The Impact of News on Higher Moments
AbstractIn this paper, we extend the concept of News Impact Curve developed by Engle and Ng (1993) to the higher moments of the multivariate returns' distribution, thereby providing a tool to investigate the impact of shocks on the characteristics of the subsequent distribution. For this purpose, we present a new methodology to describe the joint distribution of returns in a non-normal setting. This methodology allows to gain a better understanding of the temporal evolution of the returns' distribution and can be used to analyze the behavior of the optimal portfolio distribution. We apply our methodology to provide stylized facts on the four largest international stock markets. In particular, we document the persistence in large (positive or negative) daily returns. In a multivariate setting, we find that foreign holdings provide a good hedge against changes in domestic volatility after good shocks but a bad hedge after crashes.
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Bibliographic InfoPaper provided by Swiss Finance Institute in its series Swiss Finance Institute Research Paper Series with number 06-28.
Length: 58 pages
Date of creation: Nov 2006
Date of revision:
Volatility; Skewness; Kurtosis; GARCH model; Multivariate skewed Student t distribution; Stock returns;
Find related papers by JEL classification:
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models &bull Diffusion Processes
- C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
- G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
This paper has been announced in the following NEP Reports:
- NEP-ALL-2007-10-20 (All new papers)
- NEP-CBA-2007-10-20 (Central Banking)
- NEP-ECM-2007-10-20 (Econometrics)
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- Changli He & Annastiina Silvennoinen & Timo Teräsvirta, 2008.
"Parameterizing unconditional skewness in models for financial time series,"
CREATES Research Papers
2008-07, School of Economics and Management, University of Aarhus.
- Changli He & Annastiina Silvennoinen & Timo Teräsvirta, 2008. "Parameterizing Unconditional Skewness in Models for Financial Time Series," Journal of Financial Econometrics, Society for Financial Econometrics, vol. 6(2), pages 208-230, Spring.
- Changli He & Annastiina Silvennoinen & Timo Teräsvirta, 2005. "Parameterizing Unconditional Skewness in Models for Financial Time Series," Research Paper Series 169, Quantitative Finance Research Centre, University of Technology, Sydney.
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