regression model. Asymptotic distribution theory is developed for the estimation method which enjoys the same rate of convergence … as univariate function estimation. For the test statistic, asymptotic normal theory is established. These theoretical …We propose marginal integration estimation and testing methods for the coefficients of varying coefficient multivariate …

VaR models are related to statistical forecast systems. Within that framework different forecast tasks including Value-at-Risk …

This paper presents a general theory that works out the relation between coherent risk measures, valuation bounds, and … theory presented seems to fill a gap between arbitrage valuation on the one hand and single agent utility maximization or … full-fledged equilibrium theory on the other hand. "Coherent" valuation bounds strike a balance in that the bounds can be …

We introduce a new method for the estimation of discount functions, yield curves and forward curves from government … although we do show how to impose various restrictions in the estimation. Our method is based on Kernel smoothing and is … our estimation procedure is iterative, rather like the backfitting method of estimating non-parametric models. We …