In recent years, numerous volatility-based derivative products have been engineered. This has led to interest in constructing conditional predictive densities and confidence intervals for integrated volatility. In this paper, we propose nonparametric kernel estimators of the aforementioned...

This paper analyzes the special features of electricity spot prices derived from the physics of this commodity and from the economics of supply and demand in a market pool. Besides mean-reversion, a property they share with other commodities, power prices exhibit the unique feature of spikes in...

Stochastic models of electricity prices have been used extensively during the last few years to describe prices fluctuations in deregulated power markets. Regime-switching models seem good candidates to capture the main features of electricity prices dynamics as the mean-reversion property as...

This paper introduces a family of recursively defined estimators of the parameters of a diffusion process. We use ideas of stochastic algorithms for the construction of the estimators. Asymptotic consistency of these estimators and asymptotic normality of an appropriate normalization are proved....

We derive analytical valuation formulas for compound options when the underlying asset follows a jump-diffusion process. We then apply these results to value extendible options, American call options on stocks that follow jump-diffusion processes and pay discrete dividends, and American options...