which succeeds with high probability. -- Hedging ; superhedging ; Neyman Pearson lemma ; stochastic volatility ; value at …

We establish a relation between stochastic volatility models and the class of generalized hyperbolic distributions …

Stochastic Volatility (SV) models are widely used in financial applications. To decide whether standard parametric …

mean. For the volatility function, i.e., the conditional variance given the past, a multiplicative structure is more … appropriate than an additive one, as the volatility is a positive scale function and a multiplicative model provides a better … additive mean and the multiplicative volatility. The technique used is marginally integrated local polynomial estimation. The …

simultaneous estimation of the interdependent duration-volatility model. In an empirical application we utilize the model for an … indirect test of the hypothesis that volatility is caused by private information that affects prices when informed investors … trade. The result that volatility shocks significantly increase expected inter-transaction durations supports this …

This paper offers a new approach for estimation and forecasting of the volatility of financial time series. No … assumption is made about the parametric form of the processes, on the contrary we only suppose that the volatility can be … homogeneity, then the estimate of the volatility can be simply obtained by local averaging. We construct a locally adaptive …

Multivariate Volatility Models belong to the class of nonlinear models for financial data. Here we want to focus on …