IDEAS home Printed from https://ideas.repec.org/a/eee/riibaf/v41y2017icp445-460.html
   My bibliography  Save this article

Accounting quality, information risk and the term structure of implied volatility around earnings announcements

Author

Listed:
  • Anagnostopoulou, Seraina C.
  • Tsekrekos, Andrianos E.

Abstract

We examine the association between accounting quality, which is used as a proxy for firm information risk, and the behavior of the term structure of implied option volatility around earnings announcements. By employing a large sample of US firms having options traded on their equity during 1996–2010, we find that lower (higher) accounting quality is significantly associated with stronger (weaker) changes in the steepness of the term structure of implied volatility curve around quarterly earnings announcements. This finding (which is robust to controls for business-stemming uncertainty regarding future firm performance) is consistent with a stronger differential of short vs. long-term uncertainty for higher information risk firms, indicating greater uncertainty on the future economic performance of poorer vs. stronger accounting quality firms. We also establish the trading implications of these findings by demonstrating a (profitable in-sample) self-financed option trading strategy that is based on the quality of the accounting information released on earnings announcement days.

Suggested Citation

  • Anagnostopoulou, Seraina C. & Tsekrekos, Andrianos E., 2017. "Accounting quality, information risk and the term structure of implied volatility around earnings announcements," Research in International Business and Finance, Elsevier, vol. 41(C), pages 445-460.
    • Handle: RePEc:eee:riibaf:v:41:y:2017:i:c:p:445-460
    DOI: 10.1016/j.ribaf.2017.04.046
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0275531917301435
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ribaf.2017.04.046?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. Ľuboš Pástor & Veronesi Pietro, 2003. "Stock Valuation and Learning about Profitability," Journal of Finance, American Finance Association, vol. 58(5), pages 1749-1789, October.
    2. Lubos PÁstor & Veronesi Pietro, 2003. "Stock Valuation and Learning about Profitability," Journal of Finance, American Finance Association, vol. 58(5), pages 1749-1790, October.
    3. Tanha, Hassan & Dempsey, Michael, 2015. "The asymmetric response of volatility to market changes and the volatility smile: Evidence from Australian options," Research in International Business and Finance, Elsevier, vol. 34(C), pages 164-176.
    4. Wei, Steven X. & Zhang, Chu, 2003. "Statistical and economic significance of stock return predictability: a mean-variance analysis," Journal of Multinational Financial Management, Elsevier, vol. 13(4-5), pages 443-463, December.
    5. Rajgopal, Shiva & Venkatachalam, Mohan, 2011. "Financial reporting quality and idiosyncratic return volatility," Journal of Accounting and Economics, Elsevier, vol. 51(1-2), pages 1-20, February.
    6. Rajgopal, Shiva & Venkatachalam, Mohan, 2011. "Financial reporting quality and idiosyncratic return volatility," Journal of Accounting and Economics, Elsevier, vol. 51(1), pages 1-20.
    7. Chalamandaris, Georgios & Tsekrekos, Andrianos E., 2011. "How important is the term structure in implied volatility surface modeling? Evidence from foreign exchange options," Journal of International Money and Finance, Elsevier, vol. 30(4), pages 623-640, June.
    8. Francis, Jennifer & LaFond, Ryan & Olsson, Per & Schipper, Katherine, 2005. "The market pricing of accruals quality," Journal of Accounting and Economics, Elsevier, vol. 39(2), pages 295-327, June.
    9. Rogers, Jonathan L. & Skinner, Douglas J. & Van Buskirk, Andrew, 2009. "Earnings guidance and market uncertainty," Journal of Accounting and Economics, Elsevier, vol. 48(1), pages 90-109, October.
    10. Dan Dhaliwal & Vic Naiker & Farshid Navissi, 2010. "The Association Between Accruals Quality and the Characteristics of Accounting Experts and Mix of Expertise on Audit Committees," Contemporary Accounting Research, John Wiley & Sons, vol. 27(3), pages 787-827, September.
    11. Koutmos, Dimitrios, 2016. "Distilling private information from plain-vanilla options to predict future underlying stock price volatility: Evidence from the H-shares of Chinese banks," Research in International Business and Finance, Elsevier, vol. 37(C), pages 391-405.
    12. Latane, Henry A & Rendleman, Richard J, Jr, 1976. "Standard Deviations of Stock Price Ratios Implied in Option Prices," Journal of Finance, American Finance Association, vol. 31(2), pages 369-381, May.
    13. Truong, Cameron & Corrado, Charles & Chen, Yangyang, 2012. "The options market response to accounting earnings announcements," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(3), pages 423-450.
    14. Mixon, Scott, 2009. "Option markets and implied volatility: Past versus present," Journal of Financial Economics, Elsevier, vol. 94(2), pages 171-191, November.
    15. Taylor, Stephen J. & Yadav, Pradeep K. & Zhang, Yuanyuan, 2010. "The information content of implied volatilities and model-free volatility expectations: Evidence from options written on individual stocks," Journal of Banking & Finance, Elsevier, vol. 34(4), pages 871-881, April.
    16. Huang, Alan Guoming, 2009. "The cross section of cashflow volatility and expected stock returns," Journal of Empirical Finance, Elsevier, vol. 16(3), pages 409-429, June.
    17. Heynen, Ronald & Kemna, Angelien & Vorst, Ton, 1994. "Analysis of the Term Structure of Implied Volatilities," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 29(1), pages 31-56, March.
    18. Xu, Xinzhong & Taylor, Stephen J., 1994. "The Term Structure of Volatility Implied by Foreign Exchange Options," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 29(1), pages 57-74, March.
