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

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  • 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
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    References listed on IDEAS

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    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. Firuze Simay SEZGIN & Caner ÖZDURAK, 2023. "Are Crypto Assets Connected to Real World Shocks? The Nexus Between Terrorist Attacks, Bitcoin and NFTs," Journal of Economic Policy Researches, Istanbul University, Faculty of Economics, vol. 10(1), pages 113-132, January.
    5. 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.
    6. 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.
    7. 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.
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    9. 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.

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    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

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