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An Agnostic and Practically Useful Estimator of the Stochastic Discount Factor

Pukthuanthong, Kuntara and Roll, Richard (2015) An Agnostic and Practically Useful Estimator of the Stochastic Discount Factor. Social Science Working Paper, 1405. California Institute of Technology , Pasadena, CA. (Unpublished) http://resolver.caltech.edu/CaltechAUTHORS:20170726-110645423

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Abstract

We propose an estimator for the stochastic discount factor (SDF) which is agnostic because it does not require macroeconomic proxies or preference assumptions. It depends only on observed asset returns. Nonetheless, it is immune to the form of the multivariate return distribution, including the distribution’s factor structure. Putting our estimator to work, we find that a unique positive SDF prices all U.S. asset classes and satisfies the Hansen/Jagannathan variance bound. In contrast, the Chinese and Indian equity markets do not share the same SDF and hence do not seem to be integrated.


Item Type:Report or Paper (Working Paper)
Additional Information:Revised October 19, 2016. Acknowledgements: For many helpful comments and suggestions on previous drafts, we are indebted to Viral Acharya, Tobias Adrian, Serena Agoro-Menyang, Yakov Amihud, Antonio Bernardo, Michael Brennan, Menachem Brenner, Mikhail Chernov, Bhagwan Chowdhry, John Cochrane, Harry DeAngelo, Eric DeBodt, Federico Echenique, Robert Engle, Michael Ewens, Wayne Ferson, Steve Figlewski, Ben Gillen, Lars Hansen, Raymond Kan, Shiki Levy, Francis Longstaff, John McConnell, Hugh McCulloch, Tyler Muir, Andrew Patton, Michael O’Doherty, Stephen Ross, Grigory Vilkov, Kenneth Winston, Rui Yu, Goufu Zhou, and participants in the Caltech and UCLA Brown Bag seminars, the Amundi Paris Dauphine annual workshop and the Stern School Volatility Institute Seminar at New York University.
Group:Social Science Working Papers
Subject Keywords:Hansen Jagannathan bounds, common stochastic discount factor
Record Number:CaltechAUTHORS:20170726-110645423
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20170726-110645423
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:79412
Collection:CaltechAUTHORS
Deposited By: Hanna Storlie
Deposited On:07 Aug 2017 21:31
Last Modified:07 Aug 2017 21:31

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