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Arbitrage opportunities, efficiency, and the role of risk preferences in the Hong Kong property market

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  • Chun-Kei Tsang
  • Wing-Keung Wong
  • Ira Horowitz

Abstract

Purpose - This paper aims to investigate how a prospective buyer’s optimal home-size purchase can be determined by means of a stochastic-dominance (SD) analysis of the historical data of Hong Kong. Design/methodology/approach - By means of SD analysis, the paper uses monthly property yields in Hong Kong over a 15-year period to illustrate how buyers of different risk preference may optimize their home-size purchase. Findings - Regardless of whether the buyer eschews risk, embraces risk or is indifferent to it, in any adjacent pairing of five well-defined housing classes, the smaller class provides the optimal purchase. In addition, risk-averters focusing on total yield would prefer to invest in the smallest and second-smallest classes than in the largest class. Research limitations/implications - As the smaller class provides the optimal purchase, the smallest class affords the buyer the optimal purchase over all classes in this important housing market – at least where rental yields are of primary concern. Practical implications - The findings suggest that in the Hong Kong housing market, long-term investors may be better off purchasing smaller homes. For other type of investors, it depends on their risk preference. Originality/value - There is a very small body of empirical literature on housing investment, especially if the focus is on the optimal home-size purchase.

Suggested Citation

  • Chun-Kei Tsang & Wing-Keung Wong & Ira Horowitz, 2016. "Arbitrage opportunities, efficiency, and the role of risk preferences in the Hong Kong property market," Studies in Economics and Finance, Emerald Group Publishing Limited, vol. 33(4), pages 735-754, October.
  • Handle: RePEc:eme:sefpps:v:33:y:2016:i:4:p:735-754
    DOI: 10.1108/SEF-03-2015-0079
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    More about this item

    Keywords

    Urban studies; Stochastic dominance; Housing investment; Investors with S-shaped and reverse S-shaped utilities; Risk averters; Risk seekers;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

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