Arbeitspapier

Which parametric model for conditional skewness?

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.

Language
Englisch

Bibliographic citation
Series: Bank of Canada Working Paper ; No. 2013-32

Classification
Wirtschaft
Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
Model Construction and Estimation
Asset Pricing; Trading Volume; Bond Interest Rates
International Financial Markets
Subject
Econometric and statistical methods

Event
Geistige Schöpfung
(who)
Feunou, Bruno
Jahan-Parvar, Mohammad R.
Tédongap, Roméo
Event
Veröffentlichung
(who)
Bank of Canada
(where)
Ottawa
(when)
2013

DOI
doi:10.34989/swp-2013-32
Handle
Last update
10.03.2025, 11:44 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Arbeitspapier

Associated

  • Feunou, Bruno
  • Jahan-Parvar, Mohammad R.
  • Tédongap, Roméo
  • Bank of Canada

Time of origin

  • 2013

Other Objects (12)