我国证券投资基金绩效评价及影响因素研究
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摘要
随着我国证券市场的不断发展,证券投资基金以其集腋成裘之功能、专家运营之优势、风险分散之特点在众多金融理财工具中脱颖而出,受到投资者特别是缺乏投资知识且具有强烈风险厌恶倾向的中小投资者的青睐。随着我国证券市场的发展,投资基金的数量越来越多、规模越来越大、品种越来越丰富、投资者的投资需求越来越强烈,对证券投资基金全面、合理、科学的评价就成为我国基金业健康快速发展中一个至关重要的环节。我们不但需要建立公正、权威的机构来开展,更需要在评价过程中建立一套完整、科学的体系来充分反映和描述。因此,可以说证券投资基金评价研究领域的出现是我国金融业发展到一定历史阶段的必然产物。
     站在投资者的角度,从理论上来说,证券投资基金的主要投资者是那些风险规避程度高并追求稳定收益的人,他们往往缺乏科学有效的投资分析能力。通过对投资基金科学、合理的绩效分析并评价,可以为这些投资者提供有效地决策参考,倡导其进行理性投资。更重要的是,评价过程也为投资者普及了基金知识,很大程度上促进了基金信息的传播,提高了投资者信心;站在基金管理者角度,基金绩效评价能够对基金经理形成反馈与监督机制,促使其改善投资管理,提高风险控制水平及决策效率,进而完善其投资策略在市场中的适应能力;站在监管者的角度,对内是对基金经理激励作用的量化指标,对外可以制定和完善相关法律法规;站在基金业自身发展和金融市场稳定的角度,如前文所言,由于我国证券投资基金在市场中扮演着越来越重要的角色,客观公正的评价有助于建立公平、公正、公开的市场秩序。同时,由于基金掌握着重要的资金流,基金的投资走向往往诱导着市场投资热点的发展方向,通过对西方成熟市场的研究,市场新增资金主要流向评级较高的基金,因此,通过对于基金绩效评价,我们可以从侧面发现市场风险以便及时采取防范措施。
     我国的证券投资基金评价体系主要是在借鉴国外先进经验和方法的基础之上建立起来的,在形式上比较接近国外的评价体系,但是,与发达国家成熟市场相比,我国的证券市场的发育状况、信息披露制度、财务制度、证券法律法规和投资者的投资理念都有显著差异。因此,如何建立科学合理的基金绩效评价体系,开发先进并符合我国市场实际情况的绩效评价方法成为我国基金领域亟待解决的问题。
     完整的绩效评价体系除了绩效评价之外,还包括对绩效的归因分析,虽然绩效值可以为投资者和经营者以及监管者提供必要的决策帮助,但是孤立的绩效值并不能为我们提供基金表现影响要素的全貌。作为基金的参与者,特别是投资者与运营者,他们需要了解是哪些因素导致了基金的差异化表现,从而在基金的运营过程中做出更为科学合理的决策,同时这也对基金投资者的投资选择行为具有参考价值。
     本文主体部分共分五章,从分析评价我国基金绩效入手,结合基金持续性检验和基金风格分析建立和完善了基金绩效评价体系,并对基金绩效进行了影响因素分析。
     绪论部分着重介绍本文的选题背景、选题意义、研究内容与结构、论文的创新点等。
     第一章为基金绩效相关理论回顾。在本章中,我们针对本文的研究内容对前人的相关研究成果进行了梳理,并对本文应用的主要方法——数据包络分析方法(DEA)的历史沿革进行了系统回顾,最后结合笔者对DEA方法的相关研究给出了该方法未来的发展趋势。
     第二章主要进行我国证券投资基金绩效评价及绩效持续性检验。首先,我们系统的整理了传统的基金绩效评价方法,这其中主要包括Markowitz投资组合理论方法、资本资产定价模型方法和风险调整的基金绩效评价方法。然后,我们从基金的获利能力、风险水平、运营成本、成长能力以及获取超额收益的能力等5个方面建立了基金绩效评价的综合指标体系,并基于该体系运用基于规模收益可变的超效率DEA方法对我国72只基金在样本期间的绩效进行了评价。最后,我们以前文基金绩效评价实证结果为依据对评价期基金绩效进行了持续性检验。基金业绩持续性是着眼于基金的过去绩效与未来绩效之间关系的研究,实质上是对基金绩效是否具有可预测性的研究。因而在绩效评价之后,我们进行了绩效持续性检验。从实证结果来看,我们成功的将基于规模收益可变的超效率DEA这一评价新方法引入基金绩效评价中,同时能够在获取绩效值的过程中区分和判断出绩效值贡献源。在运用双向表法对基金绩效持续性检验后发现,我国基金整体存在绩效持续性,但是就被评价的某一只基金而言,其绩效在各期间存在很强的跳跃性,领先的基金难以保持领先优势,落后的基金可以轻易改变地位。
     第三章为基金风格识别问题研究。首先,我们通过分析前人对基金风格含义的研究,结合我国的实际情况,归纳总结定义了本文中基金风格的基金含义。此后,我们分析比较了基于组合及基于回报等两种基本的基金投资风格分析方法的优缺点。基金风格识别最为重要的目的是作为基金风格是否存在漂移的判断依据。所谓基金风格漂移就是指在所研究的时域内,基金投资组合所表现出来的实际投资风格与其在基金招募书中所宣称的风格存在偏差的现象,比如在招募说明书中宣称的基金风格为价值型,却实际表现为成长型的风格,通俗的讲就是“言不符实”。我们以信息不对称理论、行为金融理论和委托代理理论作为分析研究基金投资风格漂移成因的三大理论支撑,创新性的引入基于二阶随机占优DEA方法对基金风格进行二次识别。引入全新的“模型筛”思想对基金获利能力风格与风险水平风格所表现出的特征进行识别,并应用Spearman和Pearson相关系数对这两项风格值进行相关性检验,用以判定基金风格是否存在漂移。从实证结果分析得知,在我国基金市场中,无论是成长型基金、价值型基金或平衡型基金都存在大量的风格漂移。特别是成长型基金与价值型基金,其风格漂移发生率在60%以上。同时,我们还发现基金获利能力风格值存在趋同性,这意味着投资者在选择基金时如果将注意力仅集中于收益率,则无法根据基金风格进行合理选择;风险水平风格值具有很强的差异性,可以对基金的投资风格漂移进行判断。至此,我们完成了基金绩效的评价过程。
     第四章为基金结构性指标对于基金绩效的影响。本章着力研究影响基金绩效的结构性因素。我们将基金的结构性因素细化为两类:一类是基金自身的产品结构因素;一类是影响基金运营的外部环境因素。以流动性假说为理论基础,对于基金自身的结构性因素我们将研究基金规模与流动性;在外部环境方面,我们将对四个方面因素进行考察,第一是以库存周期理论为基础的我国制造业产业周期因素;其二,我们借助物理学中“承载力”概念而衍生出我国资本市场承载力及驱动力因素;其三,结合我国货币市场货币供给及货币政策来考察市场货币供给因素;最后,我们通过国际资本市场的汇率传导机制,并结合我国的实际情况,推断国际资本对我国市场影响的传导路径,因此我们考察了国际资本对我国投资市场的影响。在本章的实证部分,我们采用面板数据结合DEA方法。通过实证分析,特别是结合2011年我国基金绩效普遍较差的整体表现,我们认为,主要有以下几点原因:第一,我国的证券投资基金规模过大,风险性投资占投资组合比例过多,而我国尚不成熟的基金投资理念与基金运营管理理念还不足以支撑如此大规模的基金操作;第二,持续上升的人民币升值预期导致大量国际资本进入,流动性泛滥导致我国被迫采取紧缩性政策,直接抑制投资的供给水平;第三,一味追求股市扩容导致资本市场资金稀释作用明显,资本市场的发展速度快于宏观经济的发展速度,股市处于负载状态,且没有“血液”资金注入;第四,产业经济虽已开始复苏,但尚处于被动去库存阶段,产业行为与投资行为的时滞使得目前的行业状况并不能提振投资者信心。该部分为基金绩效外部影响因素的归因分析。
     第五章为基金治理结构对基金绩效影响的分析。首先,我们对基金治理结构与公司治理结构以及契约型基金与公司型基金的进行了比较分析,并结合我国基金行业的自身特点总结了我国基金治理结构存在的问题,并提出了解决办法。其次,我们对基金公司的治理结构进行了分析。由于我国基金属于契约型基金,因此本章的理论基础为“委托——代理”理论。由于基金治理结构的特殊性,本章从基金组织的治理结构以及基金公司的治理结构两个方面,对基金治理结构如何影响基金绩效进行深入分析。基金组织的治理结构集中体现为基金持有人对基金的申购赎回操作,通过对基金份额的控制直接关系到基金公司经营效益,因此可以很大程度的影响基金绩效。而公司的治理结构我们将主要检验基金管理层的治理结构对基金绩效的影响。尽管基金经理是基金的直接运营者,但是基金公司高层的决议将对基金经理的操作产生间接影响,进而对基金绩效表现产生间接影响。可以看出,对于基金组织结构的分析属于基金治理结构的共性分析,而对于基金公司治理结构的分析则属于基金治理结构的个性分析。通过实证研究,从实证结果看,基金公司管理层对于基金绩效的影响是间接性的,影响具有弱显著性,而基金经理的个人特征对于基金的运营影响非常显著。且对于回归结果的进一步分析中我们发现,基金经理的学识即理论知识重要于其在从事基金行业之前的金融工作经验,且其掌管的基金数越多则基金绩效越差;在对基金机构投资者的实证分析过程中发现,机构投资者的市场行为与基金绩效息息相关。特别是在市场财富效应的作用下,机构投资者的逐利行为对基金的实际运营影响强烈。从另一角度看,机构投资者相对较强的信息获取能力可以在一定程度上规范了基金管理方的投资行为。该部分为基金绩效内部因素的归因分析。
     在本文的结论部分将对前文的实证结论进行总结,并给出相应的政策结论。
With the continuous development of China's securities market, securityinvestment funds are becoming more and more popular. It has advantage ofaccumulated investing, expert operating, and risk dispersion. With such characteristics,the security investment funds have stood out numbers of other financial planning tools.Especially for small and medium investors of all ages who are lack of investmentknowledge and with a strong tendency of risk aversion. With the development ofChina's securities market, the number of investment funds is increasing, the scale isenlarging, and the type is diversifying. The investors have such strong demand forinvesting than ever before, so how to evaluate security investment fundscomprehensively, rationally and scientifically has become a vital link with the healthyand rapid development of China's fund industry. Not only do we need to establish fair,authoritative institutions to carry out the evaluation, we also need to establish acomplete and scientific system to fully reflect and describe the evaluation process.Therefore, we can say that the field of securities investment fund evaluation studies isthe inevitable outcome of China's financial sector development to the certainhistorical stage.
