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财产保险公司偿付风险经济资本配置研究
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摘要
保险企业是经营风险的企业,与其他金融企业相比,具有更多的不确定性。随着行业的快速发展,保险公司的经营环境发生深刻变化,公司经营过程中面临更多新的风险。资本是公司防范风险的能力体现,充足的资本是抵御风险的保障。有效的资本管理能够帮助保险公司累积资本,实现持续经营。经济资本从公司内部出发,反映保险公司自身风险,作为新兴的管理工具已在国外保险领域得到广泛运用。经济资本管理包括经济资本计量、配置、优化等多个过程。通过经济资本计量可有效识别和量化公司的偿付风险,确定经济资本需要覆盖的风险范围。另外,高效的经济资本配置能够把有限的资源运用到最能创造利润的业务中去,避免资源的浪费。同时,通过比较不同业务线的资本配置效率,可对业务线进行调整,获得最佳的业务线组合,实现风险既定情况下收益最大化。总体而言,经济资本管理能够指导公司的风险管理、战略管理和价值管理,为经营决策提供依据,有效防范偿付风险,增加公司价值。从经济资本角度研究偿付风险具有重大理论与现实意义。
     本文首先从偿付风险和经济资本的概念出发,界定偿付风险,将经济资本与账面资本、监管资本作对比以明确经济资本内涵。对偿付风险、经济资本计量、配置的研究状况进行了梳理,阐述了风险计量、相关性测度以及资本配置理论。进而对国内财险市场的偿付风险进行分析,通过灰关联分析探讨偿付风险影响因素以分析偿付风险的本质,将偿付风险分解为承保风险、市场风险、信用风险及操作风险。
     在此基础上,针对上述四种风险特性,分别构建不同计量模型。采用t-Copula模型刻画承保风险八条业务线间的相关关系;Copula-GARCH-EVT模型测度市场风险;数据外推法衡量信用风险;拓扑法描述操作风险。通过实证分析,获得各个风险的损失分布。
     进一步,利用藤Copula捕捉四种风险间的相关性,通过Wang变换对整合损失分布进行调整,构建出财产保险公司所应持有的经济资本总量的计量模型。其中,采用藤Copula对四种风险造成的损失进行整合,弥补了现有多元Copula无法根据实际数据灵活选择恰当函数的不足。此外,本文采用Wang变换取代VaR风险测度,满足了风险测度一致性要求,同时有效克服传统方法的尾部风险估计不足问题。在理论模型的基础上,针对我国某家财产保险公司的数据给出经济资本测算实例,并将所得与Solvency Ⅱ标准系数法的计算结果进行比较。结果表明,在衡量公司的实际偿付风险时,本文的方法较Solvency Ⅱ的标准系数法需持有较少的经济资本,证明藤Copula可更有效刻画风险间的相关关系,在保险公司所需实际经济资本测算中具有较明显优势。
     针对承保风险和市场风险,根据最小偏差测度,以每一条业务线与实际风险间偏差之和最小为目标,构建不同的配置模型进行经济资本配置。结果表明承保风险中车险配置资本最大,市场风险中金融债配置的资本最大。在业务线的调整上,以RAROC最大化为目标,不考虑现实条件的约束,构建模型优化这两种风险的业务线。结果表明,承保风险中将经济资本全部配置到车险上是最优选择;而市场风险则应加大国债和企业债的投资比例,降低金融债、证券投资基金和股票的投资比例。
     最后,根据资本配置过程中遇到的问题,本文分别从监管、行业协会和公司三个层面提出改进建议:监管当局构建偿付能力经济资本监管体系、行业协会充分发挥作用、公司建立公司经济资本配置系统。其中,监管体系的构建包括多样化经济资本测度模型、加强计量方法及数据的审核两方面。行业协会可通过畅通信息交流渠道、加强人才队伍建设与加快保险行业信息系统建设来发挥作用。公司经济资本配置系统的建设包括树立经济资本管理理念、改进偿付风险经济资本测度方法、构建科学的资本配置模型、选择合理绩效评价指标、建立资本配置反馈机制五个方面。
Running a business dealt with risk, insurance companies face more uncertaintycompared than other financial firms. With the rapid development of the industry, thecompanies‘business environment has undergone profound changes, which bringsmore new risks to the insurance companies. Capital is the signal of the company‘sability against risks. Abundant capital ensures that the company has sufficient capitalto absorb the adverse situations. Effective capital management can help the insurancecompany with the accumulation of capital, sustainable sound operation anddevelopment. From within the company, the economic capital reflects its own risk andhas been widely used in foreign insurance industry as a new management tool. Theprocess of economic capital management includes economic capital measurement,allocation, optimization etc. Economic capital calculation can effectively identify andquantify the solvency risk, in turn determining the risky range that should to becovered by the economic capital. In addition, efficient economic capital allocationallows limited capital to the most profitable business, which avoids the waste ofresources. Meanwhile, by comparing the capital allocation efficiency among differentlines of business, the insurer can adjust the proportions of lines in orde r to get the bestcombination and maximize the return under a given risk. In general, the managementbased on economic capital is capable to guide the company's risk management,strategic management and value management, which provides a basis for operatingdecisions, prevents the solvency risk effectively and as a result, increases the value ofthe company. Thus, the research of solvency risk based on economic capital is ofgreat significance in theory and practice.
