Estimation of global systematic risk for securities listed in multiple markets
Doctor of Philosophy (PhD)
First Advisor's Name
Arun J. Prakash
First Advisor's Committee Title
Second Advisor's Name
Maria E. de Boyrie
Third Advisor's Name
Fourth Advisor's Name
Date of Defense
The market model is the most frequently estimated model in financial economics and has proven extremely useful in the estimation of systematic risk. In this era of rapid globalization of financial markets there has been a substantial increase in cross listings of stocks in foreign and regional capital markets. As many as a third to a half of the stocks in some major exchanges are foreign listed. The multiple listings of stocks has major implications for the estimation of systematic risk. The traditional method of estimating the market model by using data from only one market will lead to misleading estimates of beta. This study demonstrates that the estimator for systematic risk and the methodology itself changes when stocks are listed in multiple markets. General expressions are developed to obtain the estimator of global beta under a variety of assumptions about the error terms of the market models for different capital markets. The assumptions pertain both to the volatilities of the abnormal returns in each market, and to the relationship between the markets.
Explicit expressions are derived for the estimation of global systematic risk beta when the returns are homoscedastic and also under different heteroscedastic conditions both within and/or between markets. These results for the estimation of global beta are further extended when return generating process follows an autoregressive scheme
Ghai, Gauri L., "Estimation of global systematic risk for securities listed in multiple markets" (1998). FIU Electronic Theses and Dissertations. 3925.
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