基金家族的绩效与风险及相关关系研究
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摘要
近年来,随着中国基金业的飞速发展,基金家族已经成为基金市场最重要的存在形式,受到越来越广泛的关注。基金家族内部各基金之间存在着错综复杂的关系,既相互竞争又相互合作,在提高基金市场平均收益的同时也加大了基金市场的波动性。基金家族的整体绩效和风险是基金家族所有投资者效益和风险的集中体现:一方面,单只基金作为基金家族的一个成员,其业绩表现以及风险状况等必然会受其所在基金家族影响;另一方面,家族绩效和风险将影响投资者对基金家族内单只基金的认知,进而影响投资者的决策。基金家族成员的投资风格趋同和投资风格漂移,以及基金家族所属基金管理公司的股权结构对家族绩效和风险都有着显著的影响。由此可见,开展基金家族绩效与风险的研究具有重要的理论价值和现实意义。
     针对当前基金相关文献大多只是基于单只基金层面的绩效和风险研究的片面性和局限性,以及基金绩效与风险关系研究的匮乏性,本文对基金家族的绩效、风险、投资风格漂移和所属基金管理公司股权结构等对二者的影响,以及这它们之间的关系进行定量研究。
     本文首先进行相关理论分析,从定性角度剖析有关基金和基金家族的基本问题,包括基本概念,与绩效评价相关的资本资产定价理论、套利定价理论和数据包络分析理论,以及与风险分析相关的信息不对称理论、委托代理理论、投资者有限注意理论和投资组合理论,从而为基金家族绩效和风险的研究奠定基础。然后,选取中国证券市场2006年1月1日前推出的96只开放式偏股型基金构成的31个基金家族为研究对象,以基金的期初单位净值、单位运营费用、收益率标准差为输入变量,基金净值增长率、平均收益率和Sharpe比率为输出变量,采用超效率DEA方法评价基金家族绩效;根据投资组合的思想,结合多元t-Copula联合分布函数在刻画相关关系方面的优势和VaR风险测度法度量下方风险的特点,构建一个t-Copula-VaR模型,度量基金家族风险;采用基于风格分析模型的SDS方法测量投资风格漂移程度,利用测量结果分析投资风格漂移对基金家族绩效和风险的影响;构建截面回归模型,分析基金管理公司股权机构对基金家族绩效和风险的影响;考虑不同经济形势的影响,采用回归分析法研究金融危机前、危机期间和危机后基金家族绩效与风险之间的关系。最后,总结基金家族发展存在的问题以及未来发展趋势,并在此基础上提出中国市场基金家族发展的3大创新策略。
     基金家族绩效评价的研究结果表明,在研究期间中国市场各基金家族之间绩效差距较大,且大部分基金家族为DEA无效,此外基金家族在绩效持续性方面并没有表现出统一的特征;在基金家族风险度量研究中,多元t-Copula函数的非正态、非线性相关系数矩阵的计算结果显示,同一基金家族内部各成员基金之间存在较强的相关关系,并且基金家族所含基金的数目的多少对于整个基金家族的风险值的大小并无显著的影响;基金家族投资风格漂移对基金家族绩效和风险的影响研究表明,基金家族的投资风格漂移程度较大,它与基金家族绩效是负相关的,而与家族风险水平则是正相关的,并且基金家族绩效和风险具有明显的持续性;基金管理公司股权结构对基金家族绩效和风险的影响研究表明,中国市场基金家族绩效和风险与所属基金管理公司股权集中度均呈现U型关系。此外,基金管理公司第一大股东控制力的增强以及外资的引入有助于提升基金家族绩效,但也会使基金家族面临更大的风险;基金家族风险与绩效的关系研究结论显示,不同的经济形式下二者表现出不同的相关关系,金融危机之前和危机期间两者显著负相关,而危机之后两者关系不显著。
In recent years, Chinese fund industry has made rapid development, and fundfamily has become the most important existing form in the fund industry. It gets moreand more extensive attention and becomes a hot issue. The relationships among fundfamily members are complicated, both competition and cooperation, which increasingthe average income and the market volatility of fund market. The overall performanceand risk of fund family are concentrated expression of benefit to all the investors of thefund family. On one hand, single fund as a member of the family fund, its performanceand risk condition are influenced by fund family. On the other hand, family performanceand risk will affect investors' cognition to single fund and affect investors' decision-making. The investment style and shareholding structure of the fund family have asignificant influence on performance and risk. Thus, the research on performance andrisk of fund family and their relationship has important theoretical and practicalsignificance.
