We compare the dynamics of the Forex in the vicinity of a crash and far from it. We found that in both cases the stochastic dynamics of exchange rates is strongly non-Gaussian. For example, we observed that EUR/USD rate statistics obeys almost a cubic law with Pareto index increasing toward the crash. Our study is supported by analysis of the most probable losses, which increase toward the crash as it was expected. Our project is to consider the rate dynamics on the basic of more microscopic models, which produce tails fatter than the Levy algebraic tail.

1. POSTER: Non-Gaussian statistics on the Forex, PDF document, version 1.4, 0.2MB

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