Testing for differences in the tails of stock-market returns
In this paper, we use a database consisting of daily stock-index returns for 20 countries to test for similarities between the left and right tail of returns as well as for cross-sectional differences. To mitigate the issue of dependency between stock returns, we estimate the distribution of extremes over subsamples of two months. We document a good fit of the model and show that the left and right tails of returns behave very similarly. Across countries, we find that extremes are located at different levels and that their dispersion varies. On the other hand, the tail index, charactering large extreme realizations is found to be constant worldwide. Our results are not due to a lack of power. We also discuss the results from an economic point of view.
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