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Weakening the Gain–Loss-Ratio measure to make it stronger

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  • Voelzke, Jan

Abstract

The Gain–Loss-Ratio, proposed by Bernardo and Ledoit (2000), can either be used as a performance measure on a market with known prices or to derive price intervals in incomplete markets. For both applications, there is a considerable theoretical drawback: it reaches infinity for nontrivial cases in many standard models with continuous probability space. In this paper, a more general ratio is proposed, which includes the original Gain–Loss-Ratio as a limit case. This “Substantial Gain–Loss-Ratio” is applicable in case of continuous probabilities. Additionally, in its function as a performance measure it helps illuminate the source of out-performance that a portfolio reveals.

Suggested Citation

  • Voelzke, Jan, 2015. "Weakening the Gain–Loss-Ratio measure to make it stronger," Finance Research Letters, Elsevier, vol. 12(C), pages 58-66.
  • Handle: RePEc:eee:finlet:v:12:y:2015:i:c:p:58-66
    DOI: 10.1016/j.frl.2014.11.007
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    References listed on IDEAS

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    1. John H. Cochrane & Jesus Saa-Requejo, 2000. "Beyond Arbitrage: Good-Deal Asset Price Bounds in Incomplete Markets," Journal of Political Economy, University of Chicago Press, vol. 108(1), pages 79-119, February.
    2. Massimiliano Caporin & Grégory M. Jannin & Francesco Lisi & Bertrand B. Maillet, 2014. "A Survey On The Four Families Of Performance Measures," Journal of Economic Surveys, Wiley Blackwell, vol. 28(5), pages 917-942, December.
    3. Antonio E. Bernardo & Olivier Ledoit, 2000. "Gain, Loss, and Asset Pricing," Journal of Political Economy, University of Chicago Press, vol. 108(1), pages 144-172, February.
    4. Rodríguez Longarela Iñaki, 2003. "A Simple Linear Programming Approach to Gain, Loss and Asset Pricing," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 2(1), pages 1-10, January.
    5. Alexander Cherny & Dilip Madan, 2009. "New Measures for Performance Evaluation," The Review of Financial Studies, Society for Financial Studies, vol. 22(7), pages 2371-2406, July.
    6. Dybvig, Philip H & Ingersoll, Jonathan E, Jr, 1982. "Mean-Variance Theory in Complete Markets," The Journal of Business, University of Chicago Press, vol. 55(2), pages 233-251, April.
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    Cited by:

    1. Caporin, Massimiliano & Costola, Michele & Jannin, Gregory & Maillet, Bertrand, 2018. "“On the (Ab)use of Omega?”," Journal of Empirical Finance, Elsevier, vol. 46(C), pages 11-33.
    2. Jan Voelzke & Jeanne Diesteldorf & Fabian Goessling & Till Weigt, 2017. "Investors' favourite - A different look at valuing individual labour income," CQE Working Papers 6017, Center for Quantitative Economics (CQE), University of Muenster.
    3. Jan Voelzke & Fabian Goessling, 2016. "Should We Like it? - A Social Welfare Based Quantification of Policy Attractiveness," CQE Working Papers 5716, Center for Quantitative Economics (CQE), University of Muenster.
    4. Jan Voelzke & Sebastian Mentemeier, 2017. "Computing the Substantial-Gain-Loss-Ratio," CQE Working Papers 5917, Center for Quantitative Economics (CQE), University of Muenster.
    5. Voelzke, Jan & Gößling, Fabian & Diesteldorf, Jeanne & Weigt, Till, 2017. "Investors' favourite - A different look at valuing individual labour income," VfS Annual Conference 2017 (Vienna): Alternative Structures for Money and Banking 168065, Verein für Socialpolitik / German Economic Association.
    6. J. Voelzke, 2016. "Individual labour income, stock prices and whom it may concern," Applied Economics Letters, Taylor & Francis Journals, vol. 23(13), pages 965-968, September.
    7. Righi, Marcelo Brutti, 2024. "Star-shaped acceptability indexes," Insurance: Mathematics and Economics, Elsevier, vol. 117(C), pages 170-181.
    8. Jan Voelzke & Sebastian Mentemeier, 2019. "Computing the Substantial-Gain–Loss-Ratio," Computational Economics, Springer;Society for Computational Economics, vol. 54(2), pages 613-624, August.

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    More about this item

    Keywords

    Gain–Loss-Ratio; Acceptability index; Incomplete markets; Good-Deal bounds;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • G19 - Financial Economics - - General Financial Markets - - - Other

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