     Standing on the investor's perspective, theoretically, the majority of investors ofthe security investment funds are the people who have a high degree of risk aversionand pursue the stable income. They often are lack of scientific and effectiveinvestment analysis capabilities. Through the process of investment fundsperformance analysis and evaluate scientifically and rationally, it can provideeffective decision making to the investors, that may guide them invest rationally.More important, the evaluation process is also contributed to popular fund knowledge,disseminate the fund information, and improve the confidence of investors. Standingon the point of view of the fund managers, fund performance evaluation can formatmechanisms of feedback and monitoring for the fund managers to promote theimprovement of investment management, the level of risk control anddecision-making efficiency, thus helping to improve their investment strategies havethe adapted abilities in the market. Standing on the point of view of regulators, fundsperformance evaluation are both quantitative indicators to inspire the fund managersand the standards to formulate and improve the relevant laws and regulations. Stand in the point of view of the fund industry development and financial market stability, aspreviously said in this paper, China's securities investment funds play an increasinglyimportant role in the market, objective and fair assessment helps to establish fair, justand open market order. At the same time, the funds hold the important capital flows,the funds' investment trend often induce the direction of the investing market hotspots. Through the study of the mature Western markets, the new capital mainlyflows to the higher ratings funds. Therefore, according to the funds performanceevaluation, we can find the market risk from another direction, so that we can practicepreventive measures timely.
     China's securities investment funds evaluation system is established on the basisof drawing from the advanced foreign experience and methods, so the formal is veryclose to the foreign evaluation system, but compare to the mature markets ofdeveloped countries, China's securities market has significant differences on the areaof development conditions, information disclosure system, financial system, securitieslaws and regulations and the investors' investment philosophy. Therefore, how toestablish a scientific and rational fund performance evaluation system, developadvanced performance evaluation method that also should be accordance with theactual situation of China's market has become the utmost importance problems to besolved for the China's fund industry.
     A complete performance evaluation system includes the performance evaluationand the performance attribution analysis. Though the performance values helpinvestors, operators and regulators to provide the necessary decisions, but isolatedperformance value can not provide us the whole picture of which elements affect thefunds performance. As the fund's participants, particularly the investors and operators,they need to understand the factors which lead to differences in performance in orderto make more scientific and rational decision-making in the operations of the fund,which also has the reference values for the investors’fund choice behavior.
     In this paper, the main part is divided into five chapters. This paper begin withthe China's fund performance evaluation analysis, combining fund persistence test andfund style analysis for establishing and improving fund performance evaluationsystem. After that, we make the fund performance influencing factors analysis.
     The Introduction describes the background and significance of topics, the contentstructure and basic innovation.
     The first chapter reviews fund performance theories. In this chapter, we focusedon the previous research of the contents this article worked on, and systematicreviewed the history of the main method that we used in this paper, the data envelopment analysis (DEA). Finally, we gave the future development trend of DEAmethod.
     In the second chapter, we evaluated the china’s investment fund performance andtested the performance persistence. First, we systematically organized traditional fundperformance evaluation methods, which included the Markowitz Theory, the methodof capital asset pricing model and risk-adjusted fund performance evaluation method.We then established a system organized with 5 fund performance evaluationindexes——the fund profitability, the risk level, the operating cost, the ability togrow and the ability of the excess return. And based on that system, we used avariable returns to scale super- efficiency DEA method to evaluate the performance of72 funds. Finally, we test the fund performance persistence based on the empiricalresults of fund performance evaluation we did in the previous text of this paper. Thefund performance persistence focused on the relationship between the fund's pastperformance and future performance, in essence, it was the fund performancepredictability studies. Thus, after the performance evaluation, we conducted aperformance persistence test. The results from the empirical point of view, wesuccessfully applied the variable returns to scale super-efficiency DEA method toevaluate the fund performance as a new method, and at the same time, we were ableto distinguish and determine the source of the performance values. After using thetwo-way table method to test the fund performance persistence, we found when thefunds are treated as a whole, the fund existed performance persistence, but when afund was treated as a single, the performance existed a strong leap during periods.That means the leading funds difficult to maintain a leading edge and the behindfunds can easily change their position.
