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Asymmetric dependence in house prices: evidence from USA and international data

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  • David Zimmer

Abstract

This paper models co-movements in house prices using a copula-based approach that allows for asymmetric contemporaneous and dynamic dependence between prices in different locations. The models consider both US co-movements across different census divisions and international co-movements across different OECD countries. Results show evidence of strong contemporaneous tail dependence among US census divisions, indicating that extreme price movements in different areas tend to happen in tandem. On the international level, by contrast, results find almost no evidence of contemporaneous or dynamic linkages in house price movements between different countries. These results hold important implications for informing upon risk embedded in mortgage backed securities. Copyright Springer-Verlag Berlin Heidelberg 2015

Suggested Citation

  • David Zimmer, 2015. "Asymmetric dependence in house prices: evidence from USA and international data," Empirical Economics, Springer, vol. 49(1), pages 161-183, August.
  • Handle: RePEc:spr:empeco:v:49:y:2015:i:1:p:161-183
    DOI: 10.1007/s00181-014-0859-x
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    Cited by:

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    More about this item

    Keywords

    Copula; Joe-Clayton; CDO; Dependence; Contagion; G21; C32; C51;
    All these keywords.

    JEL classification:

    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • 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
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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