A new approach to risk-return trade-off dynamics via decomposition

David Tyler Frazier, Xiaochun Martin Liu

Research output: Contribution to journalArticleResearchpeer-review

9 Citations (Scopus)

Abstract

This paper revisits the puzzling time series relation between risk premium and conditional volatility by proposing a flexible risk-return trade-off that allows for a variety of possible shapes and incorporates potential nonlinearities inherent in excess return dynamics. We derive this flexible risk-return relation using the decomposition approach of Anatolyev and Gospodinov (2010), which splits excess returns into the product of absolute returns and signs. Using this decomposition strategy, we study four major international financial markets. The empirical results support a significant and positive risk-return trade-off that is driven by conditional volatility, market timing and the interdependence between the two components, which is generically related to return skewness.
Original languageEnglish
Pages (from-to)43 - 55
Number of pages13
JournalJournal of Economic Dynamics and Control
Volume62
DOIs
Publication statusPublished - 2016

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