A contribution to the systematics of stochastic volatility models

Economy – Quantitative Finance – Statistical Finance

Scientific paper

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15 pages, no figures

Scientific paper

10.1016/j.physa.2010.03.044

We compare systematically several classes of stochastic volatility models of stock market fluctuations. We show that the long-time return distribution is either Gaussian or develops a power-law tail, while the short-time return distribution has generically a stretched-exponential form, but can assume also an algebraic decay, in the family of models which we call ``GARCH''-type. The intermediate regime is found in the exponential Ornstein-Uhlenbeck process. We calculate also the decay of the autocorrelation function of volatility.

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