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Time-varying diversification strategies: The roles of state-level housing assets in optimal portfolios

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  • Huang, MeiChi

Abstract

The study extracts quantitative implications of dynamic asset allocation strategies by analyzing time-varying roles of intertemporal hedging demands in multi-asset portfolios. It provides evidence of positive hedging demands for housing assets and spatial demand substitutions across different state-level housing markets. Risk-averse investors tend to switch their hedging demands from California to other states. The risk-diversification strategies provide insights into the vulnerability of some states to housing bubbles, and successfully characterize the recent housing boom-bust cycle. The framework governing return predictability suggests that stock and some state-level housing price returns can make one-period-ahead forecasts of housing asset prices.

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  • Huang, MeiChi, 2018. "Time-varying diversification strategies: The roles of state-level housing assets in optimal portfolios," International Review of Economics & Finance, Elsevier, vol. 55(C), pages 145-172.
  • Handle: RePEc:eee:reveco:v:55:y:2018:i:c:p:145-172
    DOI: 10.1016/j.iref.2018.02.001
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    More about this item

    Keywords

    Asset allocation; Intertemporal hedging demand; Spatial demand substitution; Housing boom-bust cycle; Return predictability;
    All these keywords.

    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
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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