Higher-Order Tail Moments in Asset-Pricing Theory

Juan Arismendi Zambrano ()

Chapter 27 in Handbook of Global Financial Markets:Transformations, Dependence, and Risk Spillovers, 2019, pp 689-741 from World Scientific Publishing Co. Pte. Ltd.

Abstract: In this chapter, we review the literature about the use of third- and fourth-order moments in finance, the main papers on asset pricing theory with higher-order moments, and the definitions of skewness and kurtosis in the statistical literature. Contagion, skewness and kurtosis investor preferences, and tail regimes are some of the topics discussed in this chapter. We derive theoretical results about the higher-order moments of the bivariate truncated normal distribution, and analyze the implications of the results for previous empirical tests. We provide these results as a tool to be used in the empirical testing of asymmetries and heavy-tailedness of assets returns.

Keywords: Market Integration; Risk Management; Risk Assessment; Financial Uncertainty; Volatility; Financial Markets; Financial Development; Country Risks; Sovereign Debt Markets (search for similar items in EconPapers)
JEL-codes: F37 (search for similar items in EconPapers)
Date: 2019
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