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Optimal portfolio choice with predictability in house prices and transaction costs

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Abstract

We study a model of portfolio choice, in which housing prices are predictable and adjustment costs must be paid when there is a housing transaction. We show that two state variables affect the agent's decisions: (i) his wealth-house ratio; and (ii) the time-varying expected growth rate of housing prices. The agent buys (sells) his housing assets only when the wealth-house ratio reaches an optimal upper (lower) boundary. These boundaries are time-varying and depend on the expected growth rate of housing prices. Finally, we use household level data from the PSID and SIPP surveys to test and support the main implications of the model, as well as portfolio rules and holdings of housing asset.

Suggested Citation

  • Stefano Corradin & José Fillat & Carles Vergara-Alert, 2010. "Optimal portfolio choice with predictability in house prices and transaction costs," Supervisory Research and Analysis Working Papers QAU10-2, Federal Reserve Bank of Boston.
  • Handle: RePEc:fip:fedbqu:qau10-2
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    1. Ivo Welch & Amit Goyal, 2008. "A Comprehensive Look at The Empirical Performance of Equity Premium Prediction," Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1455-1508, July.
    2. John Y. Campbell & Luis M. Viceira, 1999. "Consumption and Portfolio Decisions when Expected Returns are Time Varying," The Quarterly Journal of Economics, Oxford University Press, vol. 114(2), pages 433-495.
    3. Andrew Ang & Geert Bekaert, 2002. "International Asset Allocation With Regime Shifts," Review of Financial Studies, Society for Financial Studies, vol. 15(4), pages 1137-1187.
    4. Grossman, Sanford J & Laroque, Guy, 1990. "Asset Pricing and Optimal Portfolio Choice in the Presence of Illiquid Durable Consumption Goods," Econometrica, Econometric Society, vol. 58(1), pages 25-51, January.
    5. Orazio P. Attanasio, 2000. "Consumer Durables and Inertial Behaviour: Estimation and Aggregation of (S, s) Rules for Automobile Purchases," Review of Economic Studies, Oxford University Press, vol. 67(4), pages 667-696.
    6. Robert F. Martin, 2003. "Consumption, durable goods, and transaction costs," International Finance Discussion Papers 756, Board of Governors of the Federal Reserve System (U.S.).
    7. Damgaard, Anders & Fuglsbjerg, Brian & Munk, Claus, 2003. "Optimal consumption and investment strategies with a perishable and an indivisible durable consumption good," Journal of Economic Dynamics and Control, Elsevier, vol. 28(2), pages 209-253, November.
    8. Hamilton, James D., 1990. "Analysis of time series subject to changes in regime," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 39-70.
    9. Henkel, Sam James & Martin, J. Spencer & Nardari, Federico, 2011. "Time-varying short-horizon predictability," Journal of Financial Economics, Elsevier, vol. 99(3), pages 560-580, March.
    10. University of Chicago & Jose L. Fillat, 2008. "Housing as a Measure for the Long Run Risk in Asset Pricing," 2008 Meeting Papers 483, Society for Economic Dynamics.
    11. Marjorie Flavin & Shinobu Nakagawa, 2008. "A Model of Housing in the Presence of Adjustment Costs: A Structural Interpretation of Habit Persistence," American Economic Review, American Economic Association, vol. 98(1), pages 474-495, March.
    12. Rui Yao, 2005. "Optimal Consumption and Portfolio Choices with Risky Housing and Borrowing Constraints," Review of Financial Studies, Society for Financial Studies, vol. 18(1), pages 197-239.
    13. Anthony W. Lynch & Pierluigi Balduzzi, 2000. "Predictability and Transaction Costs: The Impact on Rebalancing Rules and Behavior," Journal of Finance, American Finance Association, vol. 55(5), pages 2285-2309, October.
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    More about this item

    Keywords

    Housing - Prices;

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis

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