Bruno Feunou, Mohammad R. Jahan-Parvar, Roméo Tédongap
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引用次数: 24
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 generalized autoregressive conditional heteroscedasticity 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.
期刊介绍:
The European Journal of Finance publishes a full range of research into theoretical and empirical topics in finance. The emphasis is on issues that reflect European interests and concerns. The journal aims to publish work that is motivated by significant issues in the theory or practice of finance. The journal promotes communication between finance academics and practitioners by providing a vehicle for the publication of research into European issues, stimulating research in finance within Europe, encouraging the international exchange of ideas, theories and the practical application of methodologies and playing a positive role in the development of the infrastructure for finance research.