The history of applying statistical simultaneous inference methods to a financial problem of mutual fund performance evaluation is very short. A major problem in applying simultaneous inference methods is the non-trivial dependence among the utilized test statistics. When the number of tests is...

We consider a stochastic volatility stock price model in which the volatility is a non-centered continuous Gaussian process with arbitrary prescribed mean and covariance. By exhibiting a Karhunen-Lo\`{e}ve expansion for the integrated variance, and using sharp estimates of the density of a...

We treat the problem of option pricing under the Stochastic Volatility (SV) model: the volatility of the underlying asset is a function of an exogenous stochastic process, typically assumed to be meanreverting. Assuming that only discrete past stock information is available, we adapt an...