     This dissertation starts from the definition of solvency risk and economic capital,which defines the solvency risk and compares economic capital with book capital andregulatory capital to make the connotation of economic capital clear. After settingforth the researches of solvency risk, economic capital measurement and allocation,this dissertation explains the theory of risk measurement, co-dependence and capitalallocation. Then it analyzes the solvency risk of the domestic property-liabilityinsurance market. After examining the influencing factors of solvency risk based onthe gray correlation analysis in order to find the essence of the solvency risk, thesolvency risk is decomposed into underwriting risk, market risk, credit risk and operation risk.
     On the basis of the above research, four different models are set consideringdifferent characteristics of the four risks. T-Copula is used to capture the correlationsamong the eight business lines of underwriting risk. Copula-GARCH-EVT model,data extrapolation technology and a topology model are used to describe the exposureof market risk, credit risk and operation risk respectively. Finally, an empiricalanalysis is introduced to get the loss distributions of each risk.
     Further, it constructs a model to calculate the total economic capital that theproperty-liability insurance company should hold in which vine copula is introducedto depict the co-dependence among the four risks and Wang transform is alsointroduced to adjust the integration loss distribution. Vine copula is used to integratethe losses caused by the four risks because that the existing multivariate copulas cannot choose appropriate function forms adapted to actual data flexibly. Besides, thisdissertation uses Wang transform instead of VaR as risk measure, which not onlymeets the characteristics of the consistency measures of risk, but also effectivelyovercomes the shortage of underestimating tail risk of the traditional methods. Basedon the model above, taking a representive property-liability insurance company as anexample, it calculates the total economic capital needed, which is compared with thatgained by Solvency II standard coefficient method. Emperical results show that whenmeasuring a company's actual solvency risk, the method used in this dissertationallows the company holding less economic capital, proving that vine copula candepict co-dependence among different risks more effectively than Solvency IIstandard coefficient method, and that it has obvious advantages in calculatingeconomic capital an insurance company actually needs.
     As for underwriting risk and market risk, according to the smallest deviationmeasurement, minimuming deviation between each line of business and actual risk,this dissertation sets different allocation models to allocate economic capital. Theresults show that the capital allocated on auto insurance should be the biggest in theunderwriting risk and the financial bonds should be the biggest in the market risk. Asfor business line adjustment, aimed at maximize risk adjusted return on capital,ignoring real limitations, it sets up optimization model for underwriting and marketrisk. As empirical results shows, for underwriting risk, allocating all capital to theauto insurance is the best choice, while for market risk, treasury bonds and corporatebonds investment proportion should be increased, at the same time other‘s investmentproportion should be decreased.
     Finally, against the problems encountered in the capital allocation process, thisdissertation puts forward improvement suggestions from three aspects: the regulation,the association and the corporate. Regulatory authority should create economic capitalregulation system of solvency. The association should fully display its functional role.The corporate should construct economic capital allocation system. The constructionof regulatory system contains two aspects: deversifying economic capitalmeasurement methods and reinforcing the audit of methods and data. The associationshould play its functional role by keeping communication available, enhancing thecultivation of the specialized personnel and speeding up the construction ofinformation system. The economic capital allocation system of corporate contains fiveaspects, including cultivating economic capital management admosphere, improvingthe solvency risk economic capital measurement methods, choosing scientific capitalallocation models, selecting proper performance evaluation indexes and establishingcapital allocation feedback mechanisms.