     Chapter III focused on the recognition of fund style. First, through anglicizingthe previous research on the meaning of fund style, combining with China's actualconditions, we summarized the definition of the fund of fund style in this article.Thereafter, we analyzed and compared the advantages and disadvantages between twobasic fund investment style analysis methods——the portfolio method and the returnmethod. The most important purpose of the fund style identifying was to judge theexistence of the fund style drift. The so-called fund style drift referred to a deviationphenomenon between the fund's actual investment style and the fund style thatdeclared in the recruitment book. For example, the prospectus declared the fund stylefor value; while the actual performance was growth-oriented style, such as the populartalk "words do not match reality". We applied the asymmetric information theory,behavioral finance theory and principal-agent theory as the three theoretical supports of the fund investment style drift causes. And introduced a second order stochasticdominance DEA method to identify the style as an innovation. We introduced a newidea which was called "model screening" to show the characteristics of the style offund profitability and risk level, then applied the Spearman and Pearson correlationcoefficient to these two style values for the correlation test to determine whether fundstyles existed the drift. From the empirical results that, in China's fund market, growthfunds, value funds or balanced funds all had a lot of style drift. In particular, thegrowth fund and value fund style drift occurred for more than 60%. We also foundthat the fund profitability style values existed convergence, which means when theinvestors selected the funds, and if they only put attention on the rate of return, theycan not make a reasonable choice; the style value of the risk level had a strongdifferences, which can be used as the judge of the fund's investment style drift. At thispoint, we had completed the evaluation process of the fund performance.
     Chapter IV was mainly on fund structural affect indicators for the fundperformance. This chapter studied the structural factors that affect the performance ofthe fund. We would refine these structural factors into two categories: one is theproduct structure factors of the fund itself; the other is the external environmentalfactors affecting the fund's operations. Liquidity hypothesis as a theoretical basis forthe structural factors of the fund itself, we would examine fund size and liquidity; inthe external environment, we will inspect four factors, the first is the inventory cyclebased on the theory of our country factors of the manufacturing industry cycle;Second, we use the "carrying capacity" concept which was derived from the carryingcapacity of China's capital market and the driving factors in physics; Third, combinedwith the money supply and monetary policy to examine china's monetary marketmoney supply factors; by exchange rate transmission mechanism of the internationalcapital markets, combined with China's actual conditions, we inferred the conductionpath of international capital on the impact of China's market, so we investigated theimpact of the international capital of China's investment market. In the empirical partof this chapter, we use panel data DEA method. Through empirical analysis,especially combined with the general poor overall performance of our fundperformance in 2011, we believe the main following reasons: First, china's securityinvestment fund size was too large, risky investments accounted for the proportion ofportfolio excessively, while the fund investment philosophy and the operationalmanagement of the fund concept was not yet mature enough to support such a largefund operations in our country; Second, the expected rising appreciation of RMB ledto a large number of international capital entering the flood of liquidity which led the authority forced to take austerity policies, the result was the direct inhibition ofinvestment supply levels; Third, the blind pursuit of stock market expansion led to thedilution effect of capital market, capital markets developed faster than themacroeconomic development, the stock market was in the load state, and there was no"blood" money streamed into the market; Fourth, although the industrial economystarted to recover, but still in the passive of the inventory stage, industry behavior andinvestment behavior delay made the current state of the industry and boost investorconfidence. This portion was the attribution analysis of external factors that affect thefund performance.
     Chapter V is about the analysis of fund governance structure impact on fundperformance. First, we carried out a comparative analysis about fund governancestructure and corporate governance structure, contract funds and corporate funds, thenwe summarized the problems of our funds’governance structure combined withchina's fund industry features, and proposed solutions. Secondly, we researched on thegovernance structure of fund companies. China's funds belongs to category of contractfunds, so this chapter basis for the "principal–agent”theory. Due to the specialty ofthe fund's governance structure, this chapter took in-depth analysis on how the fundgovernance structure affected fund performance from two aspects: the governancestructure of the fund organization and the fund's company governance structure. Thefund organization governance structure concentrated on the holders’subscription andredemption behavior; through the control of fund shares they could directly affect theoperating efficiency of fund companies, so they can put a large extent impact on fundperformance. On the company's governance structure aspect, we will examine theimpact of the fund management governance structure on fund performance. Althoughthe fund manager is the direct operator of the fund, but the resolution of the seniormanagement would have an indirect effect on the fund manager’s operation, and thushas an indirect effect on the performance of the fund. It can be seen that the analysisof the fund organization structure was the commonality analysis of fund governancestructure, and the analysis of the fund's corporate governance structure belongs to thepersonality of the fund's governance structure. Through empirical research, from theempirical results, the fund management of the company for the performance of thefund was indirectly influence with weak significant, while the fund manager'spersonal characteristics was very significant operational impact of the fund. And forthe further analysis of the regression results, we found that the fund manager'stheoretical knowledge was more important than their financial work experience priorto engaging in the fund industry, and the more funds they were in charge of, the worse the fund performed; in the empirical analysis investment funding agencies, we foundthat the market behavior of institutional investors and fund performance are closelyrelated. In particular, under the role of the market wealth effect, the profit-drivenbehavior of institutional investors had a strong impact on the actual operations of thefund. From another perspective, the institutional investors in relatively strong abilityto obtain information can standardize to some extent the investment behavior of fundmanagement. This part was the internal factors of fund performance attributionanalysis. From another perspective, the institutional investors in relatively strongability to obtain information can standardize to some extent the investment behaviorof fund management. This part was the internal factors of fund performanceattribution analysis.
     The Conclusion part summarized the empirical findings of the earlier part andgave the appropriate policies.
引文
1. Agarwal, Naik. Multi-period Performance Persistence Analysis of HedgeFunds[J]. Journal of Financial and Quantitative Analysis, 2000, 35:327–342.
    2. Ajay Khorana, Henri Servaes, Lei Wedge. The efficiency of mutual fund in USincluding[J]. Journal of Economics, 2005, 1 4( 7): 178-184.
    3. Altman. Financial ratios, discriminant analysis and the prediction of corporatebankruptcy[J]. Journal of Finance, 1968, 23:589-609.
    4. Amihud Y, Mendelson H. Trading mechanisms and stock returns: an empiricalinvestigation[J].Journal of Finance, 1987, 42 ( 3):533-553.
    5. Andersen, Petersen. A procedure for ranking efficient units in data. A procedurefor ranking efficient units in data envelopment analysis[J]. Management Science,1993, 39 (10): 1261–1264.
    6. Antonella Basso, Stefania Funari. A data envelopment analysis approach tomeasure the mutual fund performance[J].European Journal of OperationalResearch,2001,135:477-492.
    7. Babalos, Caporale, Kostakis, Philippas. Testing for persistence in mutual fundperformance and the ex-post verification problem: evidence from the Greekmarket[J]. The European Journal of Finance 2008, 14:735–753.
    8. Babalos, Kostakis, Philippas. Managing mutual funds or managing expense ratios?Evidence from the Greek fund industry[J]. Journal of Multinational FinancialManagement, 2009, 19: 256–272.
