A State-of-the-Art Fund Performance Index: Higher-Order Omega and Its Consistency with Almost Stochastic Dominance
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- William F. Sharpe, 1965. "Mutual Fund Performance," The Journal of Business, University of Chicago Press, vol. 39, pages 119-119.
- Xu Guo & Xuejun Jiang & Wing-Keung Wong, 2017. "Stochastic Dominance and Omega Ratio: Measures to Examine Market Efficiency, Arbitrage Opportunity, and Anomaly," Economies, MDPI, vol. 5(4), pages 1-16, October.
- Haim Levy & Moshe Leshno & Boaz Leibovitch, 2010. "Economically relevant preferences for all observed epsilon," Annals of Operations Research, Springer, vol. 176(1), pages 153-178, April.
- Zhidong Bai & Hua Li & Michael McAleer & Wing-Keung Wong, 2015.
"Stochastic dominance statistics for risk averters and risk seekers: an analysis of stock preferences for USA and China,"
Quantitative Finance, Taylor & Francis Journals, vol. 15(5), pages 889-900, May.
- Zhidong Bai & Hua Li & Michael McAleer & Wing-Keung Wong, 2012. "Stochastic Dominance Statistics for Risk Averters and Risk Seekers: An Analysis of Stock Preferences for USA and China," Documentos de Trabajo del ICAE 2012-13, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Zhidong Bai & Hua Li & Michael McAleer & Wing-Keung Wong, 2012. "Stochastic Dominance Statistics for Risk Averters and Risk Seekers: An Analysis of Stock Preferences for USA and China," KIER Working Papers 820, Kyoto University, Institute of Economic Research.
- Larry Y. Tzeng & Rachel J. Huang & Pai-Ta Shih, 2013. "Revisiting Almost Second-Degree Stochastic Dominance," Management Science, INFORMS, vol. 59(5), pages 1250-1254, May.
- Turan G. Bali & Stephen J. Brown & K. Ozgur Demirtas, 2013. "Do Hedge Funds Outperform Stocks and Bonds?," Management Science, INFORMS, vol. 59(8), pages 1887-1903, August.
- Russell Davidson & Jean-Yves Duclos, 2000.
"Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality,"
Econometrica, Econometric Society, vol. 68(6), pages 1435-1464, November.
- Davidson, R. & Duclos, J.-Y., 1998. "Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality," G.R.E.Q.A.M. 98a14, Universite Aix-Marseille III.
- Russell Davidson & Jean-Yves Duclos, 1998. "Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality," LIS Working papers 181, LIS Cross-National Data Center in Luxembourg.
- Davidson, Russell & Duclos, Jean-Yves, 1998. "Statistical Inference for Stochastic Dominance and for the Measurement of Poverty and Inequality," Cahiers de recherche 9805, Université Laval - Département d'économique.
- Alfred Müller & Marco Scarsini & Ilia Tsetlin & Robert L. Winkler, 2017. "Between First- and Second-Order Stochastic Dominance," Management Science, INFORMS, vol. 63(9), pages 2933-2947, September.
- Jan Heufer, 2014. "Generating Random Optimising Choices," Computational Economics, Springer;Society for Computational Economics, vol. 44(3), pages 295-305, October.
- Bi, Hongwei & Huang, Rachel J. & Tzeng, Larry Y. & Zhu, Wei, 2019. "Higher-order Omega: A performance index with a decision-theoretic foundation," Journal of Banking & Finance, Elsevier, vol. 100(C), pages 43-57.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Bignozzi, Valeria & Merlo, Luca & Petrella, Lea, 2024. "Inter-order relations between equivalence for Lp-quantiles of the Student's t distribution," Insurance: Mathematics and Economics, Elsevier, vol. 116(C), pages 44-50.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018.
"Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections,"
JRFM, MDPI, vol. 11(1), pages 1-29, March.
- Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Econometric Institute Research Papers EI2018-08, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Chia-Lin Chang & Michael McALeer & Wing-Keung Wong, 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Tinbergen Institute Discussion Papers 18-011/III, Tinbergen Institute.
- Chia-Lin Chang & Wing-Keung Wong & Michael McAleer, 2018. "Big data, computational science, economics, finance, marketing, management, and psychology: connections," Documentos de Trabajo del ICAE 2018-05, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018.
"Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections,"
Tinbergen Institute Discussion Papers
18-024/III, Tinbergen Institute.
- Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2018. "Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections," Econometric Institute Research Papers 18-024/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, and Big Data: Connections," Documentos de Trabajo del ICAE 2018-09, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018. "Decision Sciences, Economics, Finance, Business, Computing, And Big Data: Connections," Advances in Decision Sciences, Asia University, Taiwan, vol. 22(1), pages 36-94, December.
- Bi, Hongwei & Zhu, Wei, 2022. "Nonmonotonic risk preferences over lottery comparison," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1458-1468.
- Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018.
"Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections,"
Journal of Risk and Financial Management,
MDPI, Open Access Journal, vol. 11(1), pages 1-29, March.
- Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Econometric Institute Research Papers EI2018-08, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Econometric Institute Research Papers EI 2018-08, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Chia-Lin Chang & Michael McALeer & Wing-Keung Wong, 2018. "Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology: Connections," Tinbergen Institute Discussion Papers 18-011/III, Tinbergen Institute.
- Chia-Lin Chang & Wing-Keung Wong & Michael McAleer, 2018. "Big data, computational science, economics, finance, marketing, management, and psychology: connections," Documentos de Trabajo del ICAE 2018-05, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Guo, Xu & Wong, Wing-Keung & Zhu, Lixing, 2013. "Make Almost Stochastic Dominance really Almost," MPRA Paper 49745, University Library of Munich, Germany.
- Wing-Keung Wong & Hooi Hoi Lean & Michael McAleer & Feng-Tse Tsai, 2018.
"Why did Warrant Markets Close in China but not Taiwan?,"
Tinbergen Institute Discussion Papers
18-051/III, Tinbergen Institute.
- Wong, W.-K. & Lean, H.H. & McAleer, M.J. & Tsai, F.-T., 2018. "Why did Warrant Markets Close in China but not Taiwan?," Econometric Institute Research Papers EI2018-22, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Zhihui Lv & Amanda M. Y. Chu & Wing Keung Wong & Thomas C. Chiang, 2021. "The maximum-return-and-minimum-volatility effect: evidence from choosing risky and riskless assets to form a portfolio," Risk Management, Palgrave Macmillan, vol. 23(1), pages 97-122, June.
- Kim-Hung Pho & Tuan-Kiet Tran & Thi Diem-Chinh Ho & Wing-Keung Wong, 2019. "Optimal Solution Techniques in Decision Sciences A Review," Advances in Decision Sciences, Asia University, Taiwan, vol. 23(1), pages 114-161, March.
- Denuit, Michel M. & Huang, Rachel J. & Tzeng, Larry Y. & Wang, Christine W., 2014.
"Almost marginal conditional stochastic dominance,"
Journal of Banking & Finance, Elsevier, vol. 41(C), pages 57-66.
- Denuit, Michel & Huang, Rachel & Tzeng, Larry, 2012. "Almost Marginal Conditional Stochastic Dominance," LIDAM Discussion Papers ISBA 2012033, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Denuit, Michel & Huang, Rachel J. & Wang, Christine, 2014. "Almost marginal conditional stochastic dominance," LIDAM Reprints ISBA 2014003, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
- Jackwerth, Jens Carsten & Slavutskaya, Anna, 2016. "The total benefit of alternative assets to pension fund portfolios," Journal of Financial Markets, Elsevier, vol. 31(C), pages 25-42.
- Stelios Arvanitis & Thierry Post & Nikolas Topaloglou, 2021. "Stochastic Bounds for Reference Sets in Portfolio Analysis," Management Science, INFORMS, vol. 67(12), pages 7737-7754, December.
- Chin Hon Tan & Chunling Luo, 2017. "Clear Preferences Under Partial Distribution Information," Decision Analysis, INFORMS, vol. 14(1), pages 65-73, March.
- Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2016.
"Management science, economics and finance: A connection,"
Documentos de Trabajo del ICAE
2016-07, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
- Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2016. "Management Science, Economics and Finance: A Connection," Tinbergen Institute Discussion Papers 16-040/III, Tinbergen Institute.
- Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2016. "Management Science, Economics and Finance: A Connection," Econometric Institute Research Papers EI2016-26, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Lee, Yung-Tsung & Kung, Ko-Lun & Liu, I-Chien, 2018. "Profitability and risk profile of reverse mortgages: A cross-system and cross-plan comparison," Insurance: Mathematics and Economics, Elsevier, vol. 78(C), pages 255-266.
- Chia-Lin Chang & Michael McAleer & Wing-Keung Wong, 2018.
"Management Information, Decision Sciences, and Financial Economics: A Connection,"
Tinbergen Institute Discussion Papers
18-004/III, Tinbergen Institute.
- Chang, C-L. & McAleer, M.J. & Wong, W.-K., 2018. "Management Information, Decision Sciences, and Financial Economics : a connection," Econometric Institute Research Papers 2018-004/III, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Chin Hon Tan, 2015. "Weighted Almost Stochastic Dominance: Revealing the Preferences of Most Decision Makers in the St. Petersburg Paradox," Decision Analysis, INFORMS, vol. 12(2), pages 74-80, June.
- Raymond H. Chan & Ephraim Clark & Xu Guo & Wing-Keung Wong, 2020. "New development on the third-order stochastic dominance for risk-averse and risk-seeking investors with application in risk management," Risk Management, Palgrave Macmillan, vol. 22(2), pages 108-132, June.
- Francesco Cesarone & Justo Puerto, 2024. "New approximate stochastic dominance approaches for Enhanced Indexation models," Papers 2401.12669, arXiv.org.
- Trung K. Do, 2021. "Socially responsible investing portfolio: An almost stochastic dominance approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(1), pages 1122-1132, January.
More about this item
Keywords
higher-order Omega; Almost Stochastic Dominance rules; fund performance evaluation;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jjrfmx:v:15:y:2022:i:10:p:438-:d:927900. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.