a8OV46aWXqtoR3F30hTvxaNZ0zz33SK9evfRc8sfk1YQJE6Rnz556LtUG+maYczhQ8I6Ap0OHDuqcrEuQj7v0Xbt2lTPOOEPPEXUNnHPOOXqKAMcDTU1rOh7U+FA7hOZ2Y8eOrfE6uOWWW1TtIL430OzLBEJlZWXSpUsXdS0ZvA6aBo7n0KFDVZ/hun6utXRhVn+9VkbnD5ajX5VZjyL5kzwmA6Zt08task7iyqhe+A9aZFeJs4rhZbV8LdrgB1RxWEpE15LoR/RsK0iyuSIqcCG/+jbctTIqvZ6LrfSDpPYlSrrZa2AiO8sV+qk/odp2VR8m66Friqqa1wWfpr/8zkxxSWbsDMlu5sHS6aefLps3b1ZfdHjMmTNHNSUy/Y5QS4Q7weiPZC8EOrnmmmtUB198YaK2yRcK/xgQAh/cX3zxhRQUFPDOuwPfvEIzLxwPqh3kGQL5KVOmqPPdCZqU4jyfNGmSKtxRwzCfKTgewXymUONAwRo1Qrgp89lnn6nPG6fPZlxHmzZt8jTHe/jhh6Vfv37sq9eM4HjiJiaOJ5py43i21uaQYRYw3S7ZS0yTvC4ybubtIiuLxN2wp4WLHCmPjN0nU5du1zOai2TJN8GCeaiarTpQfaGWy2/26nRQQ6QXNbhQbTuyv4yIFdlfXhmSNFNz9EASdepT1XRmzJjh6XcE6O+BwiP6I9UEBc6rr75aXC6X+tLEly3u2NtHEsOH9+eff66msQwdjDMzM9Uy8uYvr3A8WCCpHZxf5hx2uruKQjzO+7i4OHUNsNaj4ZjjgYEAmM/NBz67TZ8lfN6gBhDHKphBGqZNm6aun9zcXA7q0EzgeOI7GccTf3FM0a8sFKMftjThEzB17Sq/ljK0zAtbQ9PTJTVrsUwt1TMCyFxY1f+mfFORlMQOlqR69n+J7t5DP9MSB0qq5MqGgIMV1IJvLZGarlJt+3Z+9qV82XLJDPZ917DtoFVsl3XW8VE1ayFJs5O4NuO4uxph+PSGs2/fPtURGAUbPNB074033lDNjnyb7u3evVs1wxs4cKCaxl1IBE/bt29XH9i+cPerf//+ahsMAgIzefXee+/pORQsnF/o/GxG9ELghFpVnMM4ZxEsDR8+XBXi0T+pPoV4f/2V0KcPTZNYm+KGcxifKW3btvU6HhhlDceDnwVND5838fHxsn///jodD4ywh/5K9hoNXAf4TsB1UJ9rjGoPfSpxPN9///1WeX2FUQ1TF4nus1f+tLSqCd6W/LUiYwbLID3d8sXLzPkBggaPHpKWfFiidVOw6NkiaRm6n1E9RA0ZLHF6lDp34d3dTwhN0FSTM/2oc8He9NUyaeWJFQRVqb59O2tf1OAYVfsRPTuqqn9VTWrYdiD2PkxodndFju63VI80vbnzWaztBB5Jr/lAMzCMbHTbbbepaYzShg9Y80BTPTS5Q6EQTcXQLhrDjRsYThyjjhn2Ph1Ie9u2qusc0+jLwEEhqnPKqyuvvFLPoWAhCDJNh/BAnzwMpY9zGM1PMeod5j/11FN+z0PUkOIcxzo1MX0EMJwv1kcwhqYw6BPCgMktKyvL7/HAKGs4HvwsaHxovoXPG3OOYxqfN1dccYXneIwbN06N+OivBgnr43sjOTlZ3Zgw1wFGZ8P6uA7QhA/Xgb1fEzUMczzNsTLH5/LLL2+V11eEdWKHJky0Mq/yqzI90UQOZ8vwXo/Jbj0pfR6WbXqI8aYwPCFa/d21xbNHRI0qZlBv9XfnTnWJNhgUxAcPHuzV3whfimiW5A8KN+gPsn79evXBa+7MI7ACFC7Nc0An38LCQvUFilqm3/72t2rYcgPNOOp7V78mffqIVRBo+LwMJX95hR8fRN62tC+82FixvrhFSkvFKkzpmU0IBUGcw2g+hKHbUYhD00e7a6+9Vp3jKPyhEIg77uY8xTmOGhL7V7BZH4VBpH/TTTd5CitNddyaW747Mcfj5ZdfblaF6b59RdB6accOkbZt9cwwhc8b9D81Q+zDXXfdpc551AQi4Ln11ltVHycEvKglvP76672GqV6wYIE88MAD6poBHNebb77Z0wTMnl6469dPrIBFpF07PaORoc8Sjif6EtuPJ44dfpi4SbRvL/LDDyLffy9y2ml6ZuMIr4CpmWHARE2tsQKm1qAlBkzhpKUU3MMN871+WlPARKHV1AFTs9SEARM//oiIiIiIiBwwYCIiIiIiInIQ0iZ5REREROStb68f5eeIJur3QS3S23tOk3Yn/1dPkRc2ySMiIiIiImo+QlfDREREREREFGZYw0REREREROSAARMREREREZEDBkxEREREREQOGDARERERERE5YMBERERERETkgAETERERERGRAwZMREREREREDhgwEREREREROWDARERERERE5IABExERERERkQMGTERERERERA4YMBERERERETlgwEREREREROSAARMREREREZGDBg2YJk+eLIcOHdJT1JCQzxEREXL99dfrOfUXFRUla9as0VPU0uD6IyIiIqL6abCACQX3AQMGyGWXXabnUENCPi9YsEDGjBmj59RfamqqXHLJJXqKamP79u3qEQwEu/bAFIFqKIKdSy+9lDcsiIiIiOqpQQImBEuPPPKI3HHHHXoONYY333xTYmNj9VT9LFy4UP3t37+/+ku18+ijjwadd48//rjXcSsvL5dly5bpqbqLi4uTnJwcPUVEREREdRHygAkFbdR2mMIiptFUzF9zMdxJN8vsd8IxbQrsgNfhbr1JC68zTdDsr7OnZ4e792a+b7pOd/KxDOtjOV6PtO1Mevb55jW+2zH7iodvHpj3hO1gGabx3KyL943ndiYt+7axDRS0kfdmP+x545sH9n3CNsy2jVmzZqmHYdI0r3di3o99PTNtr3Ex+W7PW/Nas8wcz0BM2r7Hx+QhHqb2xv6eAa8xrzP5Y/bR7Av+mvdu9sscE/v7MWmadDZt2qReZ5j5mId08DDpPPPMM5KYmKjWM/tt9hn85SmYeXhfJn378o4dO6ogmoiIiIjq4WQIVVRUnESS+GtERkZ6TRtYb/Xq1eo5/g4ZMkQ9x/r2acA8A8sWLFigltvn29OzvxbrmvXeeustr2U1uffeez37Yl5n3iPSAvP+8LDvj4H17HmC5wbSN+liO/Z0sd9m2yZd323b34vJF6Rp3qc9Lac8wHyTnyb/fDm9N1/29wP2921PH3/t6WH7gHXxHPuI5Wa7Jg07zHPKCzzHvoBZzzzHA8vwsKdh5tnzANvGw2zDvB+Tvtlv83rDNx3f/Ec6ZjmWmXQMsx1AWv7y1Cw3+Wq2ad8PbMv+WiIiIiKqvZAGTCj4+RbQfAuPgHn2QqJvwQ7PzXLfwiiW4WEKjOCbnoHXmoIqYB1/6zlB4dS+bbAXoLEP9vTx3L5fYC/82t8n8sT+nv2lZV8OmPbNSwPL7HmN7WJ7gfLA7EMweeLvvdn5bgfsr7EfIzzH/hn294TXYD28Dg/7enZOeWHek509DaRt8snss1kfz02aZttYx7CnY1+GNH3fg3nf/vLFng62bd8Gnpv98fdae9rYpnk/YM9j8JcXRERERFQ7/kujdYTCmb3AZtgLeWAvMAIKdqbQB1hu1jeFWwPL7NPgm55hL0Bi33wLn4GYwqpvYdakgX3Adu3Lsc/2bdgLrNgP+/vyTdueB1inprR9YX3zevt+BsoDLAu2QF3T9pFWoOOCfTD7gv0zy8w+g3nfZn/t+WcXaF+wfqB8w3KzTfw1+2G2bZj9NZCm2Rd7/gKe4/Xgb3v2fLGnA/ZtArZp1rc/N+zr2/cfsF37e8dy+3sgIiIiotrzLq3Vk2+BzUAh0hQSfQuUgGlTMMRfsxxpoUBoCqNY5lsA9JeegW3i9Xj4269A/BVWMW3ScyqIYh1T4Mdfs76ZB/72GeuY7WFd+/rgW9C2wzJ7etg38/pAeYB5tWF/b76wHXv6WM++v3itfb/M/pj3DL6vwXP7ciNQXiAfzPkC2KY5VpiP7ZrlWNee5/Zj6vt+7NP2NPE6e96b92n45jHWNXng733Y9893H3zzx+Qh4K99P8D+/oiIiIiobkI+6AM6mhv2Tu8YkMCwCoT6mXsddLw3I+pt27ZNDWcNGGnMKvR5hibHMgxV7sueHjrN2zu+WwVJlFjVIBTYjr2jfiCFhYV+R5yzCsMqPYxihu2Yzvv2bX744Yf6maihvrE+BlDw3TcDnfXxPk0eoKM+RjjzZc9D5JsZGOBvf/ubyisD+25/vb88wMMqfOs1nAV6b76OHTum/mK/HnzwwWojvWFwA/tAEthn+0iKeN8YXdHAwAlOIy065QUcP35c/cV+Y5tmP0pLS9Xxw/lkBsSw5/nvfvc79RywbTNwCY6bfSAT5C/WRd7gdWbABli5cqXfcxTMABMpKSnqL47btddeq56DOSbmfAenPDXrmn0qKSnxXDeA5bgunPKPiIiIiIJkFaRDxn6HG3e8kbx5mDvhgDvlZr65227gDrr9NeY57rqbv75wR9+sZ7+jbl5jHua1Zr59n+ww3/duvWHfP7Pv9veDhx3SMfPt+2afb9/Pv//97+qvP755Y2Da972ZdezT9vWQZ75570+g92Zn346/vMN7991nO/N6A+ua9Mw+2znlhf11WMcO0+YY4H351gThgeV4mGk8fPPJzEd6Jn/MezbH1aRt3097HmE/zTKzn75pBcpT3+Nn0rJv136+EREREVHdROA/q6AVErgT/8ADD3jdISdqaXAeo5aopdbOoHYJNU722jwiIiIiqpuQBkwoqKEJEZsBUUuGJpIhvCwaHZoobty4UU8RERERUX2EtA8T+lOgnxFRS4SAH8ESmP5GLYnZfwZLRERERKET0homIiIiIiKicBLyUfKIiIiIiIjCBQMmIiIiIiIiBwyYiIiIiIiIHDBgIiIiIiIicsCAiYiIiIiIyAEDJiIiIiIiIgcMmIiIiIiIiPwS+f+gCbgwUgoFKAAAAABJRU5ErkJggg==\"\u003e\u003c/p\u003e\n\u003cp\u003eAs above table-5 exhibited, the liquid asset to total deposit ratio of \u0026nbsp;wegagen bank is found at top with highest average percentage of 62.06 which was followed by united bank with an average percentage of 58.58, while bank of awash was at last place with least average percentage of 24.66.\u003c/p\u003e\n\u003cp\u003e4.6. Composite Camel Ranking\u003c/p\u003e\n\u003cp\u003eAs exhibited below, the composite ratings of the respective banks have been calculated in order to assess the overall performance of private Ethiopian commercial banks through camel model. the composite camel ranking is given to compare the banks according to their rankings and which bank deserves the consideration while making financial decisions.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003eAs the above table-6 exhibited, ranking of the banks of Ethiopian private commercial banks for the period 2014-2018 with its overall financial performance under camel rating model. to evaluate the banks and calculate the group ranking i took the group rankings of each parameter of camel model. by averaging those 6 parameters i finally found the composite ranking. And the result shows that, Wegagen bank is in first position with the average score of 2.6. but it should pay close attention towards its asset quality and management area. followed by Abyssinia and united banks with average score of 2.8 and 3 respectively. \u0026nbsp;on the other hand, nib bank stood in last position with the average score of 4.9. it needs close directions of authorities and supervisory agencies.