with nonparametric estimation of the pricing kernel (Empirical Pricing Kernel) given by the ratio of the risk … estimated nonparametrically too. In this framework, we develop the asymptotic distribution theory of the EPK in the L1 sense …, as an alternative to the asymptotic approach, we propose a bootstrap confidence band. The developed theory is helpful for …

of computational burden and estimation error. First the number of correlation coefficients to be estimated would grow …

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 …

problem of online estimation of current values of w = w(T) and a = a(T) from the observations SI , ... ,ST. We propose an … adaptive method of estimation which does not use any information about time homogeneity of the obscured process. We apply this …

-Gaussian dependency structures with a small number of parameters. In this paper we develop a novel adaptive estimation technique of the … ; Archimedean copula ; adaptive estimation …