IDEAS home Printed from https://ideas.repec.org/a/kap/rqfnac/v42y2014i2p171-189.html
   My bibliography  Save this article

The influence of systematic risk factors and econometric adjustments in catastrophic event studies

Author

Listed:
  • Marie-Anne Cam
  • Vikash Ramiah

Abstract

Event study methodology is a well-accepted technique in finance. Although its application is popular, there have not been many critical assessments of this practice. For instance, in the estimation process, the researcher has to make a choice in terms of which asset pricing model to adopt when calculating expected returns. Different expected return models and financial econometrics adjustments may give rise to different results. This study explores seven commonly employed approaches. Using terrorist attacks and the subprime crisis as events, we calculate abnormal returns with different expected return techniques and then assess if there is a change in the result. Our evidence shows that the results vary according to the choice of the technique in estimating an expected return. Copyright Springer Science+Business Media New York 2014

Suggested Citation

  • 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.
    • Handle: RePEc:kap:rqfnac:v:42:y:2014:i:2:p:171-189
    DOI: 10.1007/s11156-012-0338-4
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11156-012-0338-4
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11156-012-0338-4?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. Brown, Stephen J. & Warner, Jerold B., 1985. "Using daily stock returns : The case of event studies," Journal of Financial Economics, Elsevier, vol. 14(1), pages 3-31, March.
    2. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    3. Turan G. Bali & Panayiotis Theodossiou, 2008. "Risk Measurement Performance of Alternative Distribution Functions," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 75(2), pages 411-437, June.
    4. Marie-Anne Cam, 2008. "The Impact Of Terrorism On United States Industries," Economic Papers, The Economic Society of Australia, vol. 27(2), pages 115-134, June.
    5. Cable, John & Holland, Kevin, 2000. "Robust vs. OLS estimation of the market model: implications for event studies," Economics Letters, Elsevier, vol. 69(3), pages 385-391, December.
    6. 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.
    7. Ramiah, Vikash & Cam, Marie-Anne & Calabro, Michael & Maher, David & Ghafouri, Shahab, 2010. "Changes in equity returns and volatility across different Australian industries following the recent terrorist attacks," Pacific-Basin Finance Journal, Elsevier, vol. 18(1), pages 64-76, January.
    8. Corrado, Charles J. & Zivney, Terry L., 1992. "The Specification and Power of the Sign Test in Event Study Hypothesis Tests Using Daily Stock Returns," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 27(3), pages 465-478, September.
    9. Ball, R & Brown, P, 1968. "Empirical Evaluation Of Accounting Income Numbers," Journal of Accounting Research, Wiley Blackwell, vol. 6(2), pages 159-178.
    10. Bali, Turan G. & Mo, Hengyong & Tang, Yi, 2008. "The role of autoregressive conditional skewness and kurtosis in the estimation of conditional VaR," Journal of Banking & Finance, Elsevier, vol. 32(2), pages 269-282, February.
    11. Campbell, Cynthia J. & Wesley, Charles E., 1993. "Measuring security price performance using daily NASDAQ returns," Journal of Financial Economics, Elsevier, vol. 33(1), pages 73-92, February.
    12. Hamill, Philip A. & Opong, Kwaku K. & McGregor, Pat, 2002. "Equity option listing in the UK: a comparison of market-based research methodologies," Journal of Empirical Finance, Elsevier, vol. 9(1), pages 91-108, January.
