[1] Tarnaud A C, Leleu H. Portfolio analysis with DEA: Prior to choosing a model[J]. Omega, 2018, 75: 57-76. [2] Murthi B P S, Choi Y K, Desai P. Efficiency of mutual funds and portfolio performance measurement: A non-parametric approach[J]. European Journal of Operational Research, 1997, 98(2): 408-418. [3] Basso A, Funari S. A data envelopment analysis approach to measure the mutual fund performance[J]. European Journal of Operational Research, 2001, 135(3): 477-492. [4] Chen Zhiping, Lin Ruiyue. Mutual fund performance evaluation using data envelopment analysis with new risk measures[J]. OR Spectrum, 2006, 28(3): 375-398. [5] Basso A, Funari S. Constant and variable returns to scale DEA models for socially responsible investment funds[J]. European Journal of Operational Research, 2014, 235(3): 775-783. [6] Ding Hui, Zhou Zhongbao, Xiao Helu, et al. Performance evaluation of portfolios with margin requirements[J]. Mathematical Problems in Engineering, 2014, 2014(4): 1-8. [7] Liu Wenbin, Zhou Zhonghao, Liu Debin, et al. Estimation of portfolio efficiency via DEA[J]. Omega, 2015, 52: 107-118. [8] 周忠宝,刘佩,喻怀宁,等. 考虑交易成本的多阶段投资组合评价方法研究[J]. 中国管理科学, 2015, 23(5): 1-6.Zhou Zhongbao, Liu Pei, Yu Huaining, et al. Performance evaluation of multi-period portfolios on considering transaction costs[J]. Chinese Journal of Management Science, 2015, 23(5): 1-6. [9] 周忠宝,丁慧,马超群,等. 考虑交易成本的投资组合效率估计方法[J]. 中国管理科学, 2015, 23(1): 25-33.Zhou Zhongbao, Ding Hui, Ma Chaoqun, et al. Technical efficiency evaluation approach for portfolios with transaction costs[J]. Chinese Journal of Management Science, 2015, 23(1): 25-33. [10] Basso A, Funari S. The role of fund size in the performance of mutual funds assessed with DEA models[J]. The European Journal of Finance, 2017, 23(6): 457-473. [11] 周忠宝,金倩颖,曾喜梅,等. 存在基数约束的投资组合效率评价方法[J]. 中国管理科学, 2017, 25(2): 174-179.Zhou Zhongbao, Jin Qianying, Zeng Ximei, et al. Performance evaluation of portfolios with cardinlity constraints[J]. Chinese Journal of Management Science, 2017, 25(2): 174-179. [12] Zhou Zhongbao, Xiao Helu, Jin Qianying, et al. DEA frontier improvement and portfolio rebalancing: An application of China mutual funds on considering sustainability information disclosure[J]. European Journal of Operational Research, 2018, 269(1): 111-131. [13] Allevi E, Basso A, Bonenti F, et al. Measuring the environmental performance of green SRI funds: A DEA approach[J]. Energy Economics, 2019, 79: 32-44. [14] Markowitz H. Portfolio selection[J]. The Journal of Finance, 1952, 7(1): 77-91. [15] Briec W, Kerstens K, Lesourd J B. Single-period markowitz portfolio selection, performance gauging, and duality: A variation on the luenberger shortage function[J]. Journal of Optimization Theory and Applications, 2004, 120(1): 1-27. [16] Joro T, Na P. Portfolio performance evaluation in a mean-variance-skewness framework[J]. European Journal of Operational Research, 2006, 175(1): 446-461. [17] Briec W, Kerstens K, Jokung O. Mean-variance-skewness portfolio performance gauging: A general shortage function and dual approach[J]. Management Science, 2007, 53(1): 135-149. [18] Lamb J D, Tee K H. Data envelopment analysis models of investment funds[J]. European Journal of Operational Research, 2012, 216(3): 687-696. [19] Branda M. Diversification-consistent data envelopment analysis based on directional-distance measures[J]. Omega, 2015, 52: 65-76. [20] Lin Ruiyue, Li Zongxin. Directional distance based diversification super-efficiency DEA models for mutual funds[J]. Omega, 2019: 