     In view of the current fund research, only based on single fund levels of fu ndperformance and fund risk are one-sided and limited, and studies on the relationshipbetween fund performance and risk are few. This dissertation studies on fund familyperformance and risk, the influence of investment style drift and shareholding structureon both fund family performance and risk, and the relationship between them. The mainresearch contents are as follows:
     Firstly, this dissertation analyzes the related theories, makes qualitative analysisabout fund and fund family' related basic theory, including the basic concepts,performance evaluation related theories of Capital Asset Pricing theory, ArbitragePricing theory, Data Envelopment Analysis theory, and risk analysis related theories ofInformation Asymmetry theory, Principal-Agent theory, Limited Rational theory andPortfolio theory. All these lay foundation for the research about family fundperformance and risk. Secondly, this dissertation selects31fund families comprised by96funds established before January1,2006, adopting super-efficiency DEA model toevaluate fund family performance by taking initial unit net value, unit operating costs,yield standard deviation as the input variables, and taking the net value growth rate, theaverage yield and the Sharpe ratio as the output variables; according to the idea ofportfolio, this dissertation combines the advantage of multivariate t-Copula joint distribution with VaR risk measure method and builds a t-Copula-VaR model to metricfund family risk; After that, this dissertation adopt SDS method to measure investmentstyle drift degree, then use the results to analysis the effect of investment style drift tofund family performance and risk; and then analyse the effect of fund managementcompany's ownership structure to fund family performance and risk by constructingcross-section regression models; consider the influence of different economic situation,regression analysis method is applied to analyse the relationship between family fundperformance and risk. Finally, summarize fund family development problems and futuredevelopment tendency, and put forward three innovation strategies to the furtherdevelopment of China's fund family.
     The empirical results of fund family performance shows that there is a wide gapbetween the performances of fund families during the evaluation period, and most of thefund families is in an invalid state, and fund families do not show the samecharacteristics about the consistency of performance; In the fund family risk study, theresults of non-normality and non-linear correlation matrix calculated by multivariatet-Copula function shows that strong relationship exists among the inner members of thesame fund family, and for a fund family, the number of fund has no significant impacton the total risk value of the fund family; The impact of fund family investment styledrift on fund family performance and risk studies shown that the fund family'sinvestment style drifted greatly, the correlation between it and fund family performanceis negative, and with the family risk level is positively related, and fund familyperformance and risk are obvious persistent; And it is shown that the relationshipsbetween fund management company's ownership structure and fund family performanceand risk present to be “U”, in addition, the enhancement of the control of the first bigshareholder as well as the introduction of foreign capital will improve the performanceof fund family, but also will make fund family face greater risk; The fund family riskand performance relationship research shows that under different economiccircumstances the relationships are different. Fund family performance and fund familyrisk were negatively related before and during the financial crisis while they are notsignificantly related after the financial crisis.
