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Levels of significance in event studies

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Abstract

Standard event-study methods compare the returns in the window with forecasted values based on a benchmark period. These methods fail to account for the fact that errors in parameter estimates in the benchmark period give serially correlated errors in the window's abnormal returns. This is true both of mean-adjusted returns and market-model adjusted returns. This oversight leads to overstatement of significance levels, the degree of overstatement varying positively with the ratio of periods in the window to periods in the benchmark period. Sometimes the overstatement is minimal, but it can be substantial if the window is large relative to the benchmark period.

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References

  • Binder, J., “Measuring the Effects of Regulation with Stock Price Data,Rand Journal of Economics 16, 167–183 (Summer 1985a).

    Article  Google Scholar 

  • Binder, J., “On the Use of the Multivariate Regression Model in Event Studies,”Journal of Accounting Research 23, 408–415 (Spring 1985a).

    Google Scholar 

  • Brown, S. and J. Warner, “Measuring Security Price Performance,”Journal of Financial Economics 8, 205–258 (September 1980).

    Article  Google Scholar 

  • Brown, S. and J. Warner, “Using Daily Stock Returns: The Case of Event Studies,”Journal of Financial Economics 14, 3–31 (March 1985).

    Article  Google Scholar 

  • Chalk, A., “Market Forces and Aircraft Safety: The Case of the DC-10,”Economic Inquiry 24, 43–60 (January 1986).

    Article  Google Scholar 

  • Copeland, T.E. and D. Mayers, “The Value Line Enigma (1965–1978): A Case Study of Performance Evaluation Errors,”Journal of Financial Economics 10, 289–321 (1982).

    Article  Google Scholar 

  • DeAngelo, H., L. DeAngelo, and E.M. Rice, “Going Private: Minority Freezeouts and Stockholder Wealth,”Journal of Law and Economics 27, 367–401 (October 1984).

    Article  Google Scholar 

  • Eberhart, A. and R.J. Sweeney, “Does The Bond Market Predict Bankruptcy Settlements?”, School of Business Administration, Georgetown University, Washington, DC, 1991.

    Google Scholar 

  • Fama, E.F., L. Fisher, M. Jensen, and R. Roll, “The Adjustment of Stock Prices to New Information,”International Economic Review 10, 1–21 (1969).

    Google Scholar 

  • Karafiath, I. and D. Spencer, “Statistical Inference in Multiperiod Event Studies,”Review of Quantitative Finance and Accounting 1, 353–371 (1991).

    Google Scholar 

  • Malatesta, P., “Measuring Abnormal Performance: The Event Approach Using Joint Generalized Least Squares,”Journal of Financial and Quantitative Analysis 21, 27–38 (1986).

    Article  Google Scholar 

  • Masulis, R.W., “The Effects of Capital Structure Changes on Security Prices,”Journal of Financial Economics 8, 139–178 (1980).

    Article  Google Scholar 

  • Mikkelson, W.H. and M.M. Partch, “Withdrawn Securities Offerings,”Journal of Financial and Quantitative Analysis 23, 119–133 (June 1988).

    Article  Google Scholar 

  • Salinger, M., “Standard Errors in Event Studies,” working paper, College of Business, Boston University, Boston, MA, 1991.

    Google Scholar 

  • Schipper, K. and R. Thompson, “The Impact of Merger-Related Regulations on the Shareholders of Acquiring Firms,”Journal of Accounting Research 21, 184–221 (1983).

    Google Scholar 

  • Schipper, K. and R. Thompson, “The Impact of Merger-Related Regulation Using Exact Distributions of Test Statistics,”Journal of Accounting Research 23, 408–415 (Spring 1985).

    Google Scholar 

  • Surajaras, P. and R.J. Sweeney,Profit-Making Speculation in Foreign Exchange Markets, Boulder, CO, Westview Press, 1991 (forthcoming).

    Google Scholar 

  • Sweeney, R.J., “Beating the Foreign Exchange Market,”Journal of Finance 41, 163–182 (March 1986).

    Google Scholar 

  • Sweeney, R.J., “Come New Filter Rule Tests: Methods and Results,”Journal of Financial and Quantitative Analysis 23, 285–300 (September 1988).

    Article  Google Scholar 

  • Sweeney, R.J. “Testing Portfolio Performance with Observable Asset Weight,” School of Business Administration, Georgetown University, Washington, DC, 1991.

    Google Scholar 

Download references

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Sweeney, R.J. Levels of significance in event studies. Rev Quant Finan Acc 1, 373–382 (1991). https://doi.org/10.1007/BF02408397

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