\u003c/p\u003e\n\u003cp\u003eDescriptive statistics\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003efrom the results displayed above, the analysis of the means shows the following descriptive statistics: average profitability (m= 11.58, sd= 5.64), capital (m= 22.86, sd= 12.50), asset quality (m= 78.96, sd= 2.61), management efficiency (m= 39.29, sd= 12.50), earning quality (m= 11.58, sd= 5.64), and liquidity management (m= 47.68, sd= 15.51). hence, asset quality has the highest means (m= 78.96) with the deviation from the mean of 2.61. on the other hand, the lowest standard deviation for average profitability (5.64) indicates that all the data are clustered around the mean and thus more reliable.\u003c/p\u003e\n\u003cp\u003e5. Major Finding\u003c/p\u003e\n\u003cp\u003eCamel rating approach is considered as an important tool for identifying the financial strengths and weaknesses of a bank. this analysis helps to point out possible weaknesses and suggest necessary corrective measures to overcome weaknesses and thus improve the overall performance of a bank. this study has been conducted to examine the performance of six selected private commercial banks in Ethiopia during the period (2014-18) with respect to camel ratios. \u0026nbsp;The study result shows that, Wegagen bank is in first position. but it should pay close attention towards its asset quality and management area, followed by Abyssinia and united banks \u0026nbsp;respectively. \u0026nbsp; On the other hand, nib bank stood in last position. it needs close directions of authorities and supervisory agencies although, the scope of this study is limited to six selected banks only but this study is equally beneficial to all the private banks in Ethiopia since it has identified some specific areas for banks to work on on the basis of group averages of the three parameters selected to rank the capital adequacy status of the six banks: united, Wegagen and Abyssinia held from first to third of the ranks respectively and Dashen stood last in this composite capital adequacy parameter due to its poor performance on capital to asset ratio, debt to equity ratio and advance to asset ratio.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eWith group averages of tree sub-parameters of assets quality assessment ratios, united bank was at the initial position. however, awash, Dashen \u0026amp; nib were equally ranked in the third position and wegagen bank is ranked sixth position.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eThe other group ranking is based on the average of individual bank\u0026rsquo;s management capability. Hence, awsh bank has the highest capital adequacy ratio and ranked first, followed by united bank, and \u0026nbsp;also, two banks Wegagen bank and nib bank were found as \u0026nbsp;relatively equal performers third position respectively and \u0026nbsp;the last position is occupied by Abyssinia bank.\u003c/p\u003e\n\u003cp\u003eBased up on the group averages four earning quality indicators, Wegagen bank took the first position, followed by Dashen bank and awash bank respectively. United bank is in last position among all the banks because of their lower earnings quality with the average score of 5.25\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;The liquidity position of Wegagen bank were found as the most liquid banks, awash bank and \u0026nbsp;Abyssinia \u0026nbsp; respectively the last positioned bank .