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Labor Income Dynamics at Business-Cycle Frequencies: Implications for Portfolio Choice


Sinan Tan


Fordham University - Finance Area

Anthony W. Lynch


New York University (NYU) - Department of Finance; National Bureau of Economic Research (NBER)

February 2, 2006

AFA 2008 New Orleans Meetings Paper

Abstract:     
A large recent literature has focused on multiperiod portfolio choice with labor income, and while he models are elaborate along several dimensions, they all assume that the joint distribution of shocks to labor income and asset returns is i.i.d.. Calibrating this joint distribution to U.S. data, these papers obtain three results not found empirically for U.S. households: young agents choose a higher stock allocation than old agents; young agents choose a higher stock allocation when poor than when rich; and, young agents always hold some stock. This paper asks whether allowing the conditional joint distribution to depend on the business cycle can allow the model to enerate equity holdings that better match those of U.S. households, while keeping the unconditional distribution the same as in the data. Calibrating the business-cycle variation in the first two moments of labor income growth to U.S. data leads to large reductions in stock holdings by young agents with low wealth-income ratios. The reductions are so large that young, oor agents now hold less stock than both young, rich agents and old agents, and also hold no stock a large fraction of the time. Our results suggest that the predictability of labor-income growth at a business-cycle frequency plays an important role in a young agent's decision-making about her portfolio's stock holding.

Keywords: Labor Income, Portfolio Choice, Predictability

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Date posted: March 22, 2007  

Suggested Citation

Tan, Sinan and Lynch , Anthony W., Labor Income Dynamics at Business-Cycle Frequencies: Implications for Portfolio Choice (February 2, 2006). AFA 2008 New Orleans Meetings Paper. Available at SSRN: http://ssrn.com/abstract=972505 or http://dx.doi.org/10.2139/ssrn.972505

Contact Information

Sinan Tan
Fordham University - Finance Area ( email )
113 West 60th Street
Schools of Business
New York, NY 10023
United States
Anthony W. Lynch (Contact Author)
New York University (NYU) - Department of Finance ( email )
Stern School of Business
44 West 4th Street
New York, NY 10012-1126
United States
(212) 998-0350 (Phone)
(212) 995-4233 (Fax)
National Bureau of Economic Research (NBER) ( email )
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
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