IDEAS home Printed from https://ideas.repec.org/a/kap/rqfnac/v50y2018i1d10.1007_s11156-017-0623-3.html
   My bibliography  Save this article

Stock price reaction to profit warnings: the role of time-varying betas

Author

Listed:
  • Shuxing Yin

    (Sheffield University)

  • Khelifa Mazouz

    (Cardiff University)

  • Abdelhafid Benamraoui

    (Westminster University)

  • Brahim Saadouni

    (Manchester University)

Abstract

This study investigates the role of time-varying betas, event-induced variance and conditional heteroskedasticity in the estimation of abnormal returns around important news announcements. Our analysis is based on the stock price reaction to profit warnings issued by a sample of firms listed on the Hong Kong Stock Exchange. The standard event study methodology indicates the presence of price reversal patterns following both positive and negative warnings. However, incorporating time-varying betas, event-induced variance and conditional heteroskedasticity in the modelling process results in post-negative-warning price patterns that are consistent with the predictions of the efficient market hypothesis. These adjustments also cause the statistical significance of some post-positive-warning cumulative abnormal returns to disappear and their magnitude to drop to an extent that minor transaction costs would eliminate the profitability of the contrarian strategy.

Suggested Citation

  • Shuxing Yin & Khelifa Mazouz & Abdelhafid Benamraoui & Brahim Saadouni, 2018. "Stock price reaction to profit warnings: the role of time-varying betas," Review of Quantitative Finance and Accounting, Springer, vol. 50(1), pages 67-93, January.
    • Handle: RePEc:kap:rqfnac:v:50:y:2018:i:1:d:10.1007_s11156-017-0623-3
    DOI: 10.1007/s11156-017-0623-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11156-017-0623-3
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11156-017-0623-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Bamber, LS & Cheon, YS, 1998. "Discretionary management earnings forecast disclosures: Antecedents and outcomes associated with forecast venue and forecast specificity choices," Journal of Accounting Research, Wiley Blackwell, vol. 36(2), pages 167-190.
    2. Fama, Eugene F., 1998. "Market efficiency, long-term returns, and behavioral finance," Journal of Financial Economics, Elsevier, vol. 49(3), pages 283-306, September.
    3. Engle, Robert F. & Kroner, Kenneth F., 1995. "Multivariate Simultaneous Generalized ARCH," Econometric Theory, Cambridge University Press, vol. 11(1), pages 122-150, February.
    4. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    5. Ryan Sullivan & Allan Timmermann & Halbert White, 1999. "Data‐Snooping, Technical Trading Rule Performance, and the Bootstrap," Journal of Finance, American Finance Association, vol. 54(5), pages 1647-1691, October.
    6. Corrado, Charles J & Jordan, Bradford D, 1997. "Risk Aversion, Uncertain Information, and Market Efficiency," Review of Quantitative Finance and Accounting, Springer, vol. 8(1), pages 51-68, January.
    7. Cyree, Ken B & DeGennaro, Ramon P, 2002. "A Generalized Method for Detecting Abnormal Returns and Changes in Systematic Risk," Review of Quantitative Finance and Accounting, Springer, vol. 19(4), pages 399-416, December.
    8. James W. Kolari & Seppo Pynnönen, 2010. "Event Study Testing with Cross-sectional Correlation of Abnormal Returns," The Review of Financial Studies, Society for Financial Studies, vol. 23(11), pages 3996-4025, November.
    9. Gili Yen & Cheng-few Lee, 2008. "Efficient Market Hypothesis (EMH): Past, Present and Future," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 11(02), pages 305-329.
