Showing 1 - 5 of 5
This paper proposes a new combined semiparametric estimator of the conditional variance that takes the product of a parametric estimator and a nonparametric estimator based on machine learning. A popular kernel-based machine learning algorithm, known as the kernel-regularized least squares...
Persistent link: https://www.econbiz.de/10013201342
This paper proposes a variant of a threshold stochastic conditional duration (TSCD) model for financial data at the … transaction level. It assumes that the innovations of the duration process follow a threshold distribution with a positive support …
Persistent link: https://www.econbiz.de/10012611110
Copula modelling is a popular tool in analysing the dependencies between variables. Copula modelling allows the investigation of tail dependencies, which is of particular interest in risk and survival applications. Copula modelling is also of specific interest to economic and financial modelling...
Persistent link: https://www.econbiz.de/10013201407
consists of policies across a wide range of crops, plans, and locations. Weather and other latent variables induce dependence …
Persistent link: https://www.econbiz.de/10012611133
, and inflation hedging to investors. This study employs a quantile autoregression model to investigate the dependence … aggregate effects of the sign and size of returns, business cycles, volatility, and REIT eras on the dependence structure of … daily, weekly, and monthly REIT returns. The study documents asymmetric and misaligned dependence patterns. A bad market …
Persistent link: https://www.econbiz.de/10012611486