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Uncovering the risk-return relation in the stock market Author info | Abstract | Publisher info | Download info | Related research | Statistics Hui Guo
Robert Whitelaw
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There is an ongoing debate about the apparent weak or negative relation between risk (conditional variance) and expected returns in the aggregate stock market. We develop and estimate an empirical model based on the ICAPM that separately identifies the two components of expected returns–the risk component and the component due to the desire to hedge changes in investment opportunities. The estimated coefficient of relative risk aversion is positive, statistically significant, and reasonable in magnitude. However, expected returns are driven primarily by the hedge component. The omission of this component is partly responsible for the existing contradictory results.
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Paper provided by Federal Reserve Bank of St. Louis in its series Working Papers with number
2001-001.
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Date of creation: 2005Date of revision:
Publication status: Published in Journal of Finance, June 2006, 61(3), pp. 1433-63Handle: RePEc:fip:fedlwp:2001-001Contact details of provider: Postal: P.O. Box 442, St. Louis, MO 63166 Fax: (314)444-8753 Web page: http://www.stlouisfed.org/ More information through EDIRC
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Keywords: Stock market Econometric models Asset pricing Other versions of this item:
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references Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
Robert R. Bliss & Nikolaos Panigirtzoglou, 2001.
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Hui Guo & Robert Savickas, 2005.
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Hui Guo & Robert Savickas, 2006.
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Hui Guo & Christopher J. Neely & Jason Higbee, 2006.
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2004-029, Federal Reserve Bank of St. Louis.
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Other versions: Hui Guo & Robert Savickas & Zijun Wang & Jian Yang, 2006.
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2005-026, Federal Reserve Bank of St. Louis.
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