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Frictionless house-price momentum

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Listed:
  • Fève, Patrick
  • Moura, Alban

Abstract

This paper establishes that frictionless, rational-expectations models driven by specific ARMA(2,1) forcing processes are consistent with equilibrium asset-price dynamics featuring momentum. To reach this result, we first document that AR(2) models adequately capture the cyclical dynamics found in U.S. house prices, in particular the strong positive first-order autocorrelation in their first difference. Then, we show analytically that ARMA(2,1) exogenous drivers give rise to equilibrium AR(2) asset-price dynamics in a simple present-value model. Our pen-and-paper approach yields a straightforward economic interpretation of the results, emphasizing the contribution of anticipated shocks to generating asset-price momentum. We document the empirical relevance of our theoretical results by estimating the model from house-price data. Our findings suggest that house-price momentum does not necessarily signal irrational exuberance or strong frictions in housing markets.

Suggested Citation

  • Fève, Patrick & Moura, Alban, 2023. "Frictionless house-price momentum," TSE Working Papers 23-1488, Toulouse School of Economics (TSE).
    • Handle: RePEc:tse:wpaper:128729
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    References listed on IDEAS

    as
    1. Cindy K Soo, 2018. "Quantifying Sentiment with News Media across Local Housing Markets," The Review of Financial Studies, Society for Financial Studies, vol. 31(10), pages 3689-3719.
    2. Paolo Gelain & Kevin J. Lansing & Caterina Mendicino, 2013. "House Prices, Credit Growth, and Excess Volatility: Implications for Monetary and Macroprudential Policy," International Journal of Central Banking, International Journal of Central Banking, vol. 9(2), pages 219-276, June.
    3. Glaeser, Edward L. & Nathanson, Charles G., 2017. "An extrapolative model of house price dynamics," Journal of Financial Economics, Elsevier, vol. 126(1), pages 147-170.
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    More about this item

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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