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The Siable-Law Model of Stock Returns
Authors:Vedat Akgiray  G Geoffrey Booth
Institution:1. Faculty of Economics and Finance , Clarkson University , Potsdam , NY , 13676;2. College of Business Administration, Louisiana State University , Baton Rouge , LA , 70803
Abstract:This study investigates the tail shapes of empirical distributions of returns on an extensive group of common stocks. The tails of the return distributions are found to be thinner than those of infinite variance stable distributions. Therefore, although homogeneity is evident in general, economic and statistical inferences drawn from stable-law parameters estimated from samples of stock returns may be misleading. This is in spite of the apparent overall similarity (in shape) between empirical and stable distributions.
Keywords:Asymmetric distribution  Goodness of fit  Tail shape  Generalized Pareto distribution
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