    9. Babalos, Kostakis, Philippas. Spurious results in testing mutual fund performancepersistence: evidence from the Greek market[J]. Applied Financial EconomicsLetters 2007, 3:103–108.
    10. Banker R D, Charnes A, Cooper W W. Some models for estimating technical andscale inefficiencies in data envelopment analysis[J].Management Science,1984,30:1078-1092.
    11. Banker, Morey. Efficiency analysis for exogenously fixed inputs and outputs[J].Operations Research, 1986, 34(4): 513-520.
    12. B r, Alexander, Ruenzi. Team Management and Mutual Funds[R]. Working Paper.Centre for Financial Research, Cologne, Germany, 2005.
    13. Barber, Odean, Zheng. Out of sight, out of mind: the effects of expenses onmutual fund flows[J]. Journal of Business, 2005, 78: 2095–2120.
    14. Basso, Funari. DEA models for ethical and non ethical mutual funds[J].Mathematical Methods in Economics and Finance, 2007, 2(1):21–40.
    15. Bawa. Optimal rules for ordering uncertain prospects[J]. Journal of FinancialEconomics,1985, 2: 95–121.
    16. Berle, Means. The Modern Corporation and Private Property[M]. New York:Macmillom, 1932.
    17. Bernstein. Style Investing[M]. Wiley, New York,1995.
    18. Blake, Morey. Morningstar ratings and mutual fund performance[J]. Journal ofFinancial and Quantitative Analysis, 2000, 35:451–483.
    19. Bouyssou. Using DEA as a tool for MCDM: some remarks[J]. Journal of theOperational Research Society, 1999, 50: 974–978.
    20. Briec, Kerstens, Jokung. Mean-variance-skewness portfolio performance gauging:A general shortage function and dual approach[J]. ManagementScience,2007,53(1):135–149.
    21. Briec, Kerstens, Lesourd. Single-period Markowitz portfolio selection,performance gauging, and duality: A variation on the Luenberger shortagefunction[J]. Journal of Optimization Theory and Applications,2004,120(1):1—27.
    22. Brown, Goetzmann. Mutual Fund Styles[J]. Journal of Financial Economies,1997, 43:373-399.
    23. Brown, Goetzmann. Performance Persistence[J]. Journal of Finance, 1995, 50(2):679-698.
    24. Brown, Harlow, Starks. Of Tournaments and Temptations:Analysis ofManagerial Incentives in the Mutual Fund Industry [J].Journal of Finance, 1996:51:85-110.
    25. Carhart, Carpenter, Lynch, Musto. Mutual fund survivorship[J]. Review ofFinancial Studies, 2002, 15: 1439–1463.
    26. Carhart. Persistence in mutual fund performance[J]. Journal of Finance, 1997,52(1): 57-82.
    27. Chan K, Chen, Lakonishok. On Mutual Fund Investment Styles[J].Review ofFinancial Studies, 2002, 15(5):1407-1437.
    28. Chang. Evaluating mutual fund performance: An application of minimum convexinput requirement set approach[J]. Computers and Operations Research,2004,31:929–940.
    29. Charnes, Cooper, Rhodes.Measuring the efficiency of decision makingunits[J].European Journal of Operational Research, 1978, 2:429–444.
    30. Charnes, Cooper, Wei. A semi-infinite multi-criteria programming approach todata envelopment analysis with infinitely many decision making units[R]. TheUniversity of Texas at Austin, Center for Cybernetic Studies Report, CCS 551,1986,12.
    31. Charnes, Cooper, Wei. Cone ratio data envelopment analysis and multi-objectiveprogramming[J]. International Journal of Systems Science, 1989, 20(7):1099-1118.
    32. Chen, Carl, Yin Huang. Mutual Fund Governance and Performance: A QuantileRegression Analysis of Morningstar's Stewardship Rating[J]. CorporateGovernance: An International Review, 2011, 19(4): 311-333.
    33. Chen, Cook, Li, Zhu. Additive efficiency decomposition in two-stage DEA[J].European Journal of Operational Research, 2009, 196:1170–1176.
    34. Chen, Harrison, Ming, Kubik. Does fund size erode mutual fund performance?The role of liquidity and organization[J]. American Economic Review, 2004,94:1276–1302.
    35. Chen. Measuring Super-efficiency in DEA in the Presence of Infeasibility[J].European Journal of Operational Research, 2005, 161:545–551.
    36. Chevalier, Ellison. Are some mutual fund managers better than others?Cross-sectional patterns in behavior and performance[J]. Journal of Finance,1999,54:875–899.
    37. Choi, Murthi. Relative performance evaluation of mutual funds: A non-parametricapproach[J]. Journal of Business Finance and Accounting,2001, 28 (7): 853–876.
    38. Chou, Wen-Hsui, Lilian, Qinghai Wang. Do Governance Mechanisms Matter forMutual Funds?[R] Working Paper, 2009.
    39. Chow, George. Portfolio Selection Based on Return, Risk, and RelativePerformance[J]. Financial Analysts Journal,1995, 51(2):54-60.
    40. Christopherson. An Equity Style Classification System[M]. The Handbook ofEquity Style Management, 1st Eddition, Philedelphia: Fabozzi and AssociatesPublishing, 1995.
    41. Ciccotello, Grant. Information pricing: the evidence from equity mutualfunds[J].Financial Review, 1996, 31:365-380.
    42. Cook, Liang, Zha, Zhu. A Modified Super-efficiency DEA Model forInfeasibility[J]. Journal of Operational Research Society, 2009, 69:276–281.
    43. Cooper W W, Seiford L M, Tone K. Data Envelopment Analysis: aComprehensive Text with Models, Applications, References and DEA-SolverSoftware. Kluwer Academic Publishers.
    44. Cooper W W, Seiford L M, Zhu J. Handbook on Data Envelopment Analysis.Kluwer Academic Publishers.
    45. Cremers, Martijn, Driessen, Maenhout, Weinbaum. Does Kin in the Game Matte?Director Incentives and Governance in the Mutual Fund Industry[J]. Journal ofFinancial and Quantitative Analysis, 2009, 44(6): 1345-1373.
    46. Cremers, Petajisto. How active is your fund manager? A new measure thatpredicts performance[J]. Review of Financial Studies, 2009, 22: 3329–3365.
    47. Dahlquist, Engstrom, Soderlind. Performance and Characteristics of SwedishMutual Funds[J]. Journal of Financial and Quantitative Analysis, 2000, 35:409-423.
    48. Daniel, Grinblatt, Titman, Wermers. Measuring Mutual Fund Performance withCharacteristics-Based Benchmark[J]. Journal of Finance, 1997, 52:1035-1058.
    49. Daraio, Simar. A robust nonparametric approach to evaluate and explain theperformance of mutual funds[J]. European Journal of Operational Research,2006, 175: 516–542.
    50. Daraio, Simar. A robust nonparametric approach to evaluate and explain theperformance of mutual funds[J]. European Journal of Operational Research,2006,175(1):516–542.
    51. De Hoyos, Sarafidis. Testing for cross-sectional dependence in panel-datamodels[J] Stata Journal,2006, 6(4): 482-496.
    52. Dermine, Roller. Economies of scope and scale in French mutual funds[J].Journal of Financial
    53. Dibartolomeo Dan, Witkowskierik. Mutual fund misclassification:Evidencebased on style analysis [J]. The Journal of Financial Analysts, 1997, 53:32-43.
