Showing 1 - 10 of 121
with nonparametric estimation of the pricing kernel (Empirical Pricing Kernel) given by the ratio of the risk ….r.t. the European call option price function, which we estimate by nonparametric regression. The subjective density is …
Persistent link: https://www.econbiz.de/10010270732
with nonparametric estimation of the pricing kernel (Empirical Pricing Kernel) given by the ratio of the risk ….r.t. the European call option price function, which we estimate by nonparametric regression. The subjective density is …
Persistent link: https://www.econbiz.de/10008476278
The JEL classification system is a standard way of assigning key topics to economic articles in order to make them more easily retrievable in the bulk of nowadays massive literature. Usually the JEL (Journal of Economic Literature) is picked by the author(s) bearing the risk of suboptimal...
Persistent link: https://www.econbiz.de/10011725380
Generalized additive models (GAM) are multivariate nonparametric regressions for non-Gaussian responses including …
Persistent link: https://www.econbiz.de/10008861891
We consider theoretical bootstrap \coupling" techniques for nonparametric robust smoothers and quantile regression, and …
Persistent link: https://www.econbiz.de/10010701762
We consider a varying coefficient regression model for sparse functional data, with time varying response variable depending linearly on some time independent covariates with coefficients as functions of time dependent covariates. Based on spline smoothing, we propose data driven simultaneous...
Persistent link: https://www.econbiz.de/10010734528
We model the dynamics of ask and bid curves in a limit order book market using a dynamic semiparametric factor model. The shape of the curves is captured by a factor structure which is estimated nonparametrically. Corresponding factor loadings are modelled jointly with best bid and best ask...
Persistent link: https://www.econbiz.de/10011042112
We propose a new method to estimate the empirical pricing kernel based on option data. We estimate the pricing kernel nonparametrically by using the ratio of the risk-neutral density estimator and the subjective density estimator. The risk-neutral density is approximated by a weighted kernel...
Persistent link: https://www.econbiz.de/10011115466
Financial risk control has always been challenging and becomes now an even harder problem as joint extreme events occur more frequently. For decision makers and government regulators, it is therefore important to obtain accurate information on the interdependency of risk factors. Given a...
Persistent link: https://www.econbiz.de/10009651900
the conditional distribution of Y given x based on the observational data generated according to a nonparametric …
Persistent link: https://www.econbiz.de/10008776043