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Beta Estimation in Indian Stock Markets - Some Issues

Author

Listed:
  • Mihir Dash

Abstract

This study examines the reliability of the OLS beta estimates in Indian stock markets by considering the residual characteristics of the market model regressions. The statistics used include the coefficient of determination (R2), the F-test for significance of the regression coefficient, the Durbin-Watson test for serial autocorrelation, the residual autocorrelation function, the Kolmogorov-Smirnov and Shapiro-Wilk tests for normality of the residuals, the presence of outliers, and White’s test for heteroskedasticity.The results of the study indicate some serious issues afflicting beta estimation in Indian stock markets, including- non-normality of stock returns and of residuals, extreme standardized residual values, heteroskedasticity, residual autocorrelation, and low R2. Thus, the simple market model is likely to result in biased estimates for beta in Indian stock markets.

Suggested Citation

  • Mihir Dash, 2015. "Beta Estimation in Indian Stock Markets - Some Issues," Asian Journal of Finance & Accounting, Macrothink Institute, vol. 7(2), pages 2334-2334, December.
    • Handle: RePEc:mth:ajfa88:v:7:y:2015:i:2:p:2334
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    References listed on IDEAS

    as
    1. Seth Armitage & Janusz Brzeszczynski, 2011. "Heteroscedasticity and interval effects in estimating beta: UK evidenceÂ," CFI Discussion Papers 1103, Centre for Finance and Investment, Heriot Watt University.
    2. Seth Armitage & Janusz Brzeszczynski, 2011. "Heteroscedasticity and interval effects in estimating beta: UK evidence," Applied Financial Economics, Taylor & Francis Journals, vol. 21(20), pages 1525-1538.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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