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An empirical analysis of aggregate household portfolios

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  • Normandin, Michel
  • St-Amour, Pascal

Abstract

This paper analyzes the important time variation in US aggregate household portfolios. To do so, we first use flexible descriptions of preferences and investment opportunities to derive household optimal decision rules that nest static, myopic, and non-myopic portfolio allocations. We then compare these rules to the data through formal statistical analysis. Our main results reveal that: (i) static and myopic investment behaviors are rejected, (ii) non-myopic portfolio allocations are supported, and (iii) the Fama-French factors best explain empirical portfolio shares.

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  • Normandin, Michel & St-Amour, Pascal, 2008. "An empirical analysis of aggregate household portfolios," Journal of Banking & Finance, Elsevier, vol. 32(8), pages 1583-1597, August.
    • Handle: RePEc:eee:jbfina:v:32:y:2008:i:8:p:1583-1597
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    2. Jakusch, Sven Thorsten, 2017. "On the applicability of maximum likelihood methods: From experimental to financial data," SAFE Working Paper Series 148, Leibniz Institute for Financial Research SAFE, revised 2017.
    3. Berkelaar, Arjan & Kouwenberg, Roy, 2009. "From boom 'til bust: How loss aversion affects asset prices," Journal of Banking & Finance, Elsevier, vol. 33(6), pages 1005-1013, June.
    4. Guidolin, Massimo & Hyde, Stuart, 2012. "Can VAR models capture regime shifts in asset returns? A long-horizon strategic asset allocation perspective," Journal of Banking & Finance, Elsevier, vol. 36(3), pages 695-716.
    5. Chung, Kee H. & Smith, William T. & Wu, Tao L., 2009. "Time diversification: Definitions and some closed-form solutions," Journal of Banking & Finance, Elsevier, vol. 33(6), pages 1101-1111, June.
    6. Fan, Elliott & Zhao, Ruoyun, 2009. "Health status and portfolio choice: Causality or heterogeneity?," Journal of Banking & Finance, Elsevier, vol. 33(6), pages 1079-1088, June.

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