Abstract

Both stochastic dominance and Omegaratio can be used to examine whether the market is efficient, whether there is any arbitrage opportunity in the market and whether there is any anomaly in the market. In this paper, we first study the relationship between stochastic dominance and the Omega ratio. We find that second-order stochastic dominance (SD) and/or second-order risk-seeking SD (RSD) alone for any two prospects is not sufficient to imply Omega ratio dominance insofar that the Omega ratio of one asset is always greater than that of the other one. We extend the theory of risk measures by proving that the preference of second-order SD implies the preference of the corresponding Omega ratios only when the return threshold is less than the mean of the higher return asset. On the other hand, the preference of the second-order RSD implies the preference of the corresponding Omega ratios only when the return threshold is larger than the mean of the smaller return asset. Nonetheless, first-order SD does imply Omega ratio dominance. Thereafter, we apply the theory developed in this paper to examine the relationship between property size and property investment in the Hong Kong real estate market. We conclude that the Hong Kong real estate market is not efficient and there are expected arbitrage opportunities and anomalies in the Hong Kong real estate market. Our findings are useful for investors and policy makers in real estate.

Highlights

  • It is well known that the standard deviation is not a good measure of risk because it penalizes upside deviation, as well as downside deviation

  • We extend their work by applying the Omega ratio to examine the relationship between property size and property investment in the Hong Kong real estate market

  • Our findings are useful for real estate investors and policy makers in real estate for their policy making to make the real estate market become efficient

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Summary

Introduction

It is well known that the standard deviation is not a good measure of risk because it penalizes upside deviation, as well as downside deviation. We extend the work of Darsinos and Satchell (2004) and others by proving that the preference of SSD (for risk averters) implies the preference of the corresponding Omega ratios are selected only when the return threshold is less than the mean of the higher return asset. Tsang et al (2016) extend their work to reexamine the relationship between property size and property investment in the same market They suggest to analyze both rental and total yields and find the FSD relationship of rental yield in adjacent pairings of different housing classes in Hong Kong. We extend their work by applying the Omega ratio to examine the relationship between property size and property investment in the Hong Kong real estate market.

Definitions of Stochastic Dominance and Omega Ratios
Consistency Results
Arbitrage Opportunity and Anomaly
Market Efficiency and Rationality
Illustration
Concluding Remarks
Full Text
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