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Financial distress and idiosyncratic volatility: An empirical investigation

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  • Chen, Jing
  • Chollete, Lorán
  • Ray, Rina

Abstract

We investigate the link between distress and idiosyncratic volatility. Specifically, we examine the twin puzzles of anomalously low returns for high idiosyncratic volatility stocks and high distress risk stocks, documented by Ang et al. (2006) and Campbell et al. (2008), respectively. We document that these puzzles are empirically connected, and can be explained by a simple, theoretical, single-beta CAPM model.

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  • Chen, Jing & Chollete, Lorán & Ray, Rina, 2010. "Financial distress and idiosyncratic volatility: An empirical investigation," Journal of Financial Markets, Elsevier, vol. 13(2), pages 249-267, May.
    • Handle: RePEc:eee:finmar:v:13:y:2010:i:2:p:249-267
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    1. John M. Griffin & Michael L. Lemmon, 2002. "Book‐to‐Market Equity, Distress Risk, and Stock Returns," Journal of Finance, American Finance Association, vol. 57(5), pages 2317-2336, October.
    2. John Y. Campbell & Jens Hilscher & Jan Szilagyi, 2008. "In Search of Distress Risk," Journal of Finance, American Finance Association, vol. 63(6), pages 2899-2939, December.
    3. Newey, Whitney K & West, Kenneth D, 1987. "Hypothesis Testing with Efficient Method of Moments Estimation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 28(3), pages 777-787, October.
    4. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    5. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-470, May.
    6. John Y. Campbell & Glen B. Taksler, 2003. "Equity Volatility and Corporate Bond Yields," Journal of Finance, American Finance Association, vol. 58(6), pages 2321-2350, December.
    7. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, Wiley Blackwell, vol. 18(1), pages 109-131.
    8. Andrew Ang & Robert J. Hodrick & Yuhang Xing & Xiaoyan Zhang, 2006. "The Cross‐Section of Volatility and Expected Returns," Journal of Finance, American Finance Association, vol. 61(1), pages 259-299, February.
    9. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
    10. Gibbons, Michael R & Ross, Stephen A & Shanken, Jay, 1989. "A Test of the Efficiency of a Given Portfolio," Econometrica, Econometric Society, vol. 57(5), pages 1121-1152, September.
    11. repec:bla:jfinan:v:53:y:1998:i:3:p:1131-1147 is not listed on IDEAS
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    Cited by:

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    2. Bo Li & Sabri Boubaker & Zhenya Liu & Waël Louhichi & Yao Yao, 2023. "Exploring the Nonlinear Idiosyncratic Volatility Puzzle: Evidence from China," Computational Economics, Springer;Society for Computational Economics, vol. 62(2), pages 527-559, August.
    3. Chui, David & Wing Cheng, Wui & Chi Chow, Sheung & LI, Ya, 2020. "Eastern Halloween effect: A stochastic dominance approach," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 68(C).
    4. Jun-Biao Lina & Ping-Yeh Su, 0. "Idiosyncratic Volatility and Liquidity Risk: How they have Explanatory Power in Stock Returns," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 0, pages 2.
    5. Tariq Aziz & Valeed Ahmad Ansari, 2017. "Idiosyncratic volatility and stock returns: Indian evidence," Cogent Economics & Finance, Taylor & Francis Journals, vol. 5(1), pages 1420998-142, January.
    6. Chen, Honghui & Zheng, Minrong, 2021. "IPO underperformance and the idiosyncratic risk puzzle," Journal of Banking & Finance, Elsevier, vol. 131(C).
    7. Rong Guan & Huiwen Wang & Haitao Zheng, 2020. "Improving accuracy of financial distress prediction by considering volatility: an interval-data-based discriminant model," Computational Statistics, Springer, vol. 35(2), pages 491-514, June.
    8. Vuong, Giang Thi Huong & Nguyen, Phuc Van & Barky, Walid & Nguyen, Manh Huu, 2024. "Stock return volatility and financial distress: Moderating roles of ownership structure, managerial ability, and financial constraints," International Review of Economics & Finance, Elsevier, vol. 91(C), pages 634-652.
    9. Chris Godfrey & Chris Brooks, 2015. "The Negative Credit Risk Premium Puzzle: A Limits to Arbitrage Story," ICMA Centre Discussion Papers in Finance icma-dp2015-07, Henley Business School, University of Reading.
    10. Jun-Biao Lina & Ping-Yeh Su, 2017. "Idiosyncratic Volatility and Liquidity Risk: How they have Explanatory Power in Stock Returns," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 7(1), pages 1-2.
    11. Kevin Aretz & Ming-Tsung Lin & Ser-Huang Poon, 2023. "Moneyness, Underlying Asset Volatility, and the Cross-Section of Option Returns," Review of Finance, European Finance Association, vol. 27(1), pages 289-323.
    12. Dongcheol Kim & Inro Lee, 2020. "The financial distress pricing puzzle in banking firms," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(2), pages 1351-1384, June.
    13. Kim, Dongcheol & Lee, Inro & Na, Haejung, 2019. "Financial distress, short sale constraints, and mispricing," Pacific-Basin Finance Journal, Elsevier, vol. 53(C), pages 94-111.
    14. Yi-Shu Wang & Ting-Chen & Zhen-Jia-Liu, 2020. "The Relationship between Accounting Information Quality and Idiosyncratic Volatility: An Empirical Study on Chinese A-Share Listed Companies," Eurasian Journal of Business and Management, Eurasian Publications, vol. 8(2), pages 150-166.

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