2000
DOI: 10.1111/1468-0297.00488
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Portfolio Choice in the Presence of Background Risk

Abstract: In this paper, we focus on how the presence of background risks ± from sources such as labour and entrepreneurial income ± in¯uences portfolio allocations. This interaction is explored in a theoretical model that is calibrated using cross-sectional data from a variety of sources. The model is shown to be consistent with some but not all aspects of cross-sectional observations of portfolio holdings. The paper also provides a survey of the extensive theoretical and empirical literature on portfolio choice.

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Cited by 453 publications
(272 citation statements)
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“…Heaton and Lucas (2000a) find a positive significant correlation between stock returns and intrapreneurial income (around 0.2) but small and insignificant values for other occupation groups. Estimates obtained by Davis and Willen (2000) range between 0.1 to 0.3 for a college educated group and significantly negative for a lower education group.…”
Section: Introductionmentioning
confidence: 68%
“…Heaton and Lucas (2000a) find a positive significant correlation between stock returns and intrapreneurial income (around 0.2) but small and insignificant values for other occupation groups. Estimates obtained by Davis and Willen (2000) range between 0.1 to 0.3 for a college educated group and significantly negative for a lower education group.…”
Section: Introductionmentioning
confidence: 68%
“…The reason is that the return may be affected by (mis)behavior of other parties. As a consequence, trust in others matters for the subjective expected return, and less trustful individuals hold fewer 1 Other explanations of limited stock market participation that have been advanced are the presence of background risk (Heaton and Lucas 2000), non-standard preferences (Barberis, Huang and Santos 2001), fixed entry costs (Vissing-Jorgensen 2002), learning costs (Bayer, Bernheim andScholz 2009, Bernheim andGarrett 2003) and the cost of awareness (Guiso and Japelli 2005). All of these papers consider financial assets only.…”
Section: Introductionmentioning
confidence: 99%
“…The key reason for using a state-dependent counterpart ϑ t in Maenhout (2004) is to assure the homotheticity or scale invariance of the decision problem with the CRRA utility function. 23 In this paper, we also specify that ϑ t is state-dependent (ϑ (s t )) in the CARA-Gaussian setting. The main reason for this specification is to guarantee homotheticity, which makes robustness not diminish as the value of the total wealth increases.…”
Section: Incomementioning
confidence: 99%
“…See AHS (2003) and Hansen, Sargent, Turmuhambetova, and Williams (2006) (henceforth, HSTW) for detailed discussions on these two robustness specifications. 23 See Maenhout (2004) for detailed discussions on the appealing features of "homothetic robustness". 24 Note that the impact of robustness wears off if we assume that ϑ t is constant.…”
Section: Incomementioning
confidence: 99%
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