Extreme Distribution of a Generalized Stochastic Volatility Model,
Résumé
We study the asymptotic behaviour of the extreme values of a stochastic volatility model when the noise follows a generalized error distribution extreme. We provide a Monte Carlo experiment to illustrate th choice of the assumptions. We deal also with the finite sample behaviour of the normalized maxima.
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