Abstract
Farinelli and Tibiletti (F–T) ratio, a general risk-reward performance measurement ratio, is popular due to its simplicity and yet generality that both Omega ratio and upside potential ratio are its special cases. The F–T ratios are ratios of average gains to average losses with respect to a target, each raised by a power index, p and q. In this paper, we establish the consistency of F–T ratios with any nonnegative values p and q with respect to first-order stochastic dominance. Second-order stochastic dominance does not lead to F–T ratios with any nonnegative values p and q, but can lead to F–T dominance with any \(p<1\) and \(q\ge 1\). Furthermore, higher-order stochastic dominance (\(n\ge 3\)) leads to F–T dominance with any \(p<1\) and \(q\ge n-1\). We also find that when the variables being compared belong to the same location-scale family or the same linear combination of location-scale families, we can get the necessary relationship between the stochastic dominance with the F–T ratio after imposing some conditions on the means. There are many advantages of using the F–T ratio over other measures, and academics and practitioners can benefit by using the theory we developed in this paper. For example, the F–T ratio can be used to detect whether there is any arbitrage opportunity in the market, whether there is any anomaly in the market, whether the market is efficient, whether there is any preference of any higher-order moment in the market, and whether there is any higher-order stochastic dominance in the market. Thus, our findings enable academics and practitioners to draw better decision in their analysis.
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Notes
Levy (2015) denotes it as RSSD while we denote it as RSD.
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Acknowledgements
The authors are grateful to the Editor-in-Chief, Igor Lončarski, the associate editor, and two anonymous referees for substantive comments that have significantly improved this manuscript. The third author would like to thank Robert B. Miller and Howard E. Thompson for their continuous guidance and encouragement. This research has been partially supported by grants from National Natural Science Foundation of China NSFC (11701034, 11601227, 71602089), National Social Science Fund of China (NSSFC-16BTJ013, NSSFC-16ZDA010), Sichuan Social Science Fund (SC14B091), Sichuan Project of Science and Technology (2016JY0273), the Natural and Social Science Foundation of Jiangsu Province (BK20160785 and 16GLC001), Asia University, China Medical University Hospital, The Hang Seng University of Hong Kong, the Research Grants Council of Hong Kong (Project No. 12500915), and Ministry of Science and Technology (MOST, Project Nos. 106-2410-H-468-002 and 107-2410-H-468-002-MY3), Taiwan.
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Guo, X., Niu, C. & Wong, WK. Farinelli and Tibiletti ratio and stochastic dominance. Risk Manag 21, 201–213 (2019). https://doi.org/10.1057/s41283-019-00050-2
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DOI: https://doi.org/10.1057/s41283-019-00050-2
Keywords
- First-order stochastic dominance
- High-order stochastic dominance
- Upside potential ratio
- Farinelli and Tibiletti ratio
- Risk measures