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The price and volume response to earnings announcements in the corporate bond market

Author

Listed:
  • Melissa Woodley
  • Peter DaDalt
  • John R. Wingender

Abstract

We examine abnormal returns and trading activity in bond markets around earnings announcements. Previous work provides mixed evidence on the relative impact of positive and negative surprises and the degree of response in investment‐grade and speculative‐grade bonds. We find that these announcements convey value‐relevant information for both positive and negative earnings surprises in both investment and speculative‐grade bonds. We also document significant heterogeneity in the response across industries, with muted responses in both abnormal returns and trading activity for bonds of firms in the financial and utilities industries.

Suggested Citation

  • Melissa Woodley & Peter DaDalt & John R. Wingender, 2020. "The price and volume response to earnings announcements in the corporate bond market," The Financial Review, Eastern Finance Association, vol. 55(4), pages 669-696, November.
  • Handle: RePEc:bla:finrev:v:55:y:2020:i:4:p:669-696
    DOI: 10.1111/fire.12242
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    References listed on IDEAS

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    1. Maul, D. & Schiereck, D., 2017. "The bond event study methodology since 1974," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 80723, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    2. Kalimipalli, Madhu & Nayak, Subhankar & Perez, M. Fabricio, 2013. "Dynamic effects of idiosyncratic volatility and liquidity on corporate bond spreads," Journal of Banking & Finance, Elsevier, vol. 37(8), pages 2969-2990.
    3. Joon Chae, 2005. "Trading Volume, Information Asymmetry, and Timing Information," Journal of Finance, American Finance Association, vol. 60(1), pages 413-442, February.
    4. Ederington, Louis & Guan, Wei & Yang, Lisa (Zongfei), 2015. "Bond market event study methods," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 281-293.
    5. Thompson, Samuel B., 2011. "Simple formulas for standard errors that cluster by both firm and time," Journal of Financial Economics, Elsevier, vol. 99(1), pages 1-10, January.
    6. Beaver, Wh, 1968. "Information Content Of Annual Earnings Announcements," Journal of Accounting Research, Wiley Blackwell, vol. 6, pages 67-92.
    7. Kandel, Eugene & Pearson, Neil D, 1995. "Differential Interpretation of Public Signals and Trade in Speculative Markets," Journal of Political Economy, University of Chicago Press, vol. 103(4), pages 831-872, August.
    8. Güntay, Levent & Hackbarth, Dirk, 2010. "Corporate bond credit spreads and forecast dispersion," Journal of Banking & Finance, Elsevier, vol. 34(10), pages 2328-2345, October.
    9. Ellul, Andrew & Jotikasthira, Chotibhak & Lundblad, Christian T., 2011. "Regulatory pressure and fire sales in the corporate bond market," Journal of Financial Economics, Elsevier, vol. 101(3), pages 596-620, September.
    10. Mark L. Defond & Jieying Zhang, 2014. "The Timeliness of the Bond Market Reaction to Bad Earnings News," Contemporary Accounting Research, John Wiley & Sons, vol. 31(3), pages 911-936, September.
    11. Hendrik Bessembinder & Kathleen M. Kahle & William F. Maxwell & Danielle Xu, 2009. "Measuring Abnormal Bond Performance," The Review of Financial Studies, Society for Financial Studies, vol. 22(10), pages 4219-4258, October.
    12. 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.
    13. Peter D. Easton & Steven J. Monahan & Florin P. Vasvari, 2009. "Initial Evidence on the Role of Accounting Earnings in the Bond Market," Journal of Accounting Research, Wiley Blackwell, vol. 47(3), pages 721-766, June.