    54. Ding, Bill, Wermers. Mutual Fund Performance and Governance Structure: TheRole of Portfolio Managers and Boards of Directors[R]. Working Paper, 2009.
    55. Ding, Wermers. Mutual fund performance and governance structure: the role ofportfolio managers and boards of directors[R]. American Finance Association2006 Annual Meeting, Boston, 2005.
    56. Durnev A, Morck R, Yeung B. Does greater firm-specific return variation meanmore or less informed stockpricing? [J] Journal of Accounting Research, 2003,41 ( 5):797 -836.
    57. Edelen. Investor flows and the assessed performance of open-end mutualfunds[J].Journal of Financial Economics,1999,53:439-466.
    58. Elton, Martin, Gruber, Blake. The Persistence of Risk-Adjusted Mutual FundPerformance[J]. Journal of Business, 1996, 69(2): 133-157.
    59. Fama, Eugene. Components of Investment Performance[J]. Journal of Finance,1972:27(3).
    60. Fama, French. Common Risk Factors in the Returns on Bonds and Stocks[J].Journal of Financial Economics, 1993, 33(2):3-56.
    61. Fama, French. Luck versus skill in the cross section of mutual fund returns[J].Journal of Finance, 2010, 65:1915–1947.
    62. Fama, French. The Cross-Section of Expected Stock Returns[J].Journal ofFinance, 1992, 47(2):427-465.
    63. Fama. Market efficiency, long-term returns, and behavioral finance[J].Journal ofFinancial Economics, 1998, 49:283-306.
    64. F re, Grosskopf. Network DEA[J]. Socio-Economic Planning Sciences, 2000,34:35–49.
    65. F re, Grosskopf. Productivity and intermediate products:A frontier approach[J].Economics Letters, 1996, 50:65–70.
    66. Fernando. Commonality in liquidity: transmission of liquidity shocks acrossinvestors and securities[J].Journal of Financial Intermediation,2003,12:233-254.
    67. Fishburn. Mean-risk analysis with risk associated with below-target returns[J].The American Economic Review,1977,67(2):116–126.
    68. Franco Modigliani, Leah Modigliani. Risk-Adjusted Performance[J]. Journal ofPortfolio Management,1997, winter.
    69. Gallagher. Investment manager characteristics, strategy, top management changesand fund performance[J]. Accounting and Finance, Accounting and FinanceAssociation of Australia and New Zealand, 2003, 43(3):283-309.
    70. Garcia. Efficiency evaluation of the Portuguese pension funds managementcompanies[J]. Journal of International Financial Markets, Institutions and Money,2010, 20:259–266.
    71. Gilson. Bankruptcy, boards, banks and blockholders[J]. Journal of FinancialEconomics, 1990, 27:355-387.
    72. Giorgi. Reward–risk portfolio selection and stochastic dominance[J]. Journal ofBanking & Finance, 2005, 29(4):895–926.
    73. Goetzmann, Ibbotoson. Do winners repeat? Patterns in mutual fundperformance[J]. Journal of portfolio management, 1994, 20: 9-18.
    74. Goodwin homas. The Information Ratio[J].Financial Analysts Journal, 1998,54(4): 34-43.
    75. Gregoriou, Sedzro, Zhu. Hedge fund performance appraisal using dataenvelopment analysis[J]. European Journal of Operational Research, 2005,164:555–571.
    76. Grinblatt, Titman. A study of monthly mutual fund returns and performanceevaluation techniques[J]. Journal of Financial and Quantitative Analysis, 1994,29(3): 419-444.
    77. Grinblatt, Titman. Mutual fund performance:An analysis of quarterly portfolioholdings[J]. The Journal of Business, 1989, 62(3):393–416.
    78. Grinblatt, Titman. Persistence of Mutual Fund Performance[J]. Journal of Finance,1992, 47(5): 1977-1984.
    79. Grinold, Richard, Andrew Rudd. Incentive Fees: Who Wins? Who Loses? [J]Financial Analysts Journal,1987,43(1):27-38.
    80. Gruber. Another Puzzle:The Growth in Actively Managed Mutual Funds[J].Journal of Finance, 1996, 51(3):783-810.
    81. Guidolin, Ria. Regime shifts in mean-variance efficient frontiers: Someinternational evidence[R]. Working paper, Manchester Business School, 2010.
    82. Harris, Ohlson. Accounting disclosures and the market’s valuation of oil and gasproperties: Evaluation of market efficiency and functional fixation[J]. TheAccounting Review, 1990, 65: 764-780.
    83. Hendricks, Patel, Zeckhauser. Hot Hands in Mutual Funds: Short Run Persistenceof Relative Performance 1974-1988[J]. Journal of Finance, 1993, 48(1): 93-130.
    84. Holthausen. A risk-return model with risk and return measured as deviations froma target return[J]. American Economic Review,1981,71(1):182–188.
    85. Idzorek, Bertsch. The Style Drift Score[J]. Journal of Portfolio Management,2004, 31(1):76-83.
    86. Indro, Jiang, Hu, Lee. Mutual fund performance: Does fund size matter?[J].Financial Analysts Journal, 1999, 55(3):74-87.
    87. Intermediation, 1992, 2(4): 1077-1082.
    88. James Tobin. Liquidity preference as behavior towards risk[J].The Review ofEconomic Studies,1958,67:65-86.
    89. Jensen, Meckling. Theory of firm:managerial behavior, agency costs andownership structure[J]. Journal of Financial Economics, 1976, 3:305-360.
    90. Jensen, Michael. Problem in Selection Portfolios: The Performance of MutualFund in the Period 1945—1964[J].Journal of Finance,1968:27(3).
    91. John Gallo, Larry, Lockwood. Fund management changes and equity styleshifts[J]. Journal of Financial Analysts, 1999, 55:44-52.
    92. Jorion Philippe. Portfolio Optimization with Tracking- Error Constraints[J].Financial Analysts Journal, 2003, 59(5):70- 82.
    93. Joro, Na. Portfolio performance evaluation in a mean–variance–skewnessframework[J]. European Journal of Operational Research,2006,175(1):446–461.
    94. Kahneman, Tversky. Prospect theory: An analysis of decision under risk[J].Econometrica, 1979, 47: 263-291.
    95. Kao, Hwang. Efficiency decomposition in two-stage data envelopment analysis:An application to non-life insurance companies in Taiwan[J]. European Journalof Operational Research, 2008, 185 (1):418–429.
    96. Khorana, Ajay, Tufano, Wedge. Board Structure, Mergers and Shareholder Wealth:A Study of the Mutual Fund Industry[J]. Journal of Financial Economics, 2007,85(2): 571-598.
    97. Kritzman, Mark. Incentive Fees: Some Problems and Some Solutions[J].FinancialAnalysts Journal,1987,43(1):21-26.
    98. Kyle. Continuous auctions and insider trading[J]. Econometrica, 1985, 53:1315-1335.
    99. Larcker, Richardson, Tuna. How important is corporate governance[R]. WorkingPaper, University of Pennsylvania, 2006.
    100.Lee, Chu, Zhu. Super-efficiency DEA in the presence of infeasibility[J].EuropeanJournal of Operational Research, 2011, 212(1):141-147.
    101.Lewis, Sexton. Network DEA:Efficiency analysis of organizations with complexinternal structures[J]. Computers and Operations Research, 2004, 31(9):1365–1410.
