Building an Idiosyncratic Risk Model for Asset Pricing in Emerging Markets (2010–2024)

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Building an Idiosyncratic Risk Model for Asset Pricing in Emerging Markets (2010–2024) | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Building an Idiosyncratic Risk Model for Asset Pricing in Emerging Markets (2010–2024) Marselinus Asri This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7956168/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract The research problem The classic models for asset pricing (CAPM) capture only systematic risk and ignore firm-specific volatility. However, in developing countries where diversification and information asymmetry are low, the idiosyncratic risks can be priced. We investigate whether (accounting-based) measures, specifically, accrual quality and anomalies, affect firm-specific volatility and the extent to which idiosyncratic risk mediates their links to asset pricing. Institutional setting The paper relies on Indonesia as a proxy for an emerging market with concentrated ownership, changing levels of disclosure, and economic shocks such as the 2020–2021 COVID-19 pandemic era. It is in the institutional environment that a judgment can be made on whether accounting quality and firm-specific volatility affect asset pricing under market inefficiencies. The hypothesis testing and model establishment (1) greater persistence of accruals, (2) non-current and abnormal levels of accruals, and (3) idiosyncratic risk all moderate or mediate the relation between the level of accruals and valuation. In order to investigate such claims, we expand the Fama–French five-factor model by including a set of accounting-based factors in building our modified idiosyncratic risk model. Adopted methodology Based on a sample of 110 manufacturing companies listed in the capital market in Indonesia Stock Exchange (2010–2024 period), this study estimates firm-specific residuals from Fama–French five-factor regression. These residuals are idiosyncratic risk, endogenously modelled dynamically with persistence (GARCH(1, 1)) and asymmetry (EGARCH). To do that, a SEM-AMOS technique is applied to test direct and indirect relationships between accrual components, idiosyncratic risk, and the valuation measures: price-book value (PBV) and price-earnings ratio (PER). Findings and implications The results evidence a decrease in idiosyncratic volatility associated with current operating accruals, while an increase is observed in the case of non-current and abnormal accruals. Financial accruals do not significantly contribute. The results suggest the existence of priced idiosyncratic risk, suggesting that in EM, investors incorporate firm-specific volatility into return expectations. Volatility series expose the structural change present during COVID-19, though asymmetry remains as a pervasive characteristic. The results contribute to the literature of asset pricing by integrating firms’ accrual quality and firm-specific volatility in a multifactor model. On a practical level, the study underscores the need to enhance earnings visibility to reduce value risk and keep an effective market in developing countries. JEL Classification: G12, G15, M41, C58 Microeconomics Accounting Idiosyncratic Risk Asset Pricing Accrual Anomalies Fama–French Five-Factor Model Emerging Markets Full Text Additional Declarations The authors declare no competing interests. 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. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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However, in developing countries where diversification and information asymmetry are low, the idiosyncratic risks can be priced. We investigate whether (accounting-based) measures, specifically, accrual quality and anomalies, affect firm-specific volatility and the extent to which idiosyncratic risk mediates their links to asset pricing.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eInstitutional setting\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe paper relies on Indonesia as a proxy for an emerging market with concentrated ownership, changing levels of disclosure, and economic shocks such as the 2020–2021 COVID-19 pandemic era. 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In order to investigate such claims, we expand the Fama–French five-factor model by including a set of accounting-based factors in building our modified idiosyncratic risk model.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAdopted methodology\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eBased on a sample of 110 manufacturing companies listed in the capital market in Indonesia Stock Exchange (2010–2024 period), this study estimates firm-specific residuals from Fama–French five-factor regression. These residuals are idiosyncratic risk, endogenously modelled dynamically with persistence (GARCH(1, 1)) and asymmetry (EGARCH). 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