We introduce new quantile estimators with adaptive importance sampling. The adaptive estimators are based on weighted samples that are neither independent nor identically distributed. Using the law of iterated logarithm for martingales, we prove the convergence of the adaptive quantile...

The evaluation of the likelihood function of the stochastic conditional duration model requires to compute an integral that has the dimension of the sample size. We apply the efficient importance sampling method for computing this integral. We compare EIS-based ML estimation with QML estimation...

We study the influence of systematic probability misestimation on complexfinancial investment decisions on the context of structured financialproducts. Structured products have in recent years become more and morecomplex. We study the question whether this complexity might be a...

Evolutionary nance studies the dynamic interaction of investment strategies in nancialmarkets. This market interaction generates a stochastic wealth dynamics on aheterogenous population of traders through the uctuation of asset prices and theirrandom payos. Asset prices are endogenously...