Article Abstract:
The estimators introduced by Scholes and Williams (1977) and Dimson (1979) to adjust biased OLS beta estimates resulting from infrequent stock trading are applied to Canadian stocks. Thin trading at the Toronto Stock Exchange (TSE) produce biased estimates which generate changes in the distribution of estimated residuals. A beta adjustment model is developed that incorporates the effects of the process that produces true betas for TSE stocks and the effects of infrequent trading. This model is described.
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Article Abstract:
Previous studies have investigated the monthly seasonality of the stock market, but few have concentrated on its international aspects. The research that focuses on the world perspective has failed to take into consideration the effects of exchange rates, trading costs, and international diversification. An examination of all these factors reveals that monthly seasonality is unquestionably present in the world portfolio.
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Article Abstract:
An empirical study investigating the relative efficiencies of robust estimation of beta coefficients from a small stock markets such as the Johannesburg Stock Exchange is presented. Results suggest that robust estimators are more efficient than squares (OLS) estimators as the use of the latter may lead to inaccurate estimates of beta coefficients and over-estimates of traded securities.
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