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Optimal Portfolio Choice with Predictability in House Prices and Transaction Costs

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  • Stefano Corradin
  • José L. Fillat
  • Carles Vergara-Alert

Abstract

We develop and solve a model of optimal portfolio choice with transaction costs and predictability in house prices. We model house prices using a process with a time-varying expected growth rate. Housing adjustments are infrequent and characterized by both the wealth-to-housing ratio and the expected growth in house prices. We find that the housing portfolio share immediately after moving to a more valuable house is higher during periods of high expected growth in house prices. We also find that the share of wealth invested in risky assets is lower during periods of high expected growth in house prices. Finally, the decrease in risky portfolio holdings for households moving to a more valuable house is greater in high-growth periods. These findings are robust to tests using household-level data from the Panel Study of Income Dynamics (PSID) and Survey of Income and Program Participation (SIPP) surveys. The coefficients obtained using model-simulated data are consistent with those obtained in the empirical tests.

Suggested Citation

  • Stefano Corradin & José L. Fillat & Carles Vergara-Alert, 2014. "Optimal Portfolio Choice with Predictability in House Prices and Transaction Costs," The Review of Financial Studies, Society for Financial Studies, vol. 27(3), pages 823-880.
    • Handle: RePEc:oup:rfinst:v:27:y:2014:i:3:p:823-880.
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    File URL: http://hdl.handle.net/10.1093/rfs/hht062
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    1. Ivo Welch & Amit Goyal, 2008. "A Comprehensive Look at The Empirical Performance of Equity Premium Prediction," The Review of Financial Studies, Society for Financial Studies, vol. 21(4), pages 1455-1508, July.
    2. Andrew Ang & Geert Bekaert, 2002. "International Asset Allocation With Regime Shifts," The Review of Financial Studies, Society for Financial Studies, vol. 15(4), pages 1137-1187.
    3. 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.
    4. Garcia, Rene & Perron, Pierre, 1996. "An Analysis of the Real Interest Rate under Regime Shifts," The Review of Economics and Statistics, MIT Press, vol. 78(1), pages 111-125, February.
    5. 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.
    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. John Y. Campbell, Robert J. Shiller, 1988. "The Dividend-Price Ratio and Expectations of Future Dividends and Discount Factors," The Review of Financial Studies, Society for Financial Studies, vol. 1(3), pages 195-228.
    9. 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.
    10. 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.
    11. Eberly, Janice C, 1994. "Adjustment of Consumers' Durables Stocks: Evidence from Automobile Purchases," Journal of Political Economy, University of Chicago Press, vol. 102(3), pages 403-436, June.
    12. John Y. Campbell & Luis M. Viceira, 1999. "Consumption and Portfolio Decisions when Expected Returns are Time Varying," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(2), pages 433-495.
    13. Orazio P. Attanasio, 2000. "Consumer Durables and Inertial Behaviour: Estimation and Aggregation of (S, s) Rules for Automobile Purchases," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 67(4), pages 667-696.
    14. Campbell, Sean D. & Davis, Morris A. & Gallin, Joshua & Martin, Robert F., 2009. "What moves housing markets: A variance decomposition of the rent-price ratio," Journal of Urban Economics, Elsevier, vol. 66(2), pages 90-102, September.
    15. Hamilton, James D., 1990. "Analysis of time series subject to changes in regime," Journal of Econometrics, Elsevier, vol. 45(1-2), pages 39-70.
    16. 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.
    17. Rui Yao, 2005. "Optimal Consumption and Portfolio Choices with Risky Housing and Borrowing Constraints," The Review of Financial Studies, Society for Financial Studies, vol. 18(1), pages 197-239.
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    More about this item

    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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