    19. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
    20. Bernard Dumas & Jeff Fleming & Robert E. Whaley, 1998. "Implied Volatility Functions: Empirical Tests," Journal of Finance, American Finance Association, vol. 53(6), pages 2059-2106, December.
    21. Jeong†Bon Kim & Liandong Zhang, 2014. "Financial Reporting Opacity and Expected Crash Risk: Evidence from Implied Volatility Smirks," Contemporary Accounting Research, John Wiley & Sons, vol. 31(3), pages 851-875, September.
    22. Campa, Jose Manuel & Chang, P H Kevin, 1995. "Testing the Expectations Hypothesis on the Term Structure of Volatilities in Foreign Exchange Options," Journal of Finance, American Finance Association, vol. 50(2), pages 529-547, June.
    23. Anagnostopoulou, Seraina C. & Tsekrekos, Andrianos E., 2015. "Accounting quality, information risk and implied volatility around earnings announcements," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 188-207.
    24. Donders, Monique W. M. & Vorst, Ton C. F., 1996. "The impact of firm specific news on implied volatilities," Journal of Banking & Finance, Elsevier, vol. 20(9), pages 1447-1461, November.
    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. Anagnostopoulou, Seraina C. & Tsekrekos, Andrianos E., 2015. "Accounting quality, information risk and implied volatility around earnings announcements," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 188-207.
    2. Sudarshan Kumar & Sobhesh Kumar Agarwalla & Jayanth R. Varma & Vineet Virmani, 2023. "Harvesting the volatility smile in a large emerging market: A Dynamic Nelson–Siegel approach," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 43(11), pages 1615-1644, November.
    3. Rohini Grover & Susan Thomas, 2012. "Liquidity Considerations in Estimating Implied Volatility," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 32(8), pages 714-741, August.
    4. Ghysels, E. & Harvey, A. & Renault, E., 1995. "Stochastic Volatility," Papers 95.400, Toulouse - GREMAQ.
    5. Jiang, George J. & Tian, Yisong S., 2010. "Misreaction or misspecification? A re-examination of volatility anomalies," Journal of Banking & Finance, Elsevier, vol. 34(10), pages 2358-2369, October.
    6. Truong, Cameron & Corrado, Charles & Chen, Yangyang, 2012. "The options market response to accounting earnings announcements," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(3), pages 423-450.
    7. Cifarelli, giulio, 2002. "The information content of implied volatilities of options on eurodeposit futures traded on the LIFFE: is there long memory?," MPRA Paper 28538, University Library of Munich, Germany.
    8. Kearney, Fearghal & Shang, Han Lin & Sheenan, Lisa, 2019. "Implied volatility surface predictability: The case of commodity markets," Journal of Banking & Finance, Elsevier, vol. 108(C).
    9. Ahmad Ibrahim Karajeh & Mohd Yussoff B. Ibrahim, 2017. "Impact of Audit Committee on the Association Between Financial Reporting Quality and Shareholder Value," International Journal of Economics and Financial Issues, Econjournals, vol. 7(3), pages 14-19.
    10. Lim, Terence & Lo, Andrew W. & Merton, Robert C. & Scholes, Myron S., 2006. "The Derivatives Sourcebook," Foundations and Trends(R) in Finance, now publishers, vol. 1(5–6), pages 365-572, April.
    11. Kryzanowski, Lawrence & Mohsni, Sana, 2015. "Earnings forecasts and idiosyncratic volatilities," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 107-123.
    12. Jin Zhang & Yi Xiang, 2008. "The implied volatility smirk," Quantitative Finance, Taylor & Francis Journals, vol. 8(3), pages 263-284.
    13. Thaddeus Neururer & George Papadakis & Edward J. Riedl, 2016. "Tests of investor learning models using earnings innovations and implied volatilities," Review of Accounting Studies, Springer, vol. 21(2), pages 400-437, June.
    14. Bravo, Francisco, 2016. "Forward-looking disclosure and corporate reputation as mechanisms to reduce stock return volatility," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 19(1), pages 122-131.
    15. Chalamandaris, Georgios & Tsekrekos, Andrianos E., 2010. "Predictable dynamics in implied volatility surfaces from OTC currency options," Journal of Banking & Finance, Elsevier, vol. 34(6), pages 1175-1188, June.
    16. Shahzad, Farrukh & Fareed, Zeeshan & Wang, Zhenkun & Shah, Syed Ghulam Meran, 2020. "Do idiosyncratic risk, market risk, and total risk matter during different firm life cycle stages?," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
    17. ElBannan, Mona A., 2021. "On the prediction of financial distress in emerging markets: What matters more? Empirical evidence from Arab spring countries," Emerging Markets Review, Elsevier, vol. 47(C).
    18. Sati P. Bandyopadhyay & Alan Guoming Huang & Kevin Jialin Sun & Tony S. Wirjanto, 2017. "The return premiums to accruals quality," Review of Quantitative Finance and Accounting, Springer, vol. 48(1), pages 83-115, January.
    19. Aabo, Tom & Pantzalis, Christos & Sørensen, Helle & Toustrup, Malene Teilmann, 2016. "Corporate risk and external sourcing: A study of Scandinavian multinational firms," International Business Review, Elsevier, vol. 25(6), pages 1297-1308.
    20. Chen, Ying & Han, Qian & Niu, Linlin, 2018. "Forecasting the term structure of option implied volatility: The power of an adaptive method," Journal of Empirical Finance, Elsevier, vol. 49(C), pages 157-177.

    More about this item

    Keywords

    Accounting quality; Information risk; Term structure of implied volatility; Earnings announcements;
    All these keywords.

    JEL classification:

    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting

    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:eee:riibaf:v:41:y:2017:i:c:p:445-460. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ribaf .

    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.