Showing 1 - 10 of 452
asset management are predicated on the importance of jumps, or discontinuous movements in asset returns. In light of this, a … number of recent papers have addressed volatility predictability, some from the perspective of the usefulness of jumps in … forecasting volatility. Key papers in this area include Andersen, Bollerslev, Diebold and Labys (2003), Corsi (2004), Andersen …
Persistent link: https://www.econbiz.de/10010334248
,b,c) to examine the importance of jumps, and in particular large and small jumps, using high frequency price returns on 25 … stocks in the DOW 30 and S&P futures index. In particular, we examine jumps from both the perspective of their contribution … of jumps in around 22.8% of the days during the 1993-2000 period, and in 9.4% of the days during the 2001-2008 period …
Persistent link: https://www.econbiz.de/10010282828
variables. We then provide empirical evidence on small and large jumps from the perspective of their contribution to overall … and Diebold (2007) and Aït-Sahalia and Jacod (2009a,b,c). Evidence of jumps is found in around 22.8% of the days during … role of jumps is lessening, the role of large jumps has not decreased, and indeed, the relative role of large jumps, as a …
Persistent link: https://www.econbiz.de/10010282858
This paper proposes a Bayesian nonparametric modeling approach for the return distribution in multivariate GARCH models. In contrast to the parametric literature, the return distribution can display general forms of asymmetry and thick tails. An infinite mixture of multivariate normals is given...
Persistent link: https://www.econbiz.de/10010292242
In recent years, numerous volatility-based derivative products have been engineered. This has led to interest in constructing conditional predictive densities and confidence intervals for integrated volatility. In this paper, we propose nonparametric kernel estimators of the aforementioned...
Persistent link: https://www.econbiz.de/10010282869
focusing on forecasting inflation and GDP growth in a panel of countries confirms this finding. …
Persistent link: https://www.econbiz.de/10010280764
of point and density forecasting. The relative accuracy is higher when the full distribution is predicted. We also …
Persistent link: https://www.econbiz.de/10011739584
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/10010292350
We propose a joint modeling strategy for timing the joint distribution of the returns and their volatility. We do this by incorporating the potentially asymmetric links into the system of 'independent' predictive regressions of returns and volatility, allowing for asymmetric cross-correlations,...
Persistent link: https://www.econbiz.de/10012628462
unconditional distribution of returns. In-sample fitting and out-of-sample realized volatility forecasting demonstrate the strength …
Persistent link: https://www.econbiz.de/10011406341