    13. Brown, Stephen J. & Warner, Jerold B., 1980. "Measuring security price performance," Journal of Financial Economics, Elsevier, vol. 8(3), pages 205-258, September.
    14. David Chappell & Robert Eldridge, 2000. "Evidence of market inefficiency in a war environment," Applied Financial Economics, Taylor & Francis Journals, vol. 10(5), pages 489-492.
    15. A. Craig MacKinlay, 1997. "Event Studies in Economics and Finance," Journal of Economic Literature, American Economic Association, vol. 35(1), pages 13-39, March.
    16. Binder, John J, 1998. "The Event Study Methodology since 1969," Review of Quantitative Finance and Accounting, Springer, vol. 11(2), pages 111-137, September.
    17. Turan Bali & Panayiotis Theodossiou, 2007. "A conditional-SGT-VaR approach with alternative GARCH models," Annals of Operations Research, Springer, vol. 151(1), pages 241-267, April.
    18. 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.
    19. Ronald Bremer & Bonnie Buchanan & Philip English, 2011. "The advantages of using quarterly returns for long-term event studies," Review of Quantitative Finance and Accounting, Springer, vol. 36(4), pages 491-516, May.
    20. Fama, Eugene F, et al, 1969. "The Adjustment of Stock Prices to New Information," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 10(1), pages 1-21, February.
    21. Turan Bali, 2007. "Modeling the dynamics of interest rate volatility with skewed fat-tailed distributions," Annals of Operations Research, Springer, vol. 151(1), pages 151-178, April.
    22. Bali, Turan G., 2000. "Testing the Empirical Performance of Stochastic Volatility Models of the Short-Term Interest Rate," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 35(2), pages 191-215, June.
    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. Panayiotis C. Andreou & Christodoulos Louca & Christos S. Savva, 2016. "Short-horizon event study estimation with a STAR model and real contaminated events," Review of Quantitative Finance and Accounting, Springer, vol. 47(3), pages 673-697, October.
    2. Ding Ding & Chong Guan & Calvin M. L. Chan & Wenting Liu, 2020. "Building stock market resilience through digital transformation: using Google trends to analyze the impact of COVID-19 pandemic," Frontiers of Business Research in China, Springer, vol. 14(1), pages 1-21, December.
    3. 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.
    4. Almaqableh, Laith & Reddy, Krishna & Pereira, Vijay & Ramiah, Vikash & Wallace, Damien & Francisco Veron, Jose, 2022. "An investigative study of links between terrorist attacks and cryptocurrency markets," Journal of Business Research, Elsevier, vol. 147(C), pages 177-188.
    5. Balan Sundarakani & Okey Peter Onyia, 2021. "Fast, furious and focused approach to Covid-19 response: an examination of the financial and business resilience of the UAE logistics industry," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 26(4), pages 237-258, December.
    6. Vikash Ramiah & Jacopo Pichelli & Imad Moosa, 2015. "The Effects of Environmental Regulation on Corporate Performance: A Chinese Perspective," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 18(04), pages 1-31, December.
    7. Yun Shen & Damien Wallace & Krishna Reddy & Vikash Ramiah, 2022. "An investigation of CEO characteristics on firm performance," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 62(3), pages 3563-3607, September.
    8. Chong Guan & Wenting Liu & Jack Yu-Chao Cheng, 2022. "Using Social Media to Predict the Stock Market Crash and Rebound amid the Pandemic: The Digital ‘Haves’ and ‘Have-mores’," Annals of Data Science, Springer, vol. 9(1), pages 5-31, February.

