IDEAS home Printed from https://ideas.repec.org/p/hhs/nhhfms/2006_008.html
   My bibliography  Save this paper

Financial Distress and Idiosyncratic Volatility: An Empirical Investigation

Author

Listed:
  • Chen, Jing

    (Columbia University, Graduate School of Business)

  • Chollete, Lorán

    (Dept. of Finance and Management Science, Norwegian School of Economics and Business Administration)

Abstract

We address the twin puzzles of anomalously low returns for high idiosyncratic volatility and high distress risk stocks, documented by Ang, Hodrick, Xing and Zhang (2006) and Campbell, Hilscher and Szilagyi (2005), respectively. We accomplish two objectives in this study. First, we investigate the link between idiosyncratic volatility and distress risk and find that the idiosyncratic volatility effect exists only conditionally on high distress risk. Second, using a corrected single-beta CAPM model, we provide a rational explanation for the twin puzzles. Joint statistical tests cannot reject the null hypothesis of zero abnormal returns across the idiosyncratic volatility and distress risk portfolios, for the corrected model.

Suggested Citation

  • Chen, Jing & Chollete, Lorán, 2006. "Financial Distress and Idiosyncratic Volatility: An Empirical Investigation," Discussion Papers 2006/8, Norwegian School of Economics, Department of Business and Management Science.
    • Handle: RePEc:hhs:nhhfms:2006_008
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/11250/164104
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Roll, Richard, 1977. "A critique of the asset pricing theory's tests Part I: On past and potential testability of the theory," Journal of Financial Economics, Elsevier, vol. 4(2), pages 129-176, March.
    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. 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.
    9. repec:bla:jfinan:v:53:y:1998:i:3:p:1131-1147 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Deniz Anginer & Çelim Yıldızhan, 2018. "Is There a Distress Risk Anomaly? Pricing of Systematic Default Risk in the Cross-section of Equity Returns [The risk-adjusted cost of financial distress]," Review of Finance, European Finance Association, vol. 22(2), pages 633-660.
    3. 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.
    4. Ferreira Filipe, Sara & Grammatikos, Theoharry & Michala, Dimitra, 2016. "Pricing default risk: The good, the bad, and the anomaly," Journal of Financial Stability, Elsevier, vol. 26(C), pages 190-213.
    5. Barinov, Alexander, 2023. "Profitability anomaly and aggregate volatility risk," Journal of Financial Markets, Elsevier, vol. 64(C).
    6. Kewei Hou & Haitao Mo & Chen Xue & Lu Zhang, 2019. "Which Factors?," Review of Finance, European Finance Association, vol. 23(1), pages 1-35.
    7. De Giorgi, Enrico G. & Post, Thierry & Yalçın, Atakan, 2019. "A concave security market line," Journal of Banking & Finance, Elsevier, vol. 106(C), pages 65-81.
    8. Jie Cao & Amit Goyal & Xiao Xiao & Xintong Zhan, 2023. "Implied Volatility Changes and Corporate Bond Returns," Management Science, INFORMS, vol. 69(3), pages 1375-1397, March.
    9. Amit Goyal, 2012. "Empirical cross-sectional asset pricing: a survey," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 26(1), pages 3-38, March.
    10. Fargher, Neil & Wee, Marvin, 2019. "The impact of Ball and Brown (1968) on generations of research," Pacific-Basin Finance Journal, Elsevier, vol. 54(C), pages 55-72.
    11. Doron Avramov & Tarun Chordia & Gergana Jostova & Alexander Philipov, 2022. "The Distress Anomaly is Deeper than You Think: Evidence from Stocks and Bonds [The prediction of corporate bankruptcy: a discriminant analysis]," Review of Finance, European Finance Association, vol. 26(2), pages 355-405.
    12. Chung, Kee H. & Wang, Junbo & Wu, Chunchi, 2019. "Volatility and the cross-section of corporate bond returns," Journal of Financial Economics, Elsevier, vol. 133(2), pages 397-417.
    13. Jean Helwege & Jing-Zhi Huang & Yuan Wang, 2017. "Debt Covenants and Cross-Sectional Equity Returns," Management Science, INFORMS, vol. 63(6), pages 1835-1854, June.
    14. Ang, Tze Chuan ‘Chewie’ & Lam, F.Y. Eric C. & Wei, K.C. John, 2020. "Mispricing firm-level productivity," Journal of Empirical Finance, Elsevier, vol. 58(C), pages 139-163.
    15. Paul Schneider & Christian Wagner & Josef Zechner, 2020. "Low‐Risk Anomalies?," Journal of Finance, American Finance Association, vol. 75(5), pages 2673-2718, October.
    16. Robert F. Stambaugh & Yu Yuan, 2017. "Mispricing Factors," The Review of Financial Studies, Society for Financial Studies, vol. 30(4), pages 1270-1315.
    17. Sebastien Valeyre, 2020. "Refined model of the covariance/correlation matrix between securities," Papers 2001.08911, arXiv.org.
    18. Zhiyao Chen & Ilya A. Strebulaev & Yuhang Xing & Xiaoyan Zhang, 2021. "Strategic Risk Shifting and the Idiosyncratic Volatility Puzzle: An Empirical Investigation," Management Science, INFORMS, vol. 67(5), pages 2751-2772, May.
    19. Conrad, Jennifer & Kapadia, Nishad & Xing, Yuhang, 2014. "Death and jackpot: Why do individual investors hold overpriced stocks?," Journal of Financial Economics, Elsevier, vol. 113(3), pages 455-475.
    20. Skočir, Matevž & Lončarski, Igor, 2018. "Multi-factor asset pricing models: Factor construction choices and the revisit of pricing factors," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 55(C), pages 65-80.

    More about this item

    Keywords

    Distress risk; idiosyncratic volatility; single-beta CAPM;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hhs:nhhfms:2006_008. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Stein Fossen (email available below). General contact details of provider: https://edirc.repec.org/data/dfnhhno.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.