Which Parametric Model for Conditional Skewness?

Bruno Feunou, Mohammad Jahan-Parvar and Roméo Tedongap

Staff Working Papers from Bank of Canada

Abstract: This paper addresses an existing gap in the developing literature on conditional skewness. We develop a simple procedure to evaluate parametric conditional skewness models. This procedure is based on regressing the realized skewness measures on model-implied conditional skewness values. We find that an asymmetric GARCH-type specification on shape parameters with a skewed generalized error distribution provides the best in-sample fit for the data, as well as reasonable predictions of the realized skewness measure. Our empirical findings imply significant asymmetry with respect to positive and negative news in both conditional asymmetry and kurtosis processes.

Keywords: Econometric; and; statistical; methods (search for similar items in EconPapers)
JEL-codes: C22 C51 G12 G15 (search for similar items in EconPapers)
Pages: 44 pages
Date: 2013
New Economics Papers: this item is included in nep-ecm and nep-for
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.bankofcanada.ca/wp-content/uploads/2013/09/wp2013-32.pdf

Related works:
Journal Article: Which parametric model for conditional skewness? (2016)
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:bca:bocawp:13-32

Access Statistics for this paper

More papers in Staff Working Papers from Bank of Canada 234 Wellington Street, Ottawa, Ontario, K1A 0G9, Canada. Contact information at EDIRC.
Bibliographic data for series maintained by ().