引文
[1]鲁炜,蔡冬梅.开放式基金规模与业绩关系的实证研究.经济纵横,2007,(16):21-24
    [2]于天军,田金信,汪洋.基于修正Sharpe指数的我国开放式基金市场绩评价研究.中国软科学,2010,(7):176-183
    [3] Darollesa S, Gourieroux C. Conditionally fitted Sharpe performance with anapplication to hedge fund rating. Journal of Banking and Finance,2010,43(3):578-593
    [4]刘沛欣,田军,周勇.基于VaR和ES调整的Sharpe比率及在基金评价中的实证研究.数理统计与管理,2012,31(4):735-750
    [5] Chen L, Zhang L. A Better Three-Factor model that explains more anomalies.Journal of Finance,2010,65(2):563-595
    [6] Laia M, Lau S. Evaluating mutual fund performance in an emerging Asianeconomy: The Malaysian experience. Journal of Asian Economics,2010,21(4):378-390
    [7]屠新曙,朱梦.基金绩效评价的Fama-French三因素模型检验.广东金融学院学报,2010,25(1):103-112
    [8]孙冰岩.基于Fama-French模型的开放式基金绩效评价.统计与决策,2011,(13):144-146
    [9] Basso A, Funarib S. A data envelopment analysis approach to measure the mutualfund performance. European Journal of Operational Research,2001,135(3):447-492
    [10]董铁牛,杨乃定,姜继娇,王良.基于极效率DEA的开放式基金市场绩评价.管理评论,2007,19(11):11-17
    [11]王赫一.我国证券投资基金绩效评价及绩效持续性研究.统计与决策,2012,(6):156-159
    [12]杨湘豫,罗志军.基于超效率DEA模型的投资基金绩效评价.统计与决策,2009,(6):56-58
    [13]徐美萍,张波.基于DEA的基金绩效评价研究.数学的实践与认识,2009,39(11):27-32
    [14]Glawischnig M, Reichmann M S. Assessing the performance of alternativeinvestments using non-parametric efficiency measurement approaches: Is itconvincing? Journal of Banking and Finance,2010,34(2):295-303
    [15]Chen Y C, Chiu Y H, Li M C. Mutual fund performance evaluation-application ofsystem BCC model. South African Journal of Economics,2011,79(1):1-16
    [16]Lamba J D, Tee K H. Resampling DEA estimates of investment fund performance.European Journal of Operational Research,2012,223(3):834-841
    [17]Guo J, Ma C, Zhou Z B. Performance Evaluation of Investment Funds with DEAand Higher Moments Characteristics: Financial engineering perspective. SystemsEngineering Procedia,2012,3:209-216
    [18]Zhao X. Entry decisions by mutual fund families. SSRN Working paper,2002
    [19]Sanjeev B, Young J C, Nir Y. Mutual fund family size and mutual fundperformance: The role of regulatory changes. Journal of Accounting Research,2012,50(3):647-684
    [20]Massa M. How do family strategies affect fund performance? When performance-maximization is not the only game in town. Journal of Financial Economics,2003,67(2):249-304
    [21]Boyson N M. The impact of hedge fund family membership on performance andmarket share. Journal of Financial Transformation,2009,25(1):123-129
    [22]Nanda V K, Wang Z J, Zheng L. Family Values and the Star Phenomenon. SSRNWorking paper,2003
    [23]Kempf A, Ruenzi S. Family matters: Rankings within fund families and fundinflows. Journal of Business Finance and Accounting,2008,35(l-2):177-199
    [24]Kempf A, Ruenzi S. Toumamenis in mutual-fund families. Review of FinancialStudies,2008,21(2):1013-1036
    [25]周婷,时广静.我国证券投资基金公司董事会特征与基金绩效关系的实证研究.特区经济,2008,(4):100-101
    [26]蒋天虹.基金个体特性、家族特征与基金业绩的关系研究.中央财经大学学报,2009,(2):46-50
    [27]江萍,田树, Cheng Y L.基金管理公司股权结构与基金绩效研究.金融研究,2011,(6):123-135
    [28]Elton E, Gruber M, Blake C. The adequacy of investment choices offered by401(k)plans. Journal of Public Economics,2006,90(6-7):303-318
    [29]Elton E, Gruber M, Green T. The impact of mutual fund family membership oninvestor risk. Journal of Financial and Quantitative Analysis,2007,42(2):257-278
    [30]Tower E, Zheng W. Ranking of mutual fund families: minimum expenses andmaximum loads as markers for moral turpitude. International Review of Economics,2008,55(4):315-350
    [31]Premachandra I M, Zhu J, Watson J, Galagedera D U. Best-performing US mutualfund families from1993to2008: Evidence from a novel two-stage DEA model forefficiency decomposition. Journal of Banking and Finance,2012,36(12):3302-3317