\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n \u003cli\u003eAburime, T. (2008) determinants of bank profitability: macroeconomic evidence from nigeria. available at ssrn: http://ssrn.com/abstract=1231064 or http://dx.doi.org/10.2139/ssrn.1231064\u003c/li\u003e\n \u003cli\u003eAdmasu B., and asayehgn D. (2014), \u0026lsquo;banking sector reform in Ethiopia\u0026rsquo;, \u003cem\u003einternational journal of business and commerce,\u0026nbsp;\u003c/em\u003e3 (8), 25-38\u0026nbsp;\u003c/li\u003e\n \u003cli\u003eAlemayehu, \u0026nbsp;G. (2006), the structure and performance of ethiopia\u0026rsquo;s financial sector in the pre-and post-reform period with a special focus on banking \u0026nbsp;Yanda, a.M., christopher,\u0026nbsp;\u003c/li\u003e\n \u003cli\u003e\u0026nbsp;Mudashiru, M. (2013) determinants of banks, profitability in developing economy: evidence from nigerian banking industry\u0026rsquo;, \u003cem\u003einterdisciplinary journal of contemporary research in business\u003c/em\u003e, 4(9), 155-181\u0026nbsp;\u003c/li\u003e\n \u003cli\u003eBaral, k.J. (2005) health check-up of commercial banks in the framework of camel: a case study of joint venture banks in nepal\u0026rsquo;\u003cem\u003e, the journal of nepalese business studies,\u0026nbsp;\u003c/em\u003e2(1) pp.14-35 \u0026nbsp;\u003c/li\u003e\n \u003cli\u003ebodla, b.s.; and verma, R. (2006), \u0026lsquo;evaluating performance of banks through camel model: a case study of sbi and icici\u0026rsquo;, \u003cem\u003ethe icfai journal of bank management\u003c/em\u003e, vol. 5, no. 3, pp. 49-63\u0026nbsp;\u003c/li\u003e\n \u003cli\u003eBrooks, C., (2008), \u003cem\u003eintroductory econometrics for finance\u003c/em\u003e, second edition, cambridge university press, new york.\u003c/li\u003e\n \u003cli\u003eCooper, d.c., \u0026amp; Schindler, P. (2009), \u003cem\u003ebusiness research methods\u003c/em\u003e, ninth edition, tata mcgraw-hill, new delhi.\u003c/li\u003e\n \u003cli\u003eCreswell, j., (2009), \u003cem\u003eresearch design: qualitative, quantitative, and mixed methods approaches\u003c/em\u003e, 3rd\u0026nbsp;edition, by sage publication inc., 2009 \u0026nbsp;\u003c/li\u003e\n \u003cli\u003eDang, U.(2011), the camel rating system in banking supervision: a case study\u0026rsquo;\u003cem\u003e,\u0026nbsp;\u003c/em\u003earcada university of applied sciences, international business.\u003c/li\u003e\n \u003cli\u003elelissa B. (2007) the impact of financial liberalization on the ownership, market structure \u0026amp; performance for the Ethiopian banking industry, mba thesis, addis ababa university.\u003c/li\u003e\n \u003cli\u003eMalhotra, N. (2007), marketing research: an applied orientation, 5th edn. phi, new delhi.maryam azizi, dr. Yusef (2014). \u0026ldquo;review financial performance of mellat bank according to camel model\u0026rdquo;: journal of multidisciplinary research, vol. 3 issue 1. issn 2278-0637\u003c/li\u003e\n \u003cli\u003eAnwarul B., (2012) \u0026ldquo;performance analysis through camel rating: a comparative study of selected private commercial banks in bangladesh\u0026rdquo; journal of politics \u0026amp; governance, vol. 1, no. 213, pp 16-25.\u003c/li\u003e\n \u003cli\u003eMuhammad, H.