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Robustness of the risk-return relationship in the U.S. stock market

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  • Lanne, Markku
  • Luoto, Jani

Abstract

Using GARCH-in-Mean models, we study the robustness of the risk-return relationship in monthly U.S. stock market returns (1928:1-2004:12) with respect to the specification of the conditional mean equation. The issue is important because in this commonly used framework, unnecessarily including an intercept is known to distort conclusions. The existence of the relationship is relatively robust, but its strength depends on the prior belief concerning the intercept. The latter applies in particular to the first half of the sample, where also the coefficient of the relative risk aversion is smaller and the equity premium greater than in the latter half.

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Bibliographic Info

Article provided by Elsevier in its journal Finance Research Letters.

Volume (Year): 5 (2008)
Issue (Month): 2 (June)
Pages: 118-127

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Handle: RePEc:eee:finlet:v:5:y:2008:i:2:p:118-127

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Cited by:
  1. Pauline Ahern & Frank Hanley & Richard Michelfelder, 2011. "New approach to estimating the cost of common equity capital for public utilities," Journal of Regulatory Economics, Springer, vol. 40(3), pages 261-278, December.
  2. Lanne, Markku & Luoto, Jani, 2007. "Robustness of the Risk-Return Relationship in the U.S. Stock Market," MPRA Paper 3879, University Library of Munich, Germany.
  3. Jiranyakul, Komain, 2011. "On the Risk-Return Tradeoff in the Stock Exchange of Thailand: New Evidence," MPRA Paper 45583, University Library of Munich, Germany.
  4. Mohanty, Roshni & P, Srinivasan, 2014. "The Time-Varying Risk and Return Trade Off in Indian Stock Markets," MPRA Paper 55660, University Library of Munich, Germany.
  5. Ardia, David & Hoogerheide, Lennart F., 2010. "Efficient Bayesian estimation and combination of GARCH-type models," MPRA Paper 22919, University Library of Munich, Germany.

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