    10. Andrew J. Patton & Michela Verardo, 2012. "Does Beta Move with News? Firm-Specific Information Flows and Learning about Profitability," The Review of Financial Studies, Society for Financial Studies, vol. 25(9), pages 2789-2839.
    11. Choudhry, Taufiq & Lu, Lin & Peng, Ke, 2010. "Time-varying beta and the Asian financial crisis: Evidence from the Asian industrial sectors," Japan and the World Economy, Elsevier, vol. 22(4), pages 228-234, December.
    12. Atkins, Allen B. & Dyl, Edward A., 1990. "Price Reversals, Bid-Ask Spreads, and Market Efficiency," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 25(4), pages 535-547, December.
    13. Dave Jackson & Jeff Madura, 2003. "Profit Warnings and Timing," The Financial Review, Eastern Finance Association, vol. 38(4), pages 497-513, November.
    14. Armitage, Seth, 1995. "Event Study Methods and Evidence on Their Performance," Journal of Economic Surveys, Wiley Blackwell, vol. 9(1), pages 25-52, March.
    15. Patell, James M. & Wolfson, Mark A., 1979. "Anticipated information releases reflected in call option prices," Journal of Accounting and Economics, Elsevier, vol. 1(2), pages 117-140, August.
    16. Cox, Don R & Peterson, David R, 1994. "Stock Returns Following Large One-Day Declines: Evidence on Short-Term Reversals and Longer-Term Performance," Journal of Finance, American Finance Association, vol. 49(1), pages 255-267, March.
    17. Marie-Anne Cam & Vikash Ramiah, 2014. "The influence of systematic risk factors and econometric adjustments in catastrophic event studies," Review of Quantitative Finance and Accounting, Springer, vol. 42(2), pages 171-189, February.
    18. Leon Zolotoy, 2011. "Earnings News And Market Risk: Is The Magnitude Of The Postearnings Announcement Drift Underestimated?," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 34(3), pages 523-535, September.
    19. Gustavo Grullon & Roni Michaely & Shlomo Benartzi & Richard H. Thaler, 2005. "Dividend Changes Do Not Signal Changes in Future Profitability," The Journal of Business, University of Chicago Press, vol. 78(5), pages 1659-1682, September.
    20. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. "On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    21. Klemkosky, Robert C & Martin, John D, 1975. "The Adjustment of Beta Forecasts," Journal of Finance, American Finance Association, vol. 30(4), pages 1123-1128, September.
    22. Hyung‐Suk Choi & Narayanan Jayaraman, 2009. "Is reversal of large stock‐price declines caused by overreaction or information asymmetry: Evidence from stock and option markets," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 29(4), pages 348-376, April.
    23. Robert Savickas, 2003. "Event‐Induced Volatility and Tests for Abnormal Performance," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 26(2), pages 165-178, June.
    24. Bollerslev, Tim & Engle, Robert F & Wooldridge, Jeffrey M, 1988. "A Capital Asset Pricing Model with Time-Varying Covariances," Journal of Political Economy, University of Chicago Press, vol. 96(1), pages 116-131, February.
    25. Ferson, Wayne E & Korajczyk, Robert A, 1995. "Do Arbitrage Pricing Models Explain the Predictability of Stock Returns?," The Journal of Business, University of Chicago Press, vol. 68(3), pages 309-349, July.
    26. Pagan, Adrian, 1996. "The econometrics of financial markets," Journal of Empirical Finance, Elsevier, vol. 3(1), pages 15-102, May.
    27. Brown, Keith C. & Harlow, W. V. & Tinic, Seha M., 1988. "Risk aversion, uncertain information, and market efficiency," Journal of Financial Economics, Elsevier, vol. 22(2), pages 355-385, December.