引文
[1] Tower perrin. Special Guide on Economic Capital [EB/OL].http://rmtf.soa.org/speeialityguide.ecv1.5pdf,2004
    [2]刘建德.经济资本—风险和价值管理的核心[J].国际金融研究,2004,(8):44-49
    [3]陈兵.保险公司偿付能力评估的新视角—经济资本[J].保险研究,2006,(5):21-24
    [4]李艳华,张晨松,汤洪洋.经济资本—保险业风险管理新趋势[J].保险研究,2006,(12):47-49
    [5]魏迎宁,陈戈.论保险公司经济资本[J].保险研究,2008,(5):64-66,84
    [6]高军,孙彦钊.经济资本、监管资本与账面资本的比较分析[J].华北金融,2009,(3):6-9
    [7] Winter, Ralph A. The Liability Insurance Market [J] Journal of EconomicPerspectives,1991,5:115-136
    [8] Ambrose, Jan M.&J. Allen Seward. Best‘s Ratings Financial Ratios and PriorProbabilities in Insolvency Prediction [J].Journal of Risk and Insurance,1998,55:229-244
    [9]粟芳,俞自由.非寿险偿付能力影响因素的实证分析[J].财经研究,2001,27(7):23-27
    [10]闫春,赵明清.主成分分析法在非寿险保险公司偿付能力影响因素中的应用[J].数量统计与管理,2006,25(3):306-311
    [11]朱波,吴晓辉,张爱武.我国财产保险公司偿付能力影响因素的实证分析[J].保险研究,2008,5:33-37
    [12]占梦雅.中国非寿险业法定偿付能力额度标准的合理性分析与实证分析[J].金融与保险,2006,27(140):51-54
    [13]任燕燕,张晓,郭金龙.非寿险公司偿付能力额度和现金管理的研究[J].保险研究,2009,(5):34-41
    [14] Hato Schmeiser;Caroline Siegel;Joel Wagner.The Risk of ModelMisspecification and Its Impact on Solvency Measurement in the InsuranceSector[J].Journal of Risk Finance,2012,13(4):285-308
    [15]赵雪媛.我国保险公司偿付能力报告改进的探讨[J].中央财经大学学报,2007,(6):46-49
    [16]徐英,我国保险公司偿付能力监管与法规协调[J].商业研究,2011,(5):144-148
    [17]渠淼.中国保险业偿付能力监管问题分析[J].中国外资,2012,(7):189-190
    [18]高志强.基于风险的偿付能力框架研究[J].上海保险,2008,(12):11-14
    [19]彭晓燕.借鉴风险基础资本(RBC)加强保险业偿付能力监管制度建设研究[J].石家庄经济学院学报,2011,34(5):86-69
    [20]韩亮,陈欢.国际保险集团偿付能力监管改革比较研究[J].保险研究,2011,(9):71-74
    [21]邢彬,黄俊星.国际保险业偿付能力监管制度比较及发展趋势研究[J].保险研究,2011,(7):69-74
    [22] Gatzert, Nadine&Wesker, Hannah.A Comparative Assessment of Basel Ⅱ/Ⅲand SolvencyⅡ[J].The Geneva Papers on Risk and Insurance-Issues andPractice,2012,37(3):539-570
    [23]李雪,王惠,哈莹.经济资本、监管资本与账面资本的比较分析[J].活力,2011,(1):49
    [24]吴坚隽.保险公司经济资本管理的现实定位与发展趋势[J].上海保险,2005,12(10):11-13
    [25]蔡玲,邝岚.国外保险公司经济资本的应用实践与启示[J].广西金融研究,2008,5:37-39
    [26]杨明亮.经济资本、风险测度与保险公司的价值管理[J].广东金融学院学报,2009,24(6):111-126
    [27]郭祥.经济资本、企业风险管理与保险公司绩效[J].保险研究,2011,(12):26-32
    [28]杨柳.基于逆周期监管RAROC在我国保险公司经济资本配置中的运用[J].保险职业学院学报,2012,26(2):24-28
    [29] Michael K.Ong. Internal Credit Risk Models [M].Risk,2000.