    [32]Zohdi M, Marjani A B, Najafabadi A M, Alvani J, Dalvand M R. Dataenvelopment analysis(DEA) based performance evaluation system for investmentcompanies: Case study of Tehran Stock Exchange. African Journal of BusinessManagement,2012,6(16):5573-5577
    [33]陆蓉,李良松.基金家族共同持股对基金管理公司业绩预风险的影响研究.金融研究,2008,(2):140-151
    [34]李春琦,孙晶晶,刘刚.基金经理决策权对基金管理公司业绩与风险影响实证研究.经济管理,2010,32(5):121-125
    [35]刘海龙,王惠.金融风险管理.北京:中国财政经济出版社,2009
    [36]Markowitz H. The utility of wealth. Journal of Political Economy,1952,60(2):151-15
    [37]朱世武,张尧庭,徐小庆.一种新的股市风险度量指标及其应用.经济数学,2002,19(2):1-9
    [38]Sharpe W F. Capital asset prices: A theory of market equilibrium under conditionsof risk. Journal of Finance,1964,19(3):425-442
    [39]Lintner J. The valuation of risk assets and the selection of risky investments instock portfolios and capital budgets. Review of Economics and Statistics1965,47(2):13-37
    [40]Mossin J. Equilibrium in a capital asset market. Econometrica,1966,34(4):768-783
    [41]马树才,王威.证券投资风险系数Beta估计的改进.统计与决策,2001,(8):20-21
    [42]Lien D, Tse Y K. Hedging time-varying downside risk. The Journal of FutureMarket,1998,18(6):705-722
    [43]Lien D, Tse Y K. Some recent developments in futures hedging. Journal ofEconomic Su rveys,2002,16(3):357-396
    [44]梁建峰,陈健平,刘京军.基于Copula-GARCH方法的LPM套期保值研究.系统工程学报,2011,26(5):636-641
    [45]Krokhmal P, Palmquist J, Uryasev S. Portfolio optimization with conditionalValue-at-Risk objective and constraints. Gainesville: University of FloridaResearch Report,2001
    [46]蒲明.开放式基金风险管理的有效工具——VaR模型.黑龙江工程学院学报,2007,21(4):67-70
    [47]林宇,黄登仕,魏宇.胖尾分布及长记忆下的动态EVT-VaR测度研究.管理科学学报,2011,14(7):71-82
    [48]姚京,袁子甲,李仲飞等. VaR风险度量下的β系数:估计方法和实证研究.系统工程理论与实践,2009,29(7):27-34
    [49]对我国开放式基金风险的实证研究——基于GARCH模型的VaR方法.经济问题,2008,(9):85-88
    [50]王劲松,王咏梅.开放基金投资策略与风险偏好匹配性研究.2010,32(3):133-138
    [51]Nanda V, Wang Z J, Zheng L. Family values and the star phenomenon: strateges ofmutual fund families. Review of Financial Studies,2004,17(3):667-698
    [52]杜平,徐济东.用VaR度量与管理投资基金的市场风险.经济问题探索,2007,(7):67-71
    [53]Alexander G J, Baptista A M. Active portfolio management with benchmarking:adding a value-at-risk constraint. Journal of Economic Dynamics and Control,2008,32(3):779-820
    [54]周泽炯.投资基金风险的实证研究.华东经济管理,2009,23(2):142-145
    [55]Giamouridis D, Ntoula I. A comparison of alternative approaches for determiningthe downside risk of hedge fund strategies. The Journal of Futures Markets,2009,29(3):244-269
    [56]杜子平,何辉,张勇等.基于GJR-Alaplace方法的开放式基金风险研究.技术经济与管理研究,2011,(7):86-89
    [57]李超杰,江红莉.基于动态Copula的社保基金投资风险测度.统计与决策,2011,(23):147-150
    [58]李平,黄光东,路阳.基于Copula理论的多心理账户组合VaR模型与基金风险管理.系统工程理论与实践,2011,31(5):799-804
    [59]Zhou M J, Ma C Q. Risk management of QDII fund based on dynamic Copula.Systems Engineering Procedia,2012,3:222-228
    [60]Huang J, Sialm C, Zhang H. Risk shifting and mutual fund performance. Review ofFinancial Studies,2011,24(8):2576-2616
    [61]Dichev I D, Yu G. Higher risk, lower returns: What hedge fund investors reallyearn. Journal of Financial Economics,2011,100(2):248-263
    [62]Billio M, Getmansky M, Pelizzon L et al. Econometric measures of systemic risk inthe finance and insurance sectors. Cambridge: NBER Working Paper with No.16223,2010
    [63]Nickel M N, Rodriguez M C. A review of research on the negative accountingrelationship between risk and return: Bowman's paradox. Omega,2002,30(1):1-18
    [64]Billio M, Gentmansky M, Pelizzon L. Dynamic risk exposures in hedge funds.Computational Statistics&Data Analysis,2012,56(11):3517-3532
    [65]Lambert M. A dynamic analysis of higher-comoment risk premiums in hedge fundreturns. Journal of Derivatives&Hedge Funds,2012,18(1):73-84