    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. Corrado, Charles J. & Truong, Cameron, 2008. "Conducting event studies with Asia-Pacific security market data," Pacific-Basin Finance Journal, Elsevier, vol. 16(5), pages 493-521, November.
    2. Kanungo, Rama Prasad, 2021. "Uncertainty of M&As under asymmetric estimation," Journal of Business Research, Elsevier, vol. 122(C), pages 774-793.
    3. Yan Zeng & Josie McLaren, 2015. "The impact of large public sales of Government assets: empirical evidence from the Chinese stock markets on a gradual and offer-to-get approach," Review of Quantitative Finance and Accounting, Springer, vol. 45(1), pages 137-173, July.
    4. Kothari, S. P., 2001. "Capital markets research in accounting," Journal of Accounting and Economics, Elsevier, vol. 31(1-3), pages 105-231, September.
    5. Wijayana, Singgih & Gray, Sidney J., 2018. "Capital market consequences of cultural influences on earnings: The case of cross-listed firms in the U.S. stock market," International Review of Financial Analysis, Elsevier, vol. 57(C), pages 134-147.
    6. Konchitchki, Yaniv & O'Leary, Daniel E., 2011. "Event study methodologies in information systems research," International Journal of Accounting Information Systems, Elsevier, vol. 12(2), pages 99-115.
    7. Florian Manz & Birgit Müller & Dirk Schiereck, 2020. "The pricing of European non-performing real estate loan portfolios: evidence on stock market evaluation of complex asset sales," Journal of Business Economics, Springer, vol. 90(7), pages 1087-1120, August.
    8. Bayly, Nicholas & Breunig, Robert & Wokker, Chris, 2023. "Female Board Representation and Corporate Performance: A Review and New Estimates for Australia," IZA Discussion Papers 16617, Institute of Labor Economics (IZA).
    9. 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).
    10. Koppenberg, Maximilian & Hirsch, Stefan & Finger, Robert, 2023. "Effects of the debate on glyphosate's carcinogenic risk on pesticide producers' share prices," Ecological Economics, Elsevier, vol. 212(C).
    11. Sebastien Bradley & Estelle Dauchy & Makoto Hasegawa, 2018. "Investor valuations of Japan’s adoption of a territorial tax regime: quantifying the direct and competitive effects of international tax reform," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 25(3), pages 581-630, June.
    12. David M. Goldberg & Jason K. Deane & Terry R. Rakes & Loren Paul Rees, 2022. "3D Printing Technology and the Market Value of the Firm," Information Systems Frontiers, Springer, vol. 24(4), pages 1379-1392, August.
    13. Omer Ahmed Sayed & Hussein Eledum, 2023. "The short‐run response of Saudi Arabia stock market to the outbreak of COVID‐19 pandemic: An event‐study methodology," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 2367-2381, July.
    14. Nicolau, Juan Luis & Sharma, Abhinav, 2022. "A review of research into drivers of firm value through event studies in tourism and hospitality: Launching the Annals of Tourism Research curated collection on drivers of firm value through event stu," Annals of Tourism Research, Elsevier, vol. 95(C).
    15. Kiesel, Florian & Ries, Jörg M. & Tielmann, Artur, 2017. "Reprint of “The impact of mergers and acquisitions on shareholders' wealth in the logistics service industry”," International Journal of Production Economics, Elsevier, vol. 194(C), pages 261-277.
    16. Ana Paula Serra, 2002. "Event Study Tests: A brief survey," FEP Working Papers 117, Universidade do Porto, Faculdade de Economia do Porto.
    17. Ranjeeni, Kumari, 2014. "Sectoral and industrial performance during a stock market crisis," Economic Systems, Elsevier, vol. 38(2), pages 178-193.
    18. Jason K. Deane & David M. Goldberg & Terry R. Rakes & Loren P. Rees, 2019. "The effect of information security certification announcements on the market value of the firm," Information Technology and Management, Springer, vol. 20(3), pages 107-121, September.
    19. Al-Ississ Mohamad, 2015. "The Cross-Border Impact of Political Violence," Peace Economics, Peace Science, and Public Policy, De Gruyter, vol. 21(2), pages 239-272, April.
    20. Zhang, Zhichao & Li, He & Zhang, Chuanjie, 2017. "Oral intervention in China: Efficacy of Chinese exchange rate communications," International Review of Financial Analysis, Elsevier, vol. 49(C), pages 24-34.

    More about this item

    Keywords

    Abnormal returns; Event study; Asset pricing models; GARCH; G1; G11; H56;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • H56 - Public Economics - - National Government Expenditures and Related Policies - - - National Security and War

    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:42:y:2014:i:2:p:171-189. 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.