Yi Fang

Personal Details

First Name:	Yi
Middle Name:
Last Name:	Fang
Suffix:
RePEc Short-ID:	pfa319
	[This author has chosen not to make the email address public]

Affiliation

Center for Quantitative Economics
Jilin University

Changchun, China
http://www.jlucqe.org/
RePEc:edi:cqjlicn (more details at EDIRC)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

1. Fang, Yi & Wang, Haiping, 2014. "Fund Manager Characteristics and Performance," MPRA Paper 60012, University Library of Munich, Germany.
   • Fang, Yi & Wang, Haiping, 2014. "Fund Manager Characteristics and Performance," MPRA Paper 60013, University Library of Munich, Germany.

   Cited by:

   1. Adam Farago & Martin Holmén & Felix Holzmeister & Michael Kirchler & Michael Razen, 2019. "Cognitive Skills and Economic Preferences in the Fund Industry," Working Papers 2019-16, Faculty of Economics and Statistics, Universität Innsbruck.
      • Farago, Adam & Holmén, Martin & Holzmeister, Felix & Kirchler, Michael & Razen, Michael, 2019. "Cognitive Skills and Economic Preferences in the Fund Industry," OSF Preprints 964ba, Center for Open Science.
   2. Li, Lu & Li, Yang & Wang, Xueding & He, Yuqian, 2021. "Limited attention, managerial multitasking, and hedge fund performance in China," Pacific-Basin Finance Journal, Elsevier, vol. 67(C).

Articles

1. Fang, Yi & Post, Thierry, 2022. "Optimal portfolio choice for higher-order risk averters," Journal of Banking & Finance, Elsevier, vol. 137(C).

   Cited by:

   1. Brendan K. Beare, 2022. "Optimal measure preserving derivatives revisited," Papers 2201.09108, arXiv.org, revised Dec 2022.
      • Brendan K. Beare, 2023. "Optimal measure preserving derivatives revisited," Mathematical Finance, Wiley Blackwell, vol. 33(2), pages 370-388, April.
   2. Mateane, Lebogang, 2023. "Risk preferences, global market conditions and foreign debt: Is there any role for the currency composition of FX reserves?," Research in Economics, Elsevier, vol. 77(3), pages 402-418.
   3. Chan, Raymond H. & Chow, Sheung-Chi & Guo, Xu & Wong, Wing-Keung, 2022. "Central moments, stochastic dominance, moment rule, and diversification with an application," Chaos, Solitons & Fractals, Elsevier, vol. 161(C).
   4. Conlon, Thomas & Cotter, John & Kovalenko, Illia & Post, Thierry, 2023. "A financial modeling approach to industry exchange-traded funds selection," Journal of Empirical Finance, Elsevier, vol. 74(C).
   5. Kolokolova, Olga & Xu, Xia, 2024. "Enhancing betting against beta with stochastic dominance," Journal of Empirical Finance, Elsevier, vol. 76(C).

2. Fang, Yi & Niu, Hui & Tong, Xiangda, 2022. "Crash probability anomaly in the Chinese stock market," Finance Research Letters, Elsevier, vol. 44(C).

   Cited by:

   1. Fang, Yi & Niu, Hui & Lin, Yuen, 2023. "Ex-ante Valuation based on Prospect Theory," MPRA Paper 116386, University Library of Munich, Germany.

3. Fang, Yi & Post, Thierry, 2017. "Higher-degree stochastic dominance optimality and efficiency," European Journal of Operational Research, Elsevier, vol. 261(3), pages 984-993.

   Cited by:

   1. Asano, Takao & Osaki, Yusuke, 2021. "Optimal investment under ambiguous technology shocks," European Journal of Operational Research, Elsevier, vol. 293(1), pages 304-311.
   2. Jia Liu & Zhiping Chen & Giorgio Consigli, 2021. "Interval-based stochastic dominance: theoretical framework and application to portfolio choices," Annals of Operations Research, Springer, vol. 307(1), pages 329-361, December.
   3. Gordon John Anderson & Teng Wah Leo, 2021. "Sufficient Conditions for j'th Order Stochastic Dominance for Discrete Cardinal Variables, and Their Formulae," Working Papers tecipa-704, University of Toronto, Department of Economics.
      • Anderson, Gordon & Leo, Teng Wah, 2021. "Sufficient conditions for jth order stochastic dominance for discrete cardinal variables, and their formulae," Economics Letters, Elsevier, vol. 209(C).
   4. Mehmet Pinar & Thanasis Stengos & Nikolas Topaloglou, 2022. "Stochastic dominance spanning and augmenting the human development index with institutional quality," Annals of Operations Research, Springer, vol. 315(1), pages 341-369, August.
   5. Kallio, Markku & Dehghan Hardoroudi, Nasim, 2019. "Advancements in stochastic dominance efficiency tests," European Journal of Operational Research, Elsevier, vol. 276(2), pages 790-794.
   6. Vinod, H.D., 2024. "Portfolio choice algorithms, including exact stochastic dominance," Journal of Financial Stability, Elsevier, vol. 70(C).
   7. Chan, Raymond H. & Chow, Sheung-Chi & Guo, Xu & Wong, Wing-Keung, 2022. "Central moments, stochastic dominance, moment rule, and diversification with an application," Chaos, Solitons & Fractals, Elsevier, vol. 161(C).
   8. Bar Light & Andres Perlroth, 2019. "The Family of Alpha,[a,b] Stochastic Orders: Risk vs. Expected Value," Papers 1908.06398, arXiv.org, revised Apr 2021.
      • Light, Bar & Perlroth, Andres, 2021. "The Family of Alpha,[a,b] Stochastic Orders: Risk vs. Expected Value," Journal of Mathematical Economics, Elsevier, vol. 96(C).
   9. Courtois, Olivier Le & Xu, Xia, 2023. "Semivariance below the maximum: Assessing the performance of economic and financial prospects," Journal of Economic Behavior & Organization, Elsevier, vol. 209(C), pages 185-199.
   10. Tatiana Morozova & Ravil Akhmadeev & Liubov Lehoux & Alexei Valerievich Yumashev & Galina Vladimirovna Meshkova & Marina Lukiyanova, 2020. "Crypto asset assessment models in financial reporting content typologies," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 7(3), pages 2196-2212, March.
   11. Fang, Yi & Post, Thierry, 2022. "Optimal portfolio choice for higher-order risk averters," Journal of Banking & Finance, Elsevier, vol. 137(C).
   12. Kolokolova, Olga & Xu, Xia, 2024. "Enhancing betting against beta with stochastic dominance," Journal of Empirical Finance, Elsevier, vol. 76(C).
   13. Giovanni Bernardo & Irene Brunetti & Mehmet Pinar & Thanasis Stengos, 2021. "Measuring the presence of organized crime across Italian provinces: a sensitivity analysis," European Journal of Law and Economics, Springer, vol. 51(1), pages 31-95, February.
   14. Kolokolova, Olga & Le Courtois, Olivier & Xu, Xia, 2022. "Is the index efficient? A worldwide tour with stochastic dominance," Journal of Financial Markets, Elsevier, vol. 59(PB).
   15. Pinar, Mehmet & Stengos, Thanasis & Topaloglou, Nikolas, 2020. "On the construction of a feasible range of multidimensional poverty under benchmark weight uncertainty," European Journal of Operational Research, Elsevier, vol. 281(2), pages 415-427.
   16. Takao Asano & Yusuke Osaki, 2020. "Portfolio allocation problems between risky and ambiguous assets," Annals of Operations Research, Springer, vol. 284(1), pages 63-79, January.
   17. Liesiö, Juuso & Xu, Peng & Kuosmanen, Timo, 2020. "Portfolio diversification based on stochastic dominance under incomplete probability information," European Journal of Operational Research, Elsevier, vol. 286(2), pages 755-768.

4. Thierry Post & Yi Fang & Miloš Kopa, 2015. "Linear Tests for Decreasing Absolute Risk Aversion Stochastic Dominance," Management Science, INFORMS, vol. 61(7), pages 1615-1629, July.

   Cited by:

   1. Jia Liu & Zhiping Chen & Giorgio Consigli, 2021. "Interval-based stochastic dominance: theoretical framework and application to portfolio choices," Annals of Operations Research, Springer, vol. 307(1), pages 329-361, December.
   2. Thierry Post & Valerio Potì, 2017. "Portfolio Analysis Using Stochastic Dominance, Relative Entropy, and Empirical Likelihood," Management Science, INFORMS, vol. 63(1), pages 153-165, January.
   3. Gao, Jianwei & Zhao, Feng, 2017. "Sufficient conditions of stochastic dominance for general transformations and its application in option strategy," Economics Discussion Papers 2017-40, Kiel Institute for the World Economy (IfW Kiel).
   4. Josef Jablonský & Michal Černý & Juraj Pekár, 2022. "The last dozen of years of OR research in Czechia and Slovakia," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(2), pages 435-447, June.
   5. Sebastiano Vitali & Vittorio Moriggia, 2021. "Pension fund management with investment certificates and stochastic dominance," Annals of Operations Research, Springer, vol. 299(1), pages 273-292, April.
   6. Courtois, Olivier Le & Xu, Xia, 2023. "Semivariance below the maximum: Assessing the performance of economic and financial prospects," Journal of Economic Behavior & Organization, Elsevier, vol. 209(C), pages 185-199.
   7. Audrius Kabašinskas & Kristina Šutienė & Miloš Kopa & Kęstutis Lukšys & Kazimieras Bagdonas, 2020. "Dominance-Based Decision Rules for Pension Fund Selection under Different Distributional Assumptions," Mathematics, MDPI, vol. 8(5), pages 1-26, May.

5. Fang, Yi, 2012. "Aggregate investor preferences and beliefs in stock market: A stochastic dominance analysis," Journal of Empirical Finance, Elsevier, vol. 19(4), pages 528-547.

   Cited by:

   1. Post, Thierry & Kopa, Miloš, 2013. "Aggregate investor preferences and beliefs: A comment," Journal of Empirical Finance, Elsevier, vol. 23(C), pages 187-190.
   2. Fang, Yi & Niu, Hui & Lin, Yuen, 2023. "Ex-ante Valuation based on Prospect Theory," MPRA Paper 116386, University Library of Munich, Germany.
   3. Emilios C. C Galariotis & Phil Holmes & Vasileios Kallinterakis & Xiaodong S. Ma, 2014. "Market states, expectations, sentiment and momentum: How naive are investors?," Post-Print hal-00943345, HAL.

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