102096. [21] Land K C, Lovell C K, Thore S. Chance-constrained data envelopment analysis[J]. Managerial and decision economics, 1993, 14(6): 541-554. [22] Cooper W W, Huang Z, Li S X. Satisficing DEA models under chance constraints[J]. Annals of operations research, 1996, 66(4): 279-295. [23] Simon H A. Models of man[M]. New York: Wiley, 1957. [24] Sueyoshi T. Stochastic DEA for restructure strategy: an application to a Japanese petroleum company[J]. Omega, 2000, 28(4): 385-398. [25] Huang Zhimin, Li S X. Stochastic DEA models with different types of input-output disturbances[J]. Journal of Productivity Analysis, 2001, 15(2): 95-113. [26] Cooper W W, Deng H, Huang Z, et al. Chance constrained programming approaches to technical efficiencies and inefficiencies in stochastic data envelopment analysis[J]. Journal of the Operational Research Society, 2002, 53(12): 1347-1356. [27] Cooper W W, Deng H, Huang Zhimin, et al. Chance constrained programming approaches to congestion in stochastic data envelopment analysis[J]. European Journal of Operational Research, 2004, 155(2): 487-501. [28] Wu D D, Lee C. Stochastic DEA with ordinal data applied to a multi-attribute pricing problem[J]. European Journal of Operational Research, 2010, 207(3): 1679-1688. [29] Tsionas E G, Papadakis E N. A Bayesian approach to statistical inference in stochastic DEA[J]. Omega, 2010, 38(5): 309-314. [30] 虞晓雯,雷明,王其文,等. 中国商业银行效率的实证分析(2005-2011)——基于时间序列回归和随机DEA的机会约束模型[J]. 中国管理科学, 2012, 20(S1): 356-362.Yu Xiaowen, Lei Ming, Wang Qiwen, et al. Chinese commercial bank's efficiency (2005-2011): Based on time-series regression and chance-constrained DEA model[J]. Chinese Journal of Management Science, 2012, 20(S1): 356-362. [31] 崔玉泉,张宪,芦希,等. 随机加权交叉效率下的资源分配问题研究[J]. 中国管理科学, 2015, 23(1): 121-127.Cui Yuquan, Zhang Xian, Lu Xi, et al. Research the resource allocation problem in stochastic weighted cross efficiency[J]. Chinese Journal of Management Science, 2015, 23(1): 121-127. [32] Olesen O B, Petersen N C. Stochastic data envelopment analysis—A review[J]. European Journal of Operational Research, 2016, 251(1): 2-21. [33] Liu Wenli, Wang Yingming, Lyu Shulong. The upper and lower bound evaluation based on the quantile efficiency in stochastic data envelopment analysis[J]. Expert Systems with Applications, 2017, 85: 14-24. [34] Chen Kun, Zhu J. Computational tractability of chance constrained data envelopment analysis[J]. European Journal of Operational Research, 2019, 274(3): 1037-1046. [35] Liu Wenbin, Zhang Daqun, Meng Wei, et al. A study of DEA models without explicit inputs[J]. Omega, 2011, 39(5): 472-480. [36] Yang Guoliang, Shen Wanfang, Zhang Daqun, et al. Extended utility and DEA models without explicit input[J]. Journal of the Operational Research Society, 2014, 65(8): 1212-1220. [37] Cooper W W, Huang Zhimin, Lelas V, et al. Chance constrained programming formulations for stochastic characterizations of efficiency and dominance in DEA[J]. Journal of Productivity Analysis, 1998, 9(1): 53-79. [38] Cooper W W, Deng H, Huang Zhimin, et al. Chance constrained programming approaches to technical efficiencies and inefficiencies in stochastic data envelopment analysis[J]. Journal of the Operational Research Society, 2002, 53(12): 1347-1356. [39] Zhou Zhongbao, Lin Ling, Xiao Helu, et al. Stochastic network DEA models for two-stage systems under the centralized control organization mechanism[J]. Computers & Industrial Engineering, 2017, 110: 404-412.
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