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Losing track of the asset markets: the case of housing and stock

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  • Kuang-Liang Chang
  • Nan-Kuang Chen
  • Charles Ka Yui Leung

Abstract

This paper revisits the relationships among macroeconomic variables and asset returns. Based on recent developments in econometrics, we categorize competing models of asset returns into different "Equivalence Predictive Power Classes" (EPPC). During the pre-crisis period (1975-2005), some models that emphasize imperfect capital markets outperform an AR(1) for the forecast of housing returns. After 2006, a model that includes both an external finance premium (EFP) and the TED spread "learns and adjusts" faster than competing models. Models that encompass GDP experience a significant decay in predictive power. We also demonstrate that a simulation-based approach is complementary to the EPPC methodology.

Suggested Citation

  • Kuang-Liang Chang & Nan-Kuang Chen & Charles Ka Yui Leung, 2015. "Losing track of the asset markets: the case of housing and stock," ISER Discussion Paper 0932, Institute of Social and Economic Research, Osaka University.
  • Handle: RePEc:dpr:wpaper:0932
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    1. Leung, Charles Ka Yui & Ng, Joe Cho Yiu, 2018. "Macro Aspects of Housing," MPRA Paper 93512, University Library of Munich, Germany.
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    3. Xin He & Zhenguo Lin & Yingchun Liu & Michael J. Seiler, 2020. "Search Benefit in Housing Markets: An Inverted U‐Shaped Price and TOM Relation," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 48(3), pages 772-807, September.
    4. Kwan, Yum K. & Leung, Charles Ka Yui & Dong, Jinyue, 2015. "Comparing consumption-based asset pricing models: The case of an Asian city," Journal of Housing Economics, Elsevier, vol. 28(C), pages 18-41.

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