    [66]Jawadi F, Khanniche S. Modeling hedge fund exposure to risk factors. EconomicModelling,2012,29(4):1003-1018
    [67]Bali T G, Brown S J, Caglayan M O. Systematic risk and the cross section of hedgefund returns. Journal of Financial Economics,2011,106(1):114-131
    [68]Arnaert J, Campenhout V G. Time variationin mutual fund style exposures. Reviewof Finance,2007,11(4):633-661
    [69]郭文伟,宋光辉,许林.基金经理个人特征对基金风格漂移的影响研究.软科学,2010,24(2):123-128
    [70]刘知博.基金经理异质性与投资风格漂移——基于SDS方法的截面数据实证分析.商业时代,2012,(7):82-84
    [71]熊胜军,杨朝军.中国证券投资基金投资风格变化原因分析.哈尔滨商业大学学报(自然科学版),2005,21(6):802-805
    [72]曹雪平.不同态势下基金风格和绩效.系统工程,2011,29(5):31-37
    [73]熊胜君,杨朝军.投资风格指数的应用.证券市场导报,2003,(10):29-33
    [74]张津,王卫华.我国证券投资基金投资风格实证研究.中央财经大学学报,2006,(1):29-33
    [75]许林,宋光辉,郭文伟.基金投资风格理论演进透视及引入分形理论的研究探索.金融理论与实践,2011,(12):11-18
    [76]Idzorek, Bertsh F. The style drift score. The Journal of Portfolio Management,2004,31(1):76-83
    [77]Bar M, Kempf A, Ruenzi S. Team management and mutual funds. CFR WorkingPaper with No.05-10,2005
    [78]Darsinos T, Satchell S. Measuring style tilting and decomposing style risk. Journalof Asset Management,2004,5(1):64-71
    [79]Ainsworth A B, Fong K, Gallagher D R. Style drift and portfolio management foractive australian equity funds. Australian Journal of Management,2008,32(3):387-418
    [80]杨朝军,蔡明超,徐慧泉.中国证券投资基金风格分类研究.上海交通大学学报,2004,(3):359-367
    [81]付金花,赵中平,汪子文.投资风格一致性对基金业绩的影响研究.金融经济,2006,(11):138-139
    [82]李学峰,徐华,李荣霞.基金投资风格一致性及其对基金绩效的影响.财贸研究.2010,21(2):89-97
    [83]许林,宋光辉.基于弹性分形维的开放式基金投资风格漂移研究.商业研究,2011,(5):122-127
    [84]许林,宋光辉,郭文伟.基于SKT-ARFIMA-HYGARCH-VaR模型的股票型基金投资风格漂移风险测度研究.中国管理科学,2011,19(5):11-20
    [85]许林,宋光辉,郭文伟.基于SKT-ARFIMA-HYGARCH模型的开放式基金投资风格漂移收益及其波动分形研究.统计与信息论坛,2011,26(3):56-62
    [86]许林,宋光辉.基于分形维的基金投资风格识别及漂移量化研究.商业经济与管理,2011,(4):64-71
    [87]George R, Arrington. Chasing performance through style drift. The Journal ofInvesting,2000,9(2):13-17
    [88]王敬,刘阳.证券投资基金投资风格:保持还是改变?金融研究,2007,(8):120-130
    [89]Cumming D, Fleming G, Schwienbacher A. Style drift in private equity. Journal ofBusiness Finance and Accounting,2009,36(5-6):645-678
    [90]Kathryn A H, Robert W F. Style drift, fund flow and fund performance: Newcross-sectional evidence. Financial Services Review,2007,16(1):55-71
    [91]Wermers R. Matter of style: the causes and consequences of style drift ininstitutional portfolios. Cologne: CFR working paper with No.12-04,2012
    [92]Michael J, Cooper, Gulen H et al. Changing names with style: mutual fund namechanges and their effects on fund flows. The Journal of Finance,2005,60(6):2825-2858
    [93]Froot K, Teo M. Style investing and institutional investors. Journal of Financial andQuantitative Analysis,2008,43(4):883-906
    [94]Berk A, Sensoy. Performance evaluation and self-designated benchmark indexes inthe mutual fund industry. Journal of Financial Economics,2009,92(1):25-39
    [95]Pojarlieva M, Levichb R M. Trades of the living dead: style differences, stylepersistence and performance of currency fund managers. Journal of InternationalMoney and Financ,2010,29(8):1752-1775
    [96]宋威.风格漂移与基金绩效.商业研究,2009,(6):153-156
    [97]郭文伟,宋光辉,许林.风格漂移、现金流波动与基金绩效之关系研究.管理评论,2011,(12):3-9
    [98]Demesetz H. The structure of ownership and the theory of the firm. Journal of Lawand Economics,1983,26(1):375-390
    [99]Wahal S. Pension fund activism and firm performance. Journal of Financial andQuantitative Analysis,1996,31(1):1-23
    [100]Chen Q, Goldstein I, Jiang W. Directors’ ownership in the U.S. mutual fundindustry. The Journal of Finance,2008,63(6):2629-2677
    [101]Shleifer A, Vishny R W. Management ownership and market valuation: Anempirical analysis. Journal of Financial Economics,1988,20(1):293-315
    [102]李学峰,张舰.基金公司治理结构是否影响基金绩效.证券市场导报,2008,(2):54-60
