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

Author

Listed:
  • Ping Cheng

    (Florida Atlantic University)

  • Zhenguo Lin

    (Florida International University)

  • Yingchun Liu

    (University of North Texas)

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.

Suggested Citation

  • Ping Cheng & Zhenguo Lin & Yingchun Liu, 2017. "Characteristics of Long-run Return and Risk: a Unified Performance Metric," Journal of Real Estate Research, American Real Estate Society, vol. 39(2), pages 165-188.
  • Handle: RePEc:jre:issued:v:39:n:2:2017:p:165_188
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    Cited by:

    1. Monica Billio & Bertrand Maillet & Loriana Pelizzon, 2022. "A meta-measure of performance related to both investors and investments characteristics," Annals of Operations Research, Springer, vol. 313(2), pages 1405-1447, June.

    More about this item

    JEL classification:

    • L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services

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