    102.Lovell, Rouse. Equivalent standard DEA models to provide super-efficiencyscores[J]. Journal of the Operational Research Society, 2003, 54: 101–108.
    103.Malkiel. Returns from investing in equity funds 1971-1991[J]. Journal of Finance,1995, 50: 549-572.
    104.Malkiel. Returns from investing in equity mutual funds 1971–91[J]. Journal ofFinance, 1995, 50: 549–572.
    105.Mansini, Ogryczak, Ruszczynski. LP solvable models for portfolio optimization :A classification and computational comparison[J]. IMA Journal of ManagementMathematics,2003,14:187–220.
    106.Markowitz. Portfolio selection[J]. Journal of Finance, 1952, 7: 77–91.
    107.McMullen, Strong. Selection of mutual funds using data envelopment analysis[J].Journal of Business and Economic Studies, 1998, 4(1):1–12.
    108.Moon Kim, Ravi Shukla, Michael Thomas. Mutual fund objectivemisclassification[J]. Journal of Economics and Business, 2000, 52:309-323.
    109.Morey M.R., Morey R.C.. Mutual fund performance appraisals: A multi-horizonperspective with endogenous benchmarking[J]. Omega,1999,27:241–258.
    110.Muralidhar, Arun. Investment style index performance: The CorrelationCorrection[J]. Financial Analysts Journal,2000,9(88):63-71.
    111.Murthi, Choi, Desai. Efficiency of mutual funds and portfolio performancemeasurement: A non-parametric approach[J]. European Journal of OperationalResearch,1997,98:408–418.
    112.Narayanan. Liquidity, investment ability, and mutual fund structure[J].Journal ofFinancial Economics,2000,57(1):417-443.
    113.Ogryczak, Ruszczynski. Dual stochastic dominance and related mean-riskmodels[J]. SIAM Journal on Optimization,2002,13(1):60–78.
    114.Ogryczak, Ruszczynski. From stochastic dominance to mean-risk models:Semideviations as risk measures[J]. European Journal of Operational Research,1999,116:33–50.
    115.Ogryczak, Ruszczynski. On consistency of stochastic dominance andmean-semideviation models[J]. Mathematical Programming, 2001, 89:217–232.
    116.Otten, Bams. How to Measure Mutual Fund Performance:Economic versusStatistical Relevance[J]. Accounting and Finance, 2004, 44:203–222.
    117.Pendharkar, Rodger. The relationship between software development team sizeand software development cost[J]. Communications of the ACM, 2009, 52 (2):1–4.
    118.Perold, Salomon. The right amount of assets under management[J]. FinancialAnalysts Journal, 1991, 47(3): 31-39.
    119.Pesaran. General Diagnostic Tests for Cross Section Dependence in Panels[R].IZA Discussion Papers 1240, Institute for the Study of Labor (IZA), 2004.
    120.Premachandra, Bhabra, Sueyoshi. DEA as a tool for bankruptcy assessment:Acomparative study with logistic regression technique[J]. European Journal ofOperational Research, 2009, 193:412–424.
    121.Richard Roll. A Critique of the Asset Pricing Theory’s Tests: Part I: On the Pastand Potential Testability of the Theory[J]. Journal of Financial Economics, 1977,march.
    122.Richard Roll. Ambiguity when performance is measured by the securities marketline[J]. Journal of Finance,1978,33:1051-1069.
    123.Robert A. Haugen.现代投资理论[M].北京:北京大学出版社, 2002.
    124.Rockafellar, Uryasev. Optimization of conditional value-at-risk[J]. Journal ofRisk,2000,2:21–41.
    125.Rohleder, Scholz, Wilken. Survivorship bias and mutual fund performance:relevance, significance, and methodical differences[J]. Review of Finance, 2011,15: 441–474.
    126.Roll, Richard. A Mean-Variance Analysis of Tracking Error[J]. Journal ofPortfolio Management, 1992, 18(4):13-22.
    127.Sawicki, Finn. Smart money and small funds[J]. Journal of Business Finance &Accounting, 2002, 29(5) & (6): 825-845.
    128.Seiford, Thrall. Recent development in DEA. The mathematical programmingapproach to frontier analysis[J]. Journal of Econometrics, 1990, 46(1,2):7-38.
    129.Seiford, Zhu. Profitability and marketability of the top 55 US commercialbanks[J]. Management Science, 1999, 45(9):1270–1288.
    130.Sengupta. Efficiency tests for mutual fund portfolios[J]. Applied FinancialEconomics, 2003, 13: 869–876.
    131.Sharpe.“Mutual Fund Performance" [J].Journal of Business, Januarv1966:119-138.
    132.Sharpe. Asset Allocation Management Style and Performance Measurement[J].Journal of Portfolio Management,Winter1992:7-19.
    133.Sharpe. Capital asset prices: A theory of market equilibrium under conditions ofrisk[J]. Journal of Finance,1964,19:425- 442.
    134.Sharpe. Stock prices, expected returns, and inflation[R]. Finance and EconomicsDiscussion Series 1999-02, Board of Governors of the Federal Reserve System(U.S.), 1999
    135.Siegel. Stocks for the long run[M]. New York: McGraw Hill, 1998.
    136.Sinuany-Stern, Friedman. DEA and the discriminant analysis of ratios for rankingunits[J]. European Journal of Operational Research, 1998, 111:470–478.
    137.Sorensen, Jesper. The Strength of Corporate Culture and the Reliability of FirmPerformance. Administrative Science Quarterly, 2002, 47(1): 70-91.
    138.Steven Ross. The Arbitrage Theory of Capital Asset Pricing[J]. Journal ofEconomic Theory,december.
    139.Sueyoshi, Goto. Can R&D expenditure spending avoid corporate bankruptcy?Comparison between Japanese machinery and electric equipment industriesusing DEA-Discriminant Analysis[J]. European Journal of Operational Research,2009, 196:289–311.
    140.Sueyoshi, Tadiparthi. An agent-based approach to handle business complexity inUS wholesale power trading[J]. IEEE Transactions on Power Systems, 2007, 22:532–543.
    141.Sueyoshi. DEA-discriminant analysis in the view of goal programming[J].European Journal of Operational Research, 1999, 115:564–582.
    142.Sueyoshi. DEA-discriminant analysis:Methodological comparison among eightdiscriminant analysis approaches[J]. European Journal of Operational Research,2006, 169:47–272.
    143.Sueyoshi. Extended DEA-discriminant analysis[J]. European Journal ofOperational Research, 2001, 131:324–351.
    144.Sueyoshi. Financial ratio analysis of the electric power industry[J]. Asia-PacificJournal of Operational Research, 2005, 22:349–376.
    145.Sueyoshi. Mixed integer programming approach of extended-discriminantanalysis[J]. European Journal of Operational Research, 2004, 152:45–55.
    146.Theobald M, Yallup P.Determining security speed of adjustmentcoefficients[J].Journal of Financial Markets, 2004, 7( 1):75-96.
    147.Thomas, Lee. Active Management[J].Journal of Portfolio Management, 2000,26(2): 25- 321.
    148.Tkac, Paula. The Performance of Open-End International Mutual Funds[J].Federal Reserve Board of Atlanta Economic Review, 2001, 3: 1-17.
    149.Treynor.“How to Rate Management of Investment Funds”[J]. Harvard BusinessReview, January-February,1965:63-75.
    150.Tricker. International corporate governance[R]. Prentice Hall, 1994.
