Showing 1 - 10 of 20,364
It is an undisputed fact that weather risk increases over time due to climate change. However, qualification of this … statement with regard to the type of weather risk and geographical location is needed. We investigate the application of novel … statistical tools for assessing changes in weather risk over time. We apply local t-test, change point tests and Mann-Kendall test …
Persistent link: https://www.econbiz.de/10010607139
Pricing kernels implicit in option prices play a key role in assessing the risk aversion over equity returns. We deal … with nonparametric estimation of the pricing kernel (Empirical Pricing Kernel) given by the ratio of the risk … testing parametric specifications of pricing kernels and has a direct extension to estimating risk aversion patterns. The …
Persistent link: https://www.econbiz.de/10008476278
Let (X1, Y1), . . ., (Xn, Yn) be i.i.d. rvs and let l(x) be the unknown p-quantile regression curve of Y on X. A quantile-smoother ln(x) is a localised, nonlinear estimator of l(x). The strong uniform consistency rate is established under general conditions. In many applications it is necessary...
Persistent link: https://www.econbiz.de/10005678022
temperature models to investigate the temperature risk drivers. …
Persistent link: https://www.econbiz.de/10008776043
are offered and applications to stock market and weather analysis are presented. …
Persistent link: https://www.econbiz.de/10008776046
pricing with both risk free asset and risky security, we propose a class of semiparametric regressions for a combination of a …
Persistent link: https://www.econbiz.de/10008776047
Generalized additive models (GAM) are multivariate nonparametric regressions for non-Gaussian responses including binary and count data. We propose a spline-backfitted kernel (SBK) estimator for the component functions. Our results are for weakly dependent data and we prove oracle efficiency....
Persistent link: https://www.econbiz.de/10008861891
In this paper uniform confidence bands are constructed for nonparametric quantile estimates of regression functions. The method is based on the bootstrap, where resampling is done from a suitably estimated empirical density function (edf) for residuals. It is known that the approximation error...
Persistent link: https://www.econbiz.de/10008476279
In this paper bootstrap confidence bands are constructed for nonparametric quantile estimates of regression functions, where resampling is done from a suitably estimated empirical distribution function (edf) for residuals. It is known that the approximation error for the confidence band by the...
Persistent link: https://www.econbiz.de/10011041950
The purpose of the article is to identify, through a retrospective analysis, the main trends of the labour market and starting from this point to outline directions of action which aim at matching supply and demand on this specific market in Romania. Finally, the paper presents the perspectives...
Persistent link: https://www.econbiz.de/10005607208