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On the Efficiency of Least Squares Regression with Security Abnormal Returns as the Dependent Variable

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  • Karafiath, Imre

Abstract

Monte Carlo procedures are used to compare the finite sample performance of several estimators that may be used in cross-sectional regressions with security abnormal returns as the dependent variable. Alternative models of event-induced increases in stock return variance are examined for the “event-clustering†scenario. Event clustering implies crosssectional correlation and heteroskedasticity in market model prediction errors, violating one of the fundamental ordinary least squares (OLS) assumptions (i.i.d. disturbances). Nonetheless, provided that the conditions for asymptotic validity derived by Greenwald (1983) are met, the OLS estimator is well specified in finite samples. Further, for sufficiently large cross sections there is no advantage to several other more complex estimators.

Suggested Citation

  • Karafiath, Imre, 1994. "On the Efficiency of Least Squares Regression with Security Abnormal Returns as the Dependent Variable," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 29(2), pages 279-300, June.
  • Handle: RePEc:cup:jfinqa:v:29:y:1994:i:02:p:279-300_00
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    1. Onur Enginar & Kazim Baris Atici, 2022. "Optimal forecast error as an unbiased estimator of abnormal return: A proposition," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(1), pages 158-166, January.
    2. Jiang Cheng & Elyas Elyasiani & Tzu‐Ting Lin, 2010. "Market Reaction to Regulatory Action in the Insurance Industry: The Case of Contingent Commission," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 77(2), pages 347-368, June.
    3. Hanson, Robert C. & Song, Moon H., 1998. "Shareholder wealth effects of free trade: U.S. and Mexican stock market response to nafta," International Review of Economics & Finance, Elsevier, vol. 7(2), pages 209-224.
    4. 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.
    5. Kenneth A. Carow & Glen A. Larsen Jr., 1997. "The Effect Of Fdicia Regulation On Bank Holding Companies," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 20(2), pages 159-174, June.
    6. Scott Besley & Ninon Kohers & Tanja Steigner, 2007. "Private placements of common equity and the industry rival response," Applied Financial Economics, Taylor & Francis Journals, vol. 17(7), pages 559-568.
    7. Davies, Ronald B. & Studnicka, Zuzanna, 2018. "The heterogeneous impact of Brexit: Early indications from the FTSE," European Economic Review, Elsevier, vol. 110(C), pages 1-17.
    8. Chay, J. B. & Marsden, Alastair, 1996. "Market reaction to the introduction of a foreign investor tax credit regime in New Zealand," Pacific-Basin Finance Journal, Elsevier, vol. 4(2-3), pages 129-152, July.
    9. Marisetty, Vijaya B. & Marsden, Alastair & Veeraraghavan, Madhu, 2008. "Price reaction to rights issues in the Indian capital market," Pacific-Basin Finance Journal, Elsevier, vol. 16(3), pages 316-340, June.
    10. Lee, Dong Wook & Park, Kyung Suh, 2009. "Does institutional activism increase shareholder wealth? Evidence from spillovers on non-target companies," Journal of Corporate Finance, Elsevier, vol. 15(4), pages 488-504, September.
    11. Nobuyoshi Yamori, 1999. "Stock Market Reaction to the Bank Liquidation in Japan: A Case for the Informational Effect Hypothesis," Journal of Financial Services Research, Springer;Western Finance Association, vol. 15(1), pages 57-68, February.
    12. Hamish D. Anderson & Lawrence C. Rose & Steven F. Cahan, 2004. "Odd‐lot Costs and Taxation Influences on Stock Dividend Ex‐dates," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 31(9‐10), pages 1419-1448, November.
    13. Carow, Kenneth A. & Lee, Winson B., 1997. "State passage of interstate banking legislation: An analysis of firm, legislative, and economic characteristics," Journal of Banking & Finance, Elsevier, vol. 21(7), pages 1017-1043, July.
    14. Daniel Celeny & Loic Mar'echal & Evgueni Rousselot & Alain Mermoud & Mathias Humbert, 2024. "Prioritizing Investments in Cybersecurity: Empirical Evidence from an Event Study on the Determinants of Cyberattack Costs," Papers 2402.04773, arXiv.org.
    15. Ana María Sabater & Joaquina Laffarga, 2004. "Comportamiento Diario Del Mercado Continuo Español Ante Un Evento Laboral: Un Analisis Empirico," Working Papers. Serie EC 2004-19, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    16. Carow, Kenneth A. & Kane, Edward J., 2002. "Event-study evidence of the value of relaxing long-standing regulatory restraints on banks, 1970-2000," The Quarterly Review of Economics and Finance, Elsevier, vol. 42(3), pages 439-463.
    17. Bruce C. Branson & Daryl M. Guffey & Donald P. Pagach, 1998. "Information Conveyed in Announcements of Analyst Coverage," Contemporary Accounting Research, John Wiley & Sons, vol. 15(2), pages 119-143, June.
    18. Arnold R. Cowan, 1996. "Convertible Exchangeable Preferred Stock," Finance 9606001, University Library of Munich, Germany, revised 12 Aug 1996.
    19. Purda, Lynnette D., 2005. "Mergers in the bond rating industry: does rating provider matter?," Journal of Multinational Financial Management, Elsevier, vol. 15(2), pages 155-169, April.

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