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An Evaluation Of Risk And Return Performance Measure Alternatives: Evidence From Real Estate Mutual Funds

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  • James L. Kuhle
  • Eric C. Lin

Abstract

This paper examines the appropriate measure of performance for real estate mutual funds. Several popular performance measures including Sharpe, Treynor and Sortino measures are evaluated. The results demonstrate that the Sharpe index outperforms the other two alternatives. In order to consider these various methods as consistent, a certain degree of agreement in rankings between the measurements should exist. The concordance correlation coefficient (CCC) is an index that assesses the strength of agreement between rankings and it has been widely applied in situations in which ranking measurements are made. This research aims to explore the consistency of the risk-adjusted performance between the Sharpe index, the Treynor index, and the Sortino ratio. Mutual funds within the Real Estate sector are analyzed using the CCC to determine if the various rankings of the three different risk/return measurements are significantly different. This analysis is an attempt to determine which measure of risk-adjusted returns may be a better indicator of overall performance based on ex-post data. The data considered extends for a ten-year period from 2007 to 2016 and results suggest that the Sharpe Ratio outperforms the Treynor index and the Sortino ratio in determining the risk-adjusted performance of real estate mutual funds

Suggested Citation

  • James L. Kuhle & Eric C. Lin, 2018. "An Evaluation Of Risk And Return Performance Measure Alternatives: Evidence From Real Estate Mutual Funds," Review of Business and Finance Studies, The Institute for Business and Finance Research, vol. 9(1), pages 1-11.
    • Handle: RePEc:ibf:rbfstu:v:9:y:2018:i:1:p:1-11
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    References listed on IDEAS

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    1. Meyer, Jack & Rasche, Robert H, 1992. "Sufficient Conditions for Expected Utility to Imply Mean-Standard Deviation Rankings: Empirical Evidence Concerning the Location and Scale Condition," Economic Journal, Royal Economic Society, vol. 102(410), pages 91-106, January.
    2. Yen-Hsien Lee, 2014. "An international analysis of REITs and stock portfolio management based on dynamic conditional correlation models," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 28(2), pages 165-180, May.
    3. Schuhmacher, Frank & Eling, Martin, 2012. "A decision-theoretic foundation for reward-to-risk performance measures," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 2077-2082.
    4. Eling, Martin & Schuhmacher, Frank, 2007. "Does the choice of performance measure influence the evaluation of hedge funds?," Journal of Banking & Finance, Elsevier, vol. 31(9), pages 2632-2647, September.
    5. Farinelli, Simone & Ferreira, Manuel & Rossello, Damiano & Thoeny, Markus & Tibiletti, Luisa, 2008. "Beyond Sharpe ratio: Optimal asset allocation using different performance ratios," Journal of Banking & Finance, Elsevier, vol. 32(10), pages 2057-2063, October.
    6. James L. Kuhle, 1987. "Portfolio Diversification and Return Benefits--Common Stock vs. Real Estate Investment Trusts (REITs)," Journal of Real Estate Research, American Real Estate Society, vol. 2(2), pages 1-9.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Real Estate; Mutual Funds; Morningstar; Risk-Adjusted Return;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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