(2009) bank \u0026amp; camels (retried) banks \u0026amp; camels\u003c/li\u003e\n \u003cli\u003eNabilah R., \u0026amp; reshindeh A. (2013) camels \u0026amp; performance evaluation of banks in malaysia: conventional versus islamic\u0026rdquo; journal of islamic finance \u0026amp; business research vol 2, no 1 pp 36-45\u003c/li\u003e\n \u003cli\u003eOlweny, t \u0026amp; Atemnkeng, J. (2006) effects of banking sectoral factors on the profitability of commercial banks in kenya, economics and finance review, vol. 1, no. 5, pp. 1-30.\u003c/li\u003e\n \u003cli\u003eOlweny, T \u0026amp; Shipo, M. (2011) effects of banking sectoral factors on the profitability of commercial banks in kenya; economics \u0026amp; finance review, vol. 1 no. s, p.p. 1-30\u003c/li\u003e\n \u003cli\u003eSamuels, W.J (1993) john r hicks \u0026amp; the history of economics, history of political economy, Michingan state university, USA: duke university press, 25 (2) 351-374\u003c/li\u003e\n \u003cli\u003eSeptember, (2007) bank supervision process comptroller\u0026rsquo;s handbook\u0026rdquo;\u003c/li\u003e\n \u003cli\u003eSeptember, (1999) camels rating system\u0026rdquo; supervision \u0026amp; examination sector department of rural banks.\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Evaluating, Private Commercial banks, Financial Performance, Camel Model","lastPublishedDoi":"10.21203/rs.3.rs-5559602/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5559602/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cem\u003eThe study were mainly aimed to evaluated the financial performance of six purposely selected \u0026nbsp;private commercial banks of \u0026nbsp;Ethiopia for the period 2014-2018 applying camel model. Secondary data had been sourced from annual reports of these considered private banks. finding of the study \u0026nbsp;reveal that, leverage ratio correlated significantly \u0026amp; negatively with capital to assets ratio (financial performance). In this regard, private commercial banks of Ethiopia found as highly leveraged but sound \u0026nbsp;liquidity position. \u0026nbsp;What is more, \u0026nbsp;the study showed that, capital adequacy, asset quality, earning ability and managerial efficiency had no impact on private commercial banks’ financial performance. On the other hand, the liquidity position of these banks were found to be significant variable. More over, this study indicated that, selected banks financial performance found as healthy for the period a study considered. Finally, a researcher suggest, the findings of this study shall be helpful to the management of selected banks in making appropriate managerial decisions.\u003c/em\u003e\u003c/p\u003e","manuscriptTitle":"Evaluating Financial Performance of Commercial Banks Applying CAMEL Model: Evidence From Private Commercial Banks of Ethiopia","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2024-12-04 12:29:37","doi":"10.21203/rs.3.rs-5559602/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"70c84d8d-7aac-479d-a3bc-6d96e77d72fa","owner":[],"postedDate":"December 4th, 2024","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":40990973,"name":"Finance"}],"tags":[],"updatedAt":"2024-12-04T12:29:37+00:00","versionOfRecord":[],"versionCreatedAt":"2024-12-04 12:29:37","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-5559602","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-5559602","identity":"rs-5559602","version":["v1"]},"buildId":"rHA-KDH7Qsr4HCuvH75dn","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}