    [30] Michael Araten. Current Issue in Estimating Economic Capital for CreditRisk[J].RMA Journal,2004,(3):86-97
    [31] Embrechts etc.Extreme Value Theory as a Risk Management Tool[J].NorthAmerican Actuarial Journal,1999,(4):30-41
    [32] Moneil Alexander J. Estimating the Tails of Loss Severity Distributions UsingExtreme Value Theory[J].ASTIN Bulletin,1999,27(1):117-137
    [33] Tor Jacobson, Jesper Linda and Kasper Roszbach.Credit Risk Versus CapitalRequirements under Basel Ⅱ:Are SME Loans and Retail Credit ReallyDifferent?[J].Journal of Financial Services Research,2005,(10):43-75
    [34] Gatzert, Nadine&Martin, Michael.Quantifying Credit and Market Risk underSolvency Ⅱ:Standard Approach versus Internal Model[J].Insurance:Mathematics and Economics,2012,51(3):649-666
    [35]梁凌,谭德俊,彭建刚.CreditRisk+模型下商业银行经济资本配置研究[J].经济数学,2005,(3):221-228
    [36]滕帆.中国保险公司经济资本估算[J].统计与信息论坛,2005,20(6):33-36
    [37]陈迪红,盛文文,林晓亮.财产保险公司代理人信用风险的度量[J].统计与决策,2009,(3):119-120
    [38]窦尔翔,熊灿彬.基于RAROC的我国金融机构风险与效率分析—以商业银行和保险公司为例[J].国际金融研究,2011,(1):83-89
    [39]王稳,郭祥.基于TailVaR的我国保险公司经济资本度量研究[J].中国软科学,2012,(5):148-156
    [40] J. Dhaene, M.J. Goovaerts&R. Kaas. Economic Capital Allocation Derivedfrom Risk Measures[J].North American Actuarial Journal,2003,7(2):44–59
    [41] J.D.Cummins.Allocation of Capital in the Insurance Industry[J].RiskManagement and InsuranceReview,2000,3(1):7–27
    [42] Harry H P.Measurement of Risk, Solvency Requirements and Allocation ofCapital within Financial Conglomerates[R].AFIR/ICA conference in Cancunin Mexico,2002,(3):225-289
    [43] Landsman Z,Valdez E A.Tail Conditional Expectations for EllipticalDistributions[J].North American Actuarial Journal,2003,(7):55-71
    [44] G.G. Venter. Capital Allocation Survey with Commentary [J]. North AmericanActuarial Journal,2004,8(2):96–107
    [45] Vanduffel S, Chen X, Dhaene J et al. Optimal Approximations for RiskMeasures of Sums of Lognormals Based on Conditional Expectations[J].Journal of Computational and Applied Mathematics,2008,221(1):202-218
    [46] Sona. Kyselova. Backward Allocation of the Diversification Effect inInsurance Risk[J].Working Paper.VU University Amsterdam Faculty ofSciences.2011
    [47] M. Denault.Coherent Allocation of Risk Capital[J].Journal of Risk,2001,4(1):1–34
    [48] S.C. Myers&J.A. Read Jr. Capital Allocation for Insurance Companies [J].Journal of Risk and Insurance,2001,68(4):545–580
    [49] J. Kim and M. Hardy. A Capital Allocation Based on a Solvency ExchangeOption [M]. Insurance: Mathematics and Economics,2008,In press
    [50] Ruhm David&Donald F Mango. A Risk Charge Calculation Based onConditional Probability.2003
    [51] David R Clark. Reinsurance Application for RMK Framework[R].CasualtyActuarial Society, Spring Forum,2005:353-366
    [52] Neil M. Bodoff. Capital Allocation by Percentile Layer. Enterprise RiskManagement Symposium Society of Actuaries,2007,55-78
    [53] Wang, S. A Class of Distortion Operators for Pricing Financial and InsuranceRisks [J]. Journal of Risk and Insurance,2000,67(1):15-36