    28. Choudhry, Taufiq, 2005. "Time-varying beta and the Asian financial crisis: Evidence from Malaysian and Taiwanese firms," Pacific-Basin Finance Journal, Elsevier, vol. 13(1), pages 93-118, January.
    29. 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.
    30. DeAngelo, Harry & DeAngelo, Linda & Stulz, Rene M., 2006. "Dividend policy and the earned/contributed capital mix: a test of the life-cycle theory," Journal of Financial Economics, Elsevier, vol. 81(2), pages 227-254, August.
    31. Robert W. Faff & David Hillier & Joseph Hillier, 2000. "Time Varying Beta Risk: An Analysis of Alternative Modelling Techniques," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 27(5‐6), pages 523-554, June.
    32. Brown, Stephen J. & Warner, Jerold B., 1980. "Measuring security price performance," Journal of Financial Economics, Elsevier, vol. 8(3), pages 205-258, September.
    33. Corhay, Albert & Rad, Alireza Tourani, 1994. "Expected returns and volatility in European stock markets," International Review of Economics & Finance, Elsevier, vol. 3(1), pages 45-56.
    34. Libby, R & Tan, HT, 1999. "Analysts' reactions to warnings of negative earnings surprises," Journal of Accounting Research, Wiley Blackwell, vol. 37(2), pages 415-435.
    35. Akgiray, Vedat, 1989. "Conditional Heteroscedasticity in Time Series of Stock Returns: Evidence and Forecasts," The Journal of Business, University of Chicago Press, vol. 62(1), pages 55-80, January.
    36. Fama, Eugene F & French, Kenneth R, 1996. "Multifactor Explanations of Asset Pricing Anomalies," Journal of Finance, American Finance Association, vol. 51(1), pages 55-84, March.
    37. Park, Jinwoo, 1995. "A Market Microstructure Explanation for Predictable Variations in Stock Returns following Large Price Changes," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 30(2), pages 241-256, June.
    38. Tsui, Albert K. & Yu, Qiao, 1999. "Constant conditional correlation in a bivariate GARCH model: evidence from the stock markets of China," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 48(4), pages 503-509.
    39. Harvey, Campbell R., 1989. "Time-varying conditional covariances in tests of asset pricing models," Journal of Financial Economics, Elsevier, vol. 24(2), pages 289-317.
    40. Brockett, Patrick L. & Chen, Hwei-Mei & Garven, James R., 1999. "A new stochastically flexible event methodology with application to Proposition 103," Insurance: Mathematics and Economics, Elsevier, vol. 25(2), pages 197-217, November.
    41. Robert W. Faff & David Hillier & Joseph Hillier, 2000. "Time Varying Beta Risk: An Analysis of Alternative Modelling Techniques," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 27(5‐6), pages 523-554, June.
    42. Bremer, Marc & Sweeney, Richard J, 1991. "The Reversal of Large Stock-Price Decreases," Journal of Finance, American Finance Association, vol. 46(2), pages 747-754, June.
    43. Dyckman, T & Philbrick, D & Stephan, J, 1984. "A Comparison Of Event Study Methodologies Using Daily Stock Returns - A Simulation Approach," Journal of Accounting Research, Wiley Blackwell, vol. 22, pages 1-30.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wan-Ni Lai & Yi-Ting Chen & Edward W. Sun, 2021. "Comonotonicity and low volatility effect," Annals of Operations Research, Springer, vol. 299(1), pages 1057-1099, April.
    2. Adel Almasarwah, 2020. "Stock Price Informativeness and Profit Warnings: Empirical Analysis," Proceedings of the 19th International RAIS Conference, October 18-19, 2020 001aa, Research Association for Interdisciplinary Studies.

