Showing 1 - 8 of 8
This paper investigates whether risks associated with time-varying arrival of jumps and their effect on the dynamics of higher moments of returns are priced in the conditional mean of daily market excess returns. We find that jumps and jump dynamics are significantly related to the market equity...
Persistent link: https://www.econbiz.de/10010555039
In this paper we extend the parametric, asymmetric, stochastic volatility model (ASV), where returns are correlated with volatility, by flexibly modeling the bivariate distribution of the return and volatility innovations nonparametrically. Its novelty is in modeling the joint, conditional,...
Persistent link: https://www.econbiz.de/10010555040
This paper proposes a Bayesian nonparametric modeling approach for the return distribution in multivariate GARCH models …. An infinite mixture of multivariate normals is given a flexible Dirichlet process prior. The GARCH functional form enters … posterior simulation and computation of the predictive density. Bayes factors and density forecasts with comparisons to GARCH …
Persistent link: https://www.econbiz.de/10010556310
vector autoregressions and various multivariate GARCH representations are adopted. The sample covers the after-Euro period …
Persistent link: https://www.econbiz.de/10010656018
We propose a new method for estimating the covariance matrix of a multivariate time series of nancial returns. The method is based on estimating sample covariances from overlapping windows of observations which are then appropriately weighted to obtain the nal covariance estimate. We extend the...
Persistent link: https://www.econbiz.de/10011147371
the pattern of volatility spillovers. We estimate the bivariate structural GARCH models proposed by Spargoli e Zagaglia …
Persistent link: https://www.econbiz.de/10008475719
A prediction model is any statement of a probability distribution for an outcome not yet observed. This study considers the properties of weighted linear combinations of n prediction models, or linear pools, evaluated using the conventional log predictive scoring rule. The log score is a concave...
Persistent link: https://www.econbiz.de/10005091090
In this paper we contribute several new results on the NoVaS transformation approach for volatility forecasting introduced by Politis (2003a,b, 2007). In particular: (a) we introduce an alternative target distribution (uniform); (b) we present a new method for volatility forecasting using NoVaS...
Persistent link: https://www.econbiz.de/10005091122