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Direct Preference for Wealth in Aggregate Household Portfolio Author info | Abstract | Publisher info | Download info | Related research | Statistics Pascal St-Amour
According to standard theory, wealth should have no intrinsic value. Yet, conventional wisdom, recent theories, and data suggest it might. We verify whether or not households have direct preferences over wealth in selecting assets. The fully structural econometric model focuses on a multivariate Brownian motion in optimal consumption, portfolios and wealth. Using aggregate portfolio data, we find that wealth (i) is directly valued, (ii) reduces marginal utility and (iii) reduces risk aversion, while we reject the HARA, and CRRA restrictions. Consequently, wealth-dependent utility generates a larger IMRS risk, justifying a larger, more predictable risk premium and a lower risk-free rate.
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Paper provided by Université de Lausanne, Faculté des HEC, DEEP in its series Cahiers de Recherches Economiques du Département d'Econométrie et d'Economie politique (DEEP) with number
05.04.
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Length: 44 pages
Date of creation: Mar 2005Date of revision:
Handle: RePEc:lau:crdeep:05.04Contact details of provider: Postal: Université de Lausanne, Faculté des HEC, DEEP, Internef, CH-1015 Lausanne Phone: ++41 21 692.33.64 Fax: ++41 21 692.33.65 Web page: http://www.hec.unil.ch/deep/publications-english/e-cahiers.htm
For technical questions regarding this item, or to correct its listing, contact: (Claudine Delapierre Saudan).
Keywords: portfolio choice ; wealth-dependent preferences ; preference for status ; asset pricing ; equity premium ; risk-free rate ; predictability ; Other versions of this item:
Find related papers by JEL classification: G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions G12 - Financial Economics - - General Financial Markets - - - Asset Pricing
This paper has been announced in the following NEP Reports :
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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.)
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