    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. Mazouz, Khelifa & Joseph, Nathan L. & Joulmer, Joulmer, 2009. "Stock price reaction following large one-day price changes: UK evidence," Journal of Banking & Finance, Elsevier, vol. 33(8), pages 1481-1493, August.
    2. Mazouz, Khelifa & Joseph, Nathan Lael & Palliere, Clement, 2009. "Stock index reaction to large price changes: Evidence from major Asian stock indexes," Pacific-Basin Finance Journal, Elsevier, vol. 17(4), pages 444-459, September.
    3. Achim Himmelmann & Dirk Schiereck & Marc Simpson & Moritz Zschoche, 2012. "Long-term reactions to large stock price declines and increases in the European stock market: a note on market efficiency," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 36(2), pages 400-423, April.
    4. Oral Erdogan & Ari Yezegel, 2009. "The news of no news in stock markets," Quantitative Finance, Taylor & Francis Journals, vol. 9(8), pages 897-909.
    5. Bali, Turan G., 2008. "The intertemporal relation between expected returns and risk," Journal of Financial Economics, Elsevier, vol. 87(1), pages 101-131, January.
    6. Vinay Patel, 2015. "Price Discovery in US and Australian Stock and Options Markets," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 27, July-Dece.
    7. Piccoli, Pedro & Chaudhury, Mo & Souza, Alceu, 2017. "How do stocks react to extreme market events? Evidence from Brazil," Research in International Business and Finance, Elsevier, vol. 42(C), pages 275-284.
    8. Boubaker, Sabri & Farag, Hisham & Nguyen, Duc Khuong, 2015. "Short-term overreaction to specific events: Evidence from an emerging market," Research in International Business and Finance, Elsevier, vol. 35(C), pages 153-165.
    9. Vinay Patel, 2015. "Price Discovery in US and Australian Stock and Options Markets," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 6-2015, January-A.
    10. Caldeira, João F & Moura, Guilherme Valle & Santos, André Alves Portela, 2013. "Seleção de carteiras utilizando o modelo Fama-French-Carhart," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 67(1), April.
    11. Savor, Pavel G., 2012. "Stock returns after major price shocks: The impact of information," Journal of Financial Economics, Elsevier, vol. 106(3), pages 635-659.
    12. LeBaron, Blake, 2003. "Non-Linear Time Series Models in Empirical Finance,: Philip Hans Franses and Dick van Dijk, Cambridge University Press, Cambridge, 2000, 296 pp., Paperback, ISBN 0-521-77965-0, $33, [UK pound]22.95, [," International Journal of Forecasting, Elsevier, vol. 19(4), pages 751-752.
    13. Franses,Philip Hans & Dijk,Dick van, 2000. "Non-Linear Time Series Models in Empirical Finance," Cambridge Books, Cambridge University Press, number 9780521779654, September.
    14. Choudhry, Taufiq & Jayasekera, Ranadeva, 2012. "Comparison of efficiency characteristics between the banking sectors of US and UK during the global financial crisis of 2007–2011," International Review of Financial Analysis, Elsevier, vol. 25(C), pages 106-116.
    15. Ising, Jan & Schiereck, Dirk & Simpson, Marc W. & Thomas, Thomas W., 2006. "Stock returns following large 1-month declines and jumps: Evidence of overoptimism in the German market," The Quarterly Review of Economics and Finance, Elsevier, vol. 46(4), pages 598-619, September.
    16. Patel, Vinay & Michayluk, David, 2016. "Return predictability following different drivers of large price changes," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 202-214.
    17. Taufiq Choudhry & Hao Wu, 2008. "Forecasting ability of GARCH vs Kalman filter method: evidence from daily UK time-varying beta," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(8), pages 670-689.
    18. Taufiq Choudhry & Ranadeva Jayasekera, 2015. "Level of efficiency in the UK equity market: empirical study of the effects of the global financial crisis," Review of Quantitative Finance and Accounting, Springer, vol. 44(2), pages 213-242, February.
    19. Hudson, Robert S. & Gregoriou, Andros, 2015. "Calculating and comparing security returns is harder than you think: A comparison between logarithmic and simple returns," International Review of Financial Analysis, Elsevier, vol. 38(C), pages 151-162.
    20. Taufiq Choudhry & Hao Wu, 2009. "Forecasting the weekly time-varying beta of UK firms: GARCH models vs. Kalman filter method," The European Journal of Finance, Taylor & Francis Journals, vol. 15(4), pages 437-444.

    More about this item

    Keywords

    Profit warnings; Market efficiency; Overreaction; Time-varying betas; Event-induced variance;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    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:kap:rqfnac:v:50:y:2018:i:1:d:10.1007_s11156-017-0623-3. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://springer.com .

    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.