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Labor income dynamics at business-cycle frequencies: Implications for portfolio choice

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Listed author(s):
  • Lynch, Anthony W.
  • Tan, Sinan
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    Abstract

    Young agents with low wealth-income ratios counter factually hold more stock than young, rich agents and old agents using the standard portfolio choice model with i.i.d. stock returns and labor income. This paper matches the countercyclical volatility and procyclical mean of U.S. labor income and finds that, consistent with U.S. data, young, poor agents now hold less stock than both young, rich agents and old agents, and no stock a large fraction of the time. Our results suggest that the predictability of labor income growth at a business-cycle frequency, particularly the countercyclical variation in volatility, plays an important role in a young agent's decision making about her portfolio's stock holding.

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    File URL: http://www.sciencedirect.com/science/article/pii/S0304405X11000705
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    Article provided by Elsevier in its journal Journal of Financial Economics.

    Volume (Year): 101 (2011)
    Issue (Month): 2 (August)
    Pages: 333-359

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    Handle: RePEc:eee:jfinec:v:101:y:2011:i:2:p:333-359
    Contact details of provider: Web page: http://www.elsevier.com/locate/inca/505576

    Keywords: Dynamic portfolio choice Labor income Life cycle Stock allocation Stock market participation;

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    Cited by:

    1. Hammami, Yacine & Lindahl, Anna, 2014. "An intertemporal capital asset pricing model with bank credit growth as a state variable," Journal of Banking & Finance, Elsevier, vol. 39(C), pages 14-28.
    2. John H. Cochrane, 2014. "A Mean-Variance Benchmark for Intertemporal Portfolio Theory," Journal of Finance, American Finance Association, vol. 69(1), pages 1-49, 02.
    3. Fischer, Marcel & Kraft, Holger & Munk, Claus, 2013. "Asset allocation over the life cycle: How much do taxes matter?," Journal of Economic Dynamics and Control, Elsevier, vol. 37(11), pages 2217-2240.
    4. Mark Huggett and Greg Kaplan, 2012. "The Money Value of a Man," Working Papers gueconwpa~12-12-02, Georgetown University, Department of Economics.
    5. Campanale, Claudio & Fugazza, Carolina & Gomes, Francisco J, 2015. "Life-Cycle Portfolio choice with Liquid and Illiquid Assets," CEPR Discussion Papers 10369, C.E.P.R. Discussion Papers.
    6. Doriana Ruffino, 2014. "Resuscitating Businessman Risk: A Rationale for Familiarity-Based Portfolios," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 17(1), pages 107-130, January.
    7. Wei-Ting Pan, 2016. "The Impact of Mandatory Savings on Life Cycle Consumption and Portfolio Choice," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 32, December.
    8. Apergis, Nicholas, 2015. "Financial portfolio choice: Do business cycle regimes matter? Panel evidence from international household surveys," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 34(C), pages 14-27.
    9. Hui-Ju Tsai & Yangru Wu, 2015. "Optimal portfolio choice with asset return predictability and nontradable labor income," Review of Quantitative Finance and Accounting, Springer, vol. 45(1), pages 215-249, July.
    10. Mark Huggett & Greg Kaplan, 2016. "How Large is the Stock Component of Human Capital?," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 22, pages 21-51, October.
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    13. Campanale, Claudio & Fugazza, Carolina & Gomes, Francisco, 2015. "Life-cycle portfolio choice with liquid and illiquid financial assets," Journal of Monetary Economics, Elsevier, vol. 71(C), pages 67-83.
    14. Christensen, Peter Ove & Larsen, Kasper & Munk, Claus, 2012. "Equilibrium in securities markets with heterogeneous investors and unspanned income risk," Journal of Economic Theory, Elsevier, vol. 147(3), pages 1035-1063.
    15. Kraft, Holger & Munk, Claus & Wagner, Sebastian, 2015. "Housing habits and their implications for life-cycle consumption and investment," SAFE Working Paper Series 85, Research Center SAFE - Sustainable Architecture for Finance in Europe, Goethe University Frankfurt.
    16. Massimo Guidolin & Stuart Hyde, 2012. "Optimal Portfolios for Occupational Funds under Time-Varying Correlations in Bull and Bear Markets? Assessing the Ex-Post Economic Value," Working Papers 455, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    17. Kraft, Holger & Munk, Claus & Weiss, Farina, 2016. "Predictors and portfolios over the life cycle," SAFE Working Paper Series 139, Research Center SAFE - Sustainable Architecture for Finance in Europe, Goethe University Frankfurt.

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