    [54] Wang, S.A Risk Measure that goes beyond Coherence. Working paper, SCORReinsurance Co., Itasca, IL, US.2002
    [55] A. Tsanakas. To Split or not to Split: Capital Allocation with Convex RiskMeasures [M]. Insurance: Mathematics and Economics,2008,In press
    [56] Denault D.Coherent Allocation of Risk Capital[J].Journal of Risk,2005,37(7):635-649
    [57] J. Dhaene, A. Tsanakas, A. Valdez, S. Vandu_el. Optimal Capital AllocationPrinciples[R]. Technical Report13574, Munich Personal RePEc Archive,2009
    [58] Eduard Kromer&Ludger Overbeck. Suitability of Capital Allocations forPerformance Measurement[EB/OL].http://arxiv.org/abs/1301.5497,2013
    [59] Fernando Mierzejewski. Raising and Allocation Capital Principles as OptimalManagerial Contracts[J].Scandinavian Actuarial Journal,2013,(1):24-48
    [60]魏海港,刘汉进.论资本配置技术及其应用[J].保险研究,2005,(4):17-19
    [61]田辉.TVaR技术与非寿险产品线绩效[J].中国保险,2006,13(4):50-52
    [62]陈迪红,林晓亮.我国财险公司产品业务线经济资本配置的实证分析[J].财经理论与实践,2008,29(156):31-35
    [63]陈迪红,戴志良,王敏.经济资本配置视角下保险公司承保决策分析[J].经济数学,2009,26(2):35-40
    [64]陈迪红,张秀美.财产保险公司优化经营决策的经济资本配置[J].风险评论,2010,3(1):73-89
    [65]陈迪红,冯慧慧.Pareto损失分布下的百分层资本配置模型[J].财经理论与实践,2010,31(164):25-29
    [66]田玲,罗添元,王正文,基于Copula函数的保险公司经济资本配置研究[J].保险研究,2011,(6):51-55
    [67]盖晓伟,张国明,李仲聘.金融控股公司经济资本配置及其绩效考核初探[J]经营管理,2012,(5):60-65
    [68]李建伦.保险监管中的法定偿付能力度量问题研究[D].中国科学技术大学,合肥,2006
    [69] H.M.Markowitz.Portfolio Selection [J].The Journal of Finance,1952,7(1):77-91
    [70] Artzner, P., Delbaen, F., Eber, J.-M., and Heath, D. Coherent Risk Measures[J]. Mathematical Finance1999(9),203-228
    [71] Wirch, J.L.&Hardy, M.R. A Synthesis of Risk Measures for Capital Adequacy[J]. Insurance:Mathematics and Economics.1999(25):337-347
    [72] Dhaene, J., S. Vanduffel, Q. Tang, M. J. Goovaerts, R. Kaas, and D. Vyncke.Risk Measures and Comonotonicity: A Review[J].Stochastic Models,2006,(22):573-606
    [73]杨廷干.宏观金融风险管理—识别、测度与监管[M].北京:中国财政经济出版社,2012,12
    [74] Sklar, A. Fonctions de répartition à n dimensions et leurs marges[J].Publication. de Insitiut de Statistique de Universite de Paris,1959,(8):229–231
    [75] Nelson, R.B. An Introduction to Copulas [M].Second edition.Springer.2006
    [76] Genest, C. Favre, A.C. Everything You Always Wanted to Know about CopulaModeling but Were Afraid to Ask [J].Journal of HydrologicEngineering.2007,(12):347-368
    [77] Kurowicka. D&R. Cooke. Uncertainty Analysis with High DimensionalDependence Modeling [J].Chichester: Wiley.2006
    [78] Biller, B. Corlu, C.G. Copula-based Multivariate Input Modeling[R]. Surveysin Operations Research and Management Science,2012,(17):69-84
    [79] Kuriwucka D&Joe, H. Dependence Modeling: Vine Copula Handbook [J].World Scientific,2011
    [80] Czado, C., Brechmann, E.C., Gruber, L. Selection of Vine Copulas. Workingpaper[EB/OL].http://www-m4.ma.tum.de/fileadmin/w00bdb/www/veranstaltungen/VineHomepage/survey.pdf,2012
    [81] Czado C, Schepsmeier U, Min A. Maximum Likelihood Estimation of MixedC-vines with Application to Exchange Rates [J]. Statistical Modeling,2012,12(2):229-255