    [103]Barclay M J, HoldernessC G, Pontiff J. Private benefits from block ownership anddiscounts on closed-end funds. Journal of Financial Economics,1993,33(3):263-291
    [104]徐静,张黎明.证券投资基金股权结构与绩效的实证研究.软科学,2007,21(2):56-59
    [105]徐晓东,陈小悦.第一大股东对公司治理、企业业绩的影响分析.经济研究,2003,(2):63-74
    [106]刘志远.毛淑珍.我国上市公司股权集中度影响因素分析.证券市场导报,2008,(10):42-48
    [107]Claessens S, Djankov S, Langl H P. The separation of ownership and control in eastAsian corporations. Journal of Financial Economies,2005,58(1-2):81-112
    [108]Rafael L P, Florencio L, Andrei S. Corporate ownership around the world. Journalof Finance,1999,54(2):471-517
    [109]Bertrand M, Mehta P, Mullainathan S. Ferreting out tunneling: An application toIndian Business Groups. The Quarterly Journal of Economies,2005,117(1):121-148
    [110]Faccio M, Lang H P L, Yong L. Dividends and expropriation. America EconomicReview,2004,91(1):54-79
    [111]Friedman E, Simon J, Todd M. Propping and tunneling. Journal of ComparativeEconomies,2003,31(4):732-750
    [112]于东智.股权结构、治理效率与公司绩效.中国工业经济,2001,(5):54-62
    [113]陈晓,王琨.关联交易、公司治理与国有股改革——来自我国资本市场的实证证据.经济研究,2005,(4):77-86
    [114]Bennedsen M, Wolfenzon D. The balance of power in close corporations. Joumalof Financial Economics,2000,58(1-2):113-139
    [115]刘海鹰.上市公司经营风险与股权结构的实证研究.统计与决策,2010,(12):148-150
    [116]Demsetz H, Lehn K. The Structure of corporate ownership: Cause andconsequences. Jounral of Political Economy,1985,93(6):1155-1177
    [117]Cherry E C. Experiments on the recognition of speech with one and two ears.Journal of the Acoustical Society of America,1953,25(5):975-979
    [118]Mowbray G H. Simultaneous vision and audition: The comprehension of prosepassages with varying levels of difficulty. Journal of Experimental Psychology,1953,46(5):365-372
    [119]Kahneman D. Attention and effort. Englewood: Prentice Hall,1973
    [120]Brown K C, Harlow W V, Starks L T. Of tournaments and temptations: An analysisof managerial incentives in the mutual fund industry. The Journal of Finance,1996,51(1):85-110
    [121]Treynor J L. How to rate management of investment funds. Harvard BusinessReview,1965,43(1):63-75
    [122]Sharpe W F. Mutual fund performance. Journal of Business,1966,39(1):119-138
    [123]Jensen M C. The performance of mutual funds in the period1945-1964. Journal ofFinance,1968,23(2):389-416
    [124]Fama E F, French K R. The cross-section of expected stock returns. Journal ofFinance,1992,47(2):427-465
    [125]Carhart M. On persistence in mutual fund performance. Journal of Finance,1997,52(1),57-82
    [126]Fama E F, French K R. Multifactor explanations of asset pricing anomalies. Journalof Financial Economics,1996,51(1):55-84
    [127]Charnes A, Cooper WW, Rhodes E. Measuring the efficiency of decision makingunits. European Journal of Operational Research,1978,2(6):429-444
    [128]Banker R D, Charnes A, Cooper W W. Some models for estimating technical andscale inefficiencies in data envelopment analysis. Management Science,1984,30(9):1078-1092
    [129]Mandelbrot B. The variation of certain speculative prices. Journal of Business,1967,40(4):393-413
    [130]Bollerslev T. A generalized autoregressive conditional heteroskedasticity. Journalof Econometrics,1986,31(3):307-327
    [131]Patton A J. A review of copula models for economic time series. Journal ofMultivariate Analysis2012,110:4-18
    [132]Kupiec P H. Techniques for verifying the accuracy of risk measurement models.Washington: Federal Employee Defense Services,1995
    [133]Morck R, Shivdasani A, Nakamura M. Banks, ownership structure, and firm valuein Japan. Canada: Sauder School of Business Working Paper,2000
    [134]Radin R F, Stevenson W B. Comparing mutual fund governance and corporategovernance. Corporate Governance: An International Review,2006,14(5):367-376

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