    14. Ge, Wenxia & Kim, Jeong-Bon, 2014. "Real earnings management and the cost of new corporate bonds," Journal of Business Research, Elsevier, vol. 67(4), pages 641-647.
    15. Gergana Jostova & Stanislava Nikolova & Alexander Philipov & Christof W. Stahel, 2013. "Momentum in Corporate Bond Returns," The Review of Financial Studies, Society for Financial Studies, vol. 26(7), pages 1649-1693.
    16. Ronen, Tavy & Zhou, Xing, 2013. "Trade and information in the corporate bond market," Journal of Financial Markets, Elsevier, vol. 16(1), pages 61-103.
    17. Tsung-Kang Chen & Yijie Tseng & Yu-Ting Hsieh, 2015. "Real Earnings Management Uncertainty and Corporate Credit Risk," European Accounting Review, Taylor & Francis Journals, vol. 24(3), pages 413-440, September.
    18. Flannery, Mark & Hirtle, Beverly & Kovner, Anna, 2017. "Evaluating the information in the federal reserve stress tests," Journal of Financial Intermediation, Elsevier, vol. 29(C), pages 1-18.
    19. Edwin J. Elton & Martin J. Gruber & Deepak Agrawal & Christopher Mann, 2001. "Explaining the Rate Spread on Corporate Bonds," Journal of Finance, American Finance Association, vol. 56(1), pages 247-277, February.
    20. Brogaard, Jonathan & Koski, Jennifer L. & Siegel, Andrew F., 2019. "Do upgrades matter? Evidence from trading volume," Journal of Financial Markets, Elsevier, vol. 43(C), pages 54-77.
    21. Friewald, Nils & Jankowitsch, Rainer & Subrahmanyam, Marti G., 2012. "Illiquidity or credit deterioration: A study of liquidity in the US corporate bond market during financial crises," Journal of Financial Economics, Elsevier, vol. 105(1), pages 18-36.
    22. Harris, Milton & Raviv, Artur, 1993. "Differences of Opinion Make a Horse Race," The Review of Financial Studies, Society for Financial Studies, vol. 6(3), pages 473-506.
    23. Jason Wei & Xing Zhou, 2016. "Informed Trading in Corporate Bonds Prior to Earnings Announcements," Financial Management, Financial Management Association International, vol. 45(3), pages 641-674, August.
    24. Aaron Crabtree & John Maher, 2005. "Earnings Predictability, Bond Ratings, and Bond Yields," Review of Quantitative Finance and Accounting, Springer, vol. 25(3), pages 233-253, November.
    25. Theodosia Konstantinidi & Peter F. Pope, 2016. "Forecasting Risk in Earnings," Contemporary Accounting Research, John Wiley & Sons, vol. 33(2), pages 487-525, June.
    26. David Hirshleifer & Sonya Seongyeon Lim & Siew Hong Teoh, 2009. "Driven to Distraction: Extraneous Events and Underreaction to Earnings News," Journal of Finance, American Finance Association, vol. 64(5), pages 2289-2325, October.
    27. Amy K. Edwards & Lawrence E. Harris & Michael S. Piwowar, 2007. "Corporate Bond Market Transaction Costs and Transparency," Journal of Finance, American Finance Association, vol. 62(3), pages 1421-1451, June.
    28. George Bittlingmayer & Shane M. Moser, 2014. "What Does the Corporate Bond Market Know?," The Financial Review, Eastern Finance Association, vol. 49(1), pages 1-19, February.
    29. Linda Smith Bamber & Orie E. Barron & Douglas E. Stevens, 2011. "Trading Volume Around Earnings Announcements and Other Financial Reports: Theory, Research Design, Empirical Evidence, and Directions for Future Research," Contemporary Accounting Research, John Wiley & Sons, vol. 28(2), pages 431-471, June.
    30. Datta, Sudip & Dhillon, Upinder S., 1993. "Bond and Stock Market Response to Unexpected Earnings Announcements," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 28(4), pages 565-577, December.
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    1. Yanxi Li & Siu Kai Choy & Mingzhu Wang, 2022. "The potential built‐in supply effect from margin trading in the Chinese stock market," The Financial Review, Eastern Finance Association, vol. 57(4), pages 835-861, November.

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