    [82] H. Grundl and H. Schmeiser. Capital allocation for insurance companies: whatgood is it?[J]. Journal of Risk and Insurance,2007,74(2):301–317
    [83]刘遵雄et.al.SCAD惩罚逻辑回归的财务预警模型[J].统计与信息论坛,2012,(12):21-26
    [84]杨国盛.我国财产保险公司偿付能力影响因素实证研究基于因子分析的视角[J].商品与质量·焦点关注,2012(2):72-73
    [85]陈迪红,陈晓铃.财险公司偿付能力影响因素对比分析[J].经济数学,2013,30(2):41-47
    [86] R.A.Shaw; A.D. Smith; G.S.Spivak. Measurement and Modeling ofDependencies in Economic Capital [J].British Actuarial Journal,2011,16(3):601-699
    [87] Berg, D. Aas, K. Models for Construction of Multivariate Dependence: AComparison Study [J].The European Journal of Finance,2009,(15):639-659
    [88] Genest C., Remillard, B, Veaudoin, D. Goodness-of-fit Tests for Copulas: AReview and a Power Study [J].Insurance:Mathematics and Economics,2009,(44):199-213
    [89]陈迪红,王清涛.我国财产保险公司承保业务线经济资本的度量[J].财经理论与实践,2013,34(184):18-22
    [90] Di Clemente, A&Romano, C. Measuring Portfolio Value-at-Risk byCopula-EVT Based Approach[J].Study Economoco,2005(3):29-57
    [91]吴振翔,陈敏,叶五一,缪柏其.基于Copula-GARCH的投资组合风险分析[J].系统工程理论与实践,2006,(3):45-52
    [92]陈迪红,盛文文,林晓亮.财产保险公司代理人信用风险的度量[J].统计与决策,2009(3):119-120
    [93]洪梅,黄华珍.我国保险公司操作风险管控体系建设研究—基于国际经验视角[J].保险研究,2012,(11):30-41
    [94]丰吉闯.商业银行操作风险度量模型选择分析[J].国际金融研究,2011,(8):88-96
    [95]陈迪红,桂芬.基于拓扑数据模型的车险操作风险度量[J].财经理论与实践,2012,(4):17-21
    [96]赵蕾,张庆洪.操作风险整体评估方法:基于拓扑数据模型的影响图[J].系统工程理论与实践,2010,(9):1563-1571
    [97]陆静,张佳.基于信度理论的商业银行操作风险计量研究[J].管理工程学报,2013,27(2):141,160-167
    [98]柴辉.调查问卷设计中信度及效度检验方法研究[J].世界科技研究与发展,2010,32(4):548-550
    [99] Chavez-Demoulin, V., Embrechts, P., and Ne lehová, J. Quantitative Modelsfor Operational Risk: Extremes, Dependence and Aggregation[J].Journal ofBanking and Finance.2006,(30):2635–2658
    [100] Di manna, J, Brechmann, E.C, Czado, C, Kurowicka, D. Selecting andEstimating Regular Vine Copula and Application to Financial Returns[J].Computational Statistics and Data Analysis,2013,(59):52-69
    [101]杜军,邹音,王斐.商业银行信用风险经济资本配置框架研究[J].长沙理工大学学报,2012,27(2):80-85
    [102] J.David Cummins. Allocation of Capital in the Insurance Industry [J]. RiskManagement and Insurance Review,2000,3(1):7-27
    [103]黄素,林晓亮.财险公司经济资本配置模型的构建与实证分析[J].浙江金融,2008,(4):48-49
    [104]郝颖.产权控制,资本投向与配置效率[M].北京:中国经济出版社,2010,9
    [105]易志刚,易中懿.基于经济资本管理保险金融综合经营风险研究[J].经济问题,2013,(5):53-56
    [106]韩天雄.非寿险精算[M].北京:中国财政经济出版社,2010,12
    [107]吕晨.欧盟偿付能力监管体制改革及启示[J].中国保险,2008,(7):59-63
    [108]赵桂芹,梁庆庆.欧盟保险业SolvencyⅡ项目最新进展及对我国的启示[J].云南财经大学学报,2009,(2):147-151
    [109]谢志刚.我国第二代偿付能力监管制度体系建设中的几个关键问题[J].精算通讯,2012,8(3):1-11
    [110] Bellini, F., Caperdoni, C. Coherent Distortion Risk Measures and Higher-orderStochastic Dominances[J].North American Actuarial Journal,2007,11(2):35-42
    [111]江先学.欧盟偿付能力Ⅱ对完善我国偿付能力监管制度的启示[J].中国金融,2010,(23):40-41
    [112]陈兵.保险公司高级财务管理实务[M].北京:中国财政经济出版社,2011,5
    [113]贺学会.银行经济资本管理的深度与广度—基于ING与中国某银行的比较分析[J].哈尔滨工业大学学报,2013,15(2):100-107
    [114]彭建刚,吴云,马亚芳.基于一致性原理的商业银行经济资本配置方法[J].系统工程理论与实践,2013,(2):338-344
    [115]李小华.基于现代企业财务管理目标的绩效评价改进措施[J].中国商贸,2012,(17):80-81

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