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Characteristics of Long-run Return and Risk: a Unified Performance Metric

Ping Cheng (), Zhenguo Lin () and Yingchun Liu ()
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Ping Cheng: Florida Atlantic University
Zhenguo Lin: Florida International University
Yingchun Liu: University of North Texas

Journal of Real Estate Research, 2017, vol. 39, issue 2, 165_188

Abstract: It is well documented in the literature that long-run asset prices do not follow a random walk, thus their returns are not independent and identically-distributed (i.i.d.) over time. But how can this notion - long-run returns and volatilities being horizon dependent - be incorporated into formal pricing models? This paper is a step toward that direction by developing a unified risk-adjusted return metric that is applicable to both private assets and public securities. Since such metric is based on a pair of empirically determined return and risk characteristic lines that depict the horizon impact on return and volatility, our performance metric is rooted in empirical evidence rather than assumptions. Empirical results suggest that long-run asset performance cannot be adequately measured by single-period return and volatility. Rather, prudent long-run investment decision must give careful consideration of the anticipated holding period and proper understanding the long-run return and risk characteristics.

JEL-codes: L85 (search for similar items in EconPapers)
Date: 2017
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