    151.Wellman, Jay, Zhou. Corporate Governance and Mutual Fund Performance: AFirst Look at the Morningstar Stewardship Ratings[R]. Working Paper, 2007.
    152.Wilkens, Zhu J. Portfolio evaluation and benchmark selection: A mathematicalprogramming approach[J]. Journal of Alternative Investments, 2001,4(1):9–20.
    153.Williamson. Markets and Hierarchies:Analysis and Antitrust Implications[M].New York:Free Press, 1975.
    154.Zhu J. Data envelopment analysis with preference structure[J]. Journal ofOperational Research Society,47:163.
    155.毕功兵,梁樑,杨锋.两阶段生产系统的DEA效率评价模型[J].中国管理科学,2007, 2:92-96.
    156.蔡军祥.美国共同基金治理结构与借鉴[J].经济纵横,2001,9:40-43.
    157.陈刚,李光金.证券投资基金相对投资绩效评价[J].四川大学学报,2001,2:32-37.
    158.陈慧群.证券投资基金业绩与规模相关问题研究[D].南京:南京航空航天大学,2005.
    159.陈伟,赵富洋,林艳.基于两阶段DEA的高技术产业R&D绩效评价研究[J].软科学, 2010, 4:6-10.
    160.陈翔,钱伟民.封闭式基金的业绩评估[J].数理统计与管理, 2008, 3:541-548.
    161.陈正佑.台股动量策略与反向策略投资绩效研究[R].国立中山大学博士论文,2002.
    162.陈志平,林瑞跃.基于DEA模型的基金业绩评估的主要方法[J].系统工程学报,2005, 20(1):73-83.
    163.程大友,冯英浚.基于两阶段关联DEA模型的企业效率研究——以财产保险公司为例[J].预测, 2008, 3:55-61.
    164.储小俊,刘思峰.在随机非线性价格冲击下的最优变现策略研究[J].中国管理科学,2007,15(5):137-142.
    165.戴志敏.我国开放式基金的风格趋同性研究[J].浙江大学学报(人文社会科学版), 2003, 33, 4:33-39.
    166.丹尼斯,杰弗里.现代产业组织[M].上海:人民出版社, 1997。
    167.邓超,蔡奕奕.我国配置型开放式基金规模与回报关系的实证研究[J].中南大学学报, 2005,11(5):620-624.
    168.邓超,袁倩.基于动态DEA模型的证券投资基金绩效评价[J].系统工程,2007,1:111-127.
    169.丁文桓,冯英浚,康宇虹.基于DEA的投资基金业绩评估[J].数量经济技术经济研究, 2002(3):98-101.
    170.丁志国,徐德财,王渊.我国证券市场信息调整路径的动态区间估计[J].吉林大学社会科学学报,2011,51(4):87-94.
    171.丁志国,王希庆.信任与担忧:中国共同基金执业能力评价[J].学习与探索,2009,3:140-142.
    172.丁志国,赵晶,徐德财,张晓野.“名义”风格与投资组合“黑箱”——基金风格漂移行为的动态分析[J].东北师大学报(哲学社会科学版),2011,4:47-51.
    173.杜莉,王锋.证券投资基金羊群行为及其市场影响分析[J].吉林大学社会科学学报,2005,45(3):80-86.
    174.范宇,边馥萍.基于对策DEA的投资基金业绩评估[J].管理科学学报, 2005,8(3):41-49.
    175.方毅,张屹山.跟踪误差下积极资产组合投资的风险约束机制[J].中国管理科学,2006,14(6):19-24.
    176.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[J].金融经济,2006,8:23- 26.
    177.高士亮.开放式基金规模与公司业绩关系的实证研究[J].经济经纬, 2009, 2:95-98.
    178.谷伟,余颖,周洁如.中国证券投资基金绩效持续效应研究[J].管理工程学报,2007,3:159-163.
    179.顾华平.我国股票型开放式基金的投资风格分析[J].市场周刊, 2008, 4.
    180.郭文伟,宋光辉,许林,柴曼听.中国开放式基金风格择时能力的实证研究[J].统计与决策,2010, 8:134-136.
    181.韩泽县,刘斌.基于数据包络分析(DEA)的封闭式基金相对业绩评价[J].金融管理, 2003,15(12):17-21.
    182.黄静,高飞.基金投资行为与投资绩效实证研究[J].数理统计与管理,2006,25(5):581-587.
    183.黄薇.中国保险机构资金运用效率研究:基于资源型两阶段DEA模型[J].经济研究, 2009, 8:37-49.
    184.黄学庭.开放式基金资产配置问题研究[J].中国管理科学,2003,11(2):21-23.
    185.肯尼斯,克拉克森,罗杰勒米勒著.产业组织:理论、证据和公共政策[M].上海:三联书店, 1989。
    186.劳兰裙,张志刚.中国开放式基金业绩排序稳定性的Kendall检验[J].系统工程,2007,1:118-122.
    187.劳兰瑶,张志刚.中国开放式基金业绩排序稳定性的Kendall检验[J].系统工程,2007,l:118-122.
    188.李树根,杨印生,郝海. Banach空间的DEA模型[C].东北运筹编委会,东北工业与应用数学编委会。东北运筹与应用数学.大连:大连理工大学出版社,1996.
    189.李湘露,刘春奇.基于超效率DEA方法的开放式基金绩效评价[J].中原工学院学报, 2010, 6: 42-46.
    190.李翔,林树,陈浩.为什么基金投资收益与基金规模负相关——个新的理论解释[J].学海, 2009, 2: 112-117.
    191.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[J].财贸研究, 2010, 2:89-97.
    192.李学峰,徐华.基金投资风格漂移及其对基金绩效的影响研究[J].证券市场导报, 2007, 8:70-77.
    193.李学峰,徐华.基金投资风格漂移及其对基金绩效的影响研究[J].证券市场导报,2007,8: 70-77.
    194.李玉刚.基金风格与选择能力研究[R].国泰君安证券研究所研究报告, 2002.
    195.林坚,郑慧清,王宁,陈宇峰.证券投资基金规模与绩效实证分析[J].商业研究,,2002,22:111-114.
    196.林坚,郑慧清,王宁,陈宇峰.证券投资基金规模与绩效实证分析[J].商业研究,2002,11:111-114.
    197.刘炳胜,王青,曹琳剑.带有主成分约束锥的模型设计及应用[J].系统工程,2009, 28(8):101-105.
    198.刘海龙.开放式基金的最优变现策略[J].管理工程学报,2003,17(2):106-108.
    199.刘红忠.证券投资基金绩效评估与风险度量的实证分析[R].上证联合研究课题组,上海上证联合研究计划研究报告之七,2001:12-20.
    200.刘艳武,蒋瑛琨. Sharpe指数评价中国证券市场基金业绩的适用性[J].金融研究,2004,10:94-99.
    201.刘永清,李光金.要素在有限范围变化的DEA模型[J].系统工程学报,1995,10(4): 87-94.
    202.龙振海.基金风格类别变化的实证研究[J].东北大学学报(社会科学版), 2010,2:124-128.
    203.卢纹岱. SPSS for Windows统计分析[M].北京:电子工业出版社, 2004.
    204.罗洪浪,王浣尘,田中甲.双风险度量下封闭式基金业绩的数据包络分析[J].系统工程, 2003, 21(5):94-100.
