Bad environments, good environments: A non-Gaussian asymmetric volatility model
Geert Bekaert,
Eric Engstrom and
Andrey Ermolov
Journal of Econometrics, 2015, vol. 186, issue 1, 258-275
Abstract:
We propose an extension of standard asymmetric volatility models in the generalized autoregressive conditional heteroskedasticity (GARCH) class that admits conditional non-Gaussianities in a tractable fashion. Our “bad environment–good environment” (BEGE) model utilizes two gamma-distributed shocks and generates a conditional shock distribution with time-varying heteroskedasticity, skewness, and kurtosis. The BEGE model features nontrivial news impact curves and closed-form solutions for higher-order moments. In an empirical application to stock returns, the BEGE model outperforms asymmetric GARCH and regime-switching models along several dimensions.
Keywords: Non-Gaussianities; GARCH; Asymmetric volatility; Conditional skewness; Risk management (search for similar items in EconPapers)
JEL-codes: G11 G17 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (45)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S030440761400178X
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:econom:v:186:y:2015:i:1:p:258-275
DOI: 10.1016/j.jeconom.2014.06.021
Access Statistics for this article
Journal of Econometrics is currently edited by T. Amemiya, A. R. Gallant, J. F. Geweke, C. Hsiao and P. M. Robinson
More articles in Journal of Econometrics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().