Physics – Condensed Matter
Scientific paper
2001-03-12
Int. J. Modern Physics C, Vol. 12, No. 2 (2001) 209-223
Physics
Condensed Matter
To be published in Int. J. Modern Physics C (2001) vol. 12 no. 2
Scientific paper
Power-law tail behavior and the summation scheme of Levy-stable distributions is the basis for their frequent use as models when fat tails above a Gaussian distribution are observed. However, recent studies suggest that financial asset returns exhibit tail exponents well above the Levy-stable regime ($0<\alpha\le 2$). In this paper we illustrate that widely used tail index estimates (log-log linear regression and Hill) can give exponents well above the asymptotic limit for $\alpha$ close to 2, resulting in overestimation of the tail exponent in finite samples. The reported value of the tail exponent $\alpha$ around 3 may very well indicate a Levy-stable distribution with $\alpha\approx 1.8$.
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