    205.罗洪浪,王浣尘,田中甲.基于DEA的封闭式基金业绩评价[J].中国管理科学,2003,11(5):20-25.
    206.马利军,伍建,程希骏.基于DEA方法的投资基金业绩评价[J].价值工程,2003,4:63-65.
    207.马占新,吕喜明.带有偏好锥的样本数据包络分析方法研究[J].系统工程与电子技术,2007,29(8):1275-1282.
    208.马占新,唐焕文.一个综合的DEA模型及其相关性质[J].系统工程学报,1999,14(4):311-316.
    209.马占新.一种基于样本前沿面的综合评价方法[J].内蒙古大学学报,2002,33(6):606-610.
    210.孟岩,张屹山.金融衍生工具的风险分析[J].经济纵横,2003,2:19-21.
    211.模型的广义数据包络分析方法[J].系统工程学报,2011, 2:251-261.
    212.模型的广义数据包络分析方法研究[J].系统工程与电子技术,2009,31(2):366-372.
    213.倪苏云,肖辉,吴冲锋.中国证券投资基金业绩持续性研究[J].预测, 2002, 6:41-44.
    214.欧阳敬东.浅谈我国开放式基金的投资风格[J].税务研究, 2007, 7:49-51.
    215.彭寿康.风险-收益悖论与绩差基金的业绩持续性[J].商业经济与管理,2010,ll:78-83.
    216.沈维涛,黄兴孪.我国证券投资基金业绩的实证研究与评价[J].经济研究,2001,9:22-30.
    217.宋冬林,吉林大学中国国有经济研究中心课题组.治理效率:一个深化公司治理的新视角[J].当代经济研究, 2002, 12:8-14.
    218.宋威.风格漂移与基金绩效[J].商业研究, 2009, 6:153-156.
    219.谭政勋,王聪.我国开放式基金业绩来源的实证研究[J].当代财经,2004,11:48-52.
    220.王聪.证券投资基金绩效评估模型分析阴[J].经济研究,2001,9:31-38.
    221.王敬,刘阳.证券投资基金投资风格:保持还是改变?[J].金融研究, 2007, 8:120-130.
    222.王立岩.基于两阶段DEA模型的城市环保治理效率评价[J].统计与决策, 2010,12:29-31.
    223.王全文,吴育华,罗蕴玲,王延臣.决策单元排序的两阶段DEA方法[J].统计与决策, 2008, 23:160-162.
    224.王铁锋,王成军.中国债券市场债券封闭式回购与开放式回购比较研究[J].财贸经济,2005,3:24-28.
    225.王铁锋.中国证券市场投资分析与组合管理[M].经济科学出版社,2003.
    226.王铁锋.组合投资中类别资产配置和个股选择影响研究[J].经济管理,2005,10:85-89.
    227.魏权龄.数据包络分析[M].北京:科学出版社, 2004.
    228.吴启芳,汪寿阳,黎建强.中国证券投资基金业绩的持续性检验[J].管理评论,2003, 11:23-28.
    229.吴晓晖,姜彦福.机构投资者治理效率研究[J].统计研究, 2006, 9:33-36.
    230.夏璇,朱建华.股票投资价值评估理论综述[J].中国商界, 2008, 12:37-38.
    231.谢盐,田澎,徐晋.机构投资者最优变现策略研究[J].哈尔滨工业大学学报,2006,38(5):755-757.
    232.徐琼,赵旭.封闭式基金业绩持续性实证研究[J].金融研究,2006,5:92-96.
    233.徐妍,林捷,裘孝锋.证券投资基金投资行为对市场影响研究[R].深圳证券交易所第六届会员单位、基金公司研究成果,2003.
    234.许辉,黄曼行,祝立宏.美国资本市场与共同基金互动关系的启示[J].经济研究导刊.2009, 52:76-81.
    235.晏艳阳,刘振坤,席红辉.封闭型基金业绩及其规模影响研究[J].财经理论与实践,2003,125(4):57-60.
    236.杨朝军,蔡明超,徐慧泉.中国证券投资基金风格分类研究[J].上海交通大学学报, 2004, 38(3):359-367.
    237.杨锋,翟笃俊,梁樑,毕功兵.两阶段链形系统生产可能集与DEA评价模型[J].系统工程学报, 2010, 3:401-406.
    238.杨宽,陈收.投资基金绩效非参数检验及实证分析[J].管理科学,2005,(4):71-76.
    239.杨湘豫,罗志军.基于超效率DEA模型的投资基金绩效评价[J].统计与决策,2009,6:56-58.
    240.杨艳,陈收.我国上市公司的融资结构及其治理效率研究[J].湘潭大学学报(哲学社会科学版), 2007, 3:75-82.
    241.杨印生,毕传文,于薇.DEA-DA判别分析方法在期货市场评价中的应用[J].数理统计与管, 2003, 10:308-313.
    242.杨印生,李宁.带有偏好锥的DEA-DA模型研究[J].运筹与管理, 2004, 4:1-5.
    243.杨印生,张德俊,李树根.基于Fuzzy集理论的数据包络分析模型[C].王彩华,欧进萍,宋连天等。第三届全国模糊分析设计学术会议文集.北京:中国建筑工业出版社,1993.
    244.叶莉,刘巍.我国开放式基金的风格趋同性研究[J].现代财经, 2006, 26(8):24-28.
    245.易荣华.基于DEA的证券市场问题研究[M].上海:上海财经大学出版社,2008.
    246.于颖,蔡进.中国PMI(采购经理指数)与其他数据相关性研究[J].社科纵横,2008, 23(12):68-70.
    247.袁克,陈浩.中国股票市场机构投资者羊群行为的实证研究[R].深圳证券交易所第六届会员单位、基金公司研究成果,2003.
    248.曾晓洁,黄嵩,储国强.基金投资风格与基金分类的实证研究[J].金融研究,2004, 3:66-78.
    249.张津,王卫华.我国证券投资基金投资风格实证研究[J].中央财经大学学报,2006, 1:29-33.
    250.张文璋,陈向民.方法决定结果吗——基金业绩评价的实证起点[J].金融研究,2002,12:38-48.
    251.张屹山,于大力.试论我国的社会公平与经济效率[J].社会科学战线, 2007, 2:54-59.
    252.张屹山.社会公平与经济公平[N].吉林日报, 2007年7月13日第5版.
    253.赵宏宇.证券投资基金的投资风格分析和比较[J].证券市场导报, 2005, 10:58-62.
    254.赵坚毅,于泽,李颖俊.投资者参与和证券投资基金风格业绩的评估[J].经济研究, 2005, 7:45-55.
    255.赵建明.基金投资风格与实证对照[N].金融时报, 2001-09-19(B05).
    256.赵秀娟,汪寿阳.中国证券投资基金评价研究[M].北京:科学出版社, 2007.
    257.赵旭,吴冲锋.证券投资基金业绩与持续性评价的实证研究--基于DEA模型与R/S模型的评价[J].管理科学,2004,17(4):58-64.
    258.支旭阳.基于DEA的投资基金业绩分析[J].商业研究, 2006(3):47-49.
    259.周琳杰.中国股票市场动量策略赢利性研究[J].世界经济, 2002,8:60-64.
    260.朱波,宋振平.基于SFA的我国开放式基金绩效评价研究[J].数量经济技术经济研究, 2009,4:105-116.
    261.庄云志,唐旭.基金业绩持续性的实证研究[J].金融研究,2004,5:20-27.