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Looking for skewness in financial time series

Matteo Grigoletto and Francesco Lisi ()

Econometrics Journal, 2009, vol. 12, issue 2, pages 310-323

Abstract: In this paper, we study marginal and conditional skewness in financial returns for nine time series of major international stock indices. For this purpose, we develop a new variant of the GARCH model with dynamic skewness and kurtosis. Our empirical results indicate that there is no evidence of marginal asymmetry in the nine time series under consideration. We do however find significant time-varying conditional skewness. The economic significance of conditional skewness is analysed in terms of Value-at-Risk measures and Market Risk Capital Requirements set by the Basel Accord. Copyright © 2009 The Author(s). Journal compilation © Royal Economic Society 2009

Date: 2009
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