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Empirical Asset Pricing: Eugene Fama,Lars Peter Hansen,and Robert Shiller
Authors:John Y Campbell
Institution:Harvard University, , Cambridge, MA, 02138 USAAlso, Research Associate at the National Bureau of Economic Research.This paper has been commissioned by The Scandinavian Journal of Economics for its annual survey of the Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel. I am grateful to Nick Barberis, Jonathan Berk, Xavier Gabaix, Robin Greenwood, Ravi Jagannathan, Sydney Ludvigson, Ian Martin, Jonathan Parker, Todd Petzel, Neil Shephard, Andrei Shleifer, Luis Viceira, and the Nobel laureates for helpful comments on an earlier draft. I also acknowledge the inspiration provided by the Economic Sciences Prize Committee of the Royal Swedish Academy of Sciences in their scientific background paper “Understanding Asset Prices”, available online at http://www.nobelprize.org/nobel_prizes/economic‐sciences/laureates/2013/advanced‐economicsciences2013.pdf.
Abstract:The Nobel Memorial Prize in Economic Sciences for 2013 was awarded to Eugene Fama, Lars Peter Hansen, and Robert Shiller for their contributions to the empirical study of asset pricing. Some observers have found it hard to understand the common elements of the laureates' research, preferring to highlight areas of disagreement among them. In this paper, I argue that empirical asset pricing is a coherent enterprise, which owes much to the laureates' influential contributions, and that important themes in the literature can best be understood by considering the laureates in pairs. Specifically, after summarizing modern asset‐pricing theory using the stochastic discount factor as an organizing framework, I discuss the following: the joint hypothesis problem in tests of market efficiency, which is as much an opportunity as a problem (Fama and Hansen); patterns of short‐ and long‐term predictability in asset returns (Fama and Shiller); and models of deviations from rational expectations (Hansen and Shiller). I conclude by reviewing the ways in which the laureates have already influenced the practice of finance, and how they might influence future innovations.
Keywords:Behavioral finance  financial innovation  market efficiency  stochastic discount factor  G10  G12
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