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Portfolio Choice with a Correlated Background Risk : Theory and Evidence

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  • Luc Arrondel
  • Hector Calvo-Pardo

Abstract

We extend the static portfolio choice problem with a small background risk to the case of small partially correlated background risks. We show that respecting the theories under which risk substitution appears, except for the independence of background risk, it is perfectly rational for the individual to increase his optimal exposure to portfolio risk when risks are partially negatively correlated. Then, we test empirically the hypothesis ofrisk substitutability using INSEE data on French households. We find that households respond by increasing their stockholdings in response to the increase in future earnings uncertainty. This conclusion is in contradictionwith results obtained in other countries. So, in light of these results, our model provides an explanation to account for the lack of empirical consensus on cross-country tests of risk substitution theory that encompasses and criticises all of them.

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Bibliographic Info

Paper provided by DELTA (Ecole normale supérieure) in its series DELTA Working Papers with number 2002-16.

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Date of creation: 2002
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Handle: RePEc:del:abcdef:2002-16

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Cited by:
  1. Luc Arrondel & André Masson & Daniel Verger, 2005. "Measuring Individual Risk-Related Preferences," Economie et Statistique, Institut National de la Statistique et des Etudes Economiques, vol. 374, pages 53-85, May.
  2. repec:hal:wpaper:halshs-00588069 is not listed on IDEAS
  3. Arrondel, Luc & Masson, André, 2007. "How to Measure Risk and Time Preferences of Savers," Economics Papers from University Paris Dauphine 123456789/6827, Paris Dauphine University.
  4. Luc Arrondel & André Masson & Daniel Verger, 2005. "Risk-And Time-Related Saver Behaviour," Economie et Statistique, Institut National de la Statistique et des Etudes Economiques, vol. 374, pages 9-19, May.
  5. Luc Arrondel & André Masson & Daniel Verger, 2005. "From Theory To An Original Methodological Survey," Economie et Statistique, Institut National de la Statistique et des Etudes Economiques, vol. 374, pages 21-51, May.

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