商业银行监管评级问题研究
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摘要
商业银行是经营货币与信用的特殊企业,在经营过程中面临着信用风险、市场风险、利率风险、汇率风险、操作风险等多种风险。随着现代经济的快速发展,除存贷款和结算等传统业务以外,各种复杂的金融衍生工具和衍生品层出不穷,金融风险的特征也发生着深刻变化。20世纪以来,由于风险管控不利导致银行破产情况时有发生,而银行破产对经济的巨大破坏与冲击,使人们越来越重视对银行风险的防范和管理,1988年《巴塞尔协议》的诞生,使得世界范围内,在衡量与管控银行风险方面有了一定的规制与要求。此后,随着该协议的不断改进与完善,各国在银行监管措施方法上也有了进一步的发展与创新。
     改革开放以来,我国经济发生了日新月异的变化,银行业也随着宏观经济的不断发展,在规模、质量、产品和服务上有了质的飞跃,银行与证券、银行与保险、银行与信托等机构的合作越来越密切,业务之间的相互交叉点越来越多,银行业所面临的风险也更加复杂多样。特别是近几年来,随着我国房地产市场的快速发展和城市公共基础设施的大规模建设,银行向房地产开发企业和政府融资平台公司投放了大量的贷款,房地产行业贷款与政府融资平台贷款的急剧增加,使得银行风险进一步积聚。众所周知,经济快速发展时期,社会对资金的需求往往更加强烈,在目前金融仍处于垄断行业的前提下,民间借贷、非法集资和影子银行等银行外部金融活动产生的风险正逐步向银行渗透和传染。从银行自身经营管理方面看,部分机构追求即期利润,忽视远期风险;注重规模、数量,疏于风险管控的经营理念也使商业银行面临很大的潜在风险。因此,采用什么样的风险评估方法才能更加科学的测度与衡量商业银行的实际风险程度,并据此采取有针对性的监管措施,从而有效防范金融风险是各国银行监管当局所面临的重大课题。
     无论国内还是国外,过往经验均表明,定期对商业银行进行整体风险评估,并根据风险等级不同,采取有针对性的监管措施不失为一种科学适用的监管方法,实践中也得到了各国银行监管当局的普遍性认可。
     目前,我国银行监管当局采取的是借鉴国际主流评级方法,并根据我国银行业实际情况进行了修改和完善的具有中国特色的适用于在中华人民共和国境内包括中资商业银行、外资独资银行和中外合资银行在内的所有商业银行法人机构的CAMELS+的监管评级体系,以及适用于股份制商业银行分支机构的ROCA+S评级体系。但相对而言,我国银行业监管评级工作仍处于起步和探索阶段,监管评级体系还存在很多不完善之处。近年来的监管实践表明,监管评级在监管当局制定监管措施,明确监管重点方面有着非常重要的作用,但从监管评级方法、手段以及参照要素指标等方面看,仍有进一步修改和完善的必要。
     就银行评级方法而言,过往更多的是介绍一些适用于银行本身对信用风险和市场风险等方面进行判别的手段方法和度量模型,并据此提出改进和完善的相关建议。但辩证唯物主义告诉我们,任何单方面的分析都具有一定的主观性、片面性和局限性,多维度来考量和评判才能更全面客观的反映事物的本质,从而更有助于分析和解决问题。
     基于此,本文从银行外部视角出发,结合作者从事的银行监管实践,对目前监管当局使用的监管评级方法进行了深入研究,并就国际上主流的银行监管评级方法进行了分析和对比。指出目前我国银行监管评级中存在的不足与缺陷,并据此提出了修改和完善的合理化建议。全文共分七章,各章的主要内容与结构安排如下:
     第一章是绪论。主要对选题意义与背景进行了简要介绍,对国内外有关评级的研究文献进行了回顾,并就研究思路和文章结构安排予以说明。鉴于目前国内有关评级方面的研究相对很少,现有的研究也均建立在国外研究基础上的,所以本章重点对国外相关研究文献进行了综述。
     第二章是银行风险与监管。监管的前提是银行风险的客观存在,所以该章对银行风险内涵、分类、特征以及宏观与微观层面上银行风险生成的机理进行了介绍,并就全面风险管理的内涵、特征和数理化核心技术方面进行了论述,对我国商业银行面临的风险现状进行了总结。
     第三章是银行监管与评级。具体介绍了银行监管理论、内涵、监管的主要内容、监管原则和监管方法。并简要回顾了评级的发展历程,对评级作用和局限性进行了阐述,介绍了标准普尔、穆迪和惠誉三家世界上最大评级公司的评级方法、过程。对银行监管评级理论、分类和作用进行了概述,并对国内外主要银行应用的评级体系进行了对比分析。最后,对我国监管当局使用监管评级规制进行了简要说明。对中诚信国际与大公国际等两家国内较大的评级公司及其评级方法也进行了简要介绍。
     第四章是银行监管评级体系构建。该章对银行监管评级进行了全面深入的研究,从评级的原理、理论基础入手,详细介绍了监管评级的分类以及各国金融监管当局使用的监管评级方法,并就目前各国银行业内部评级方法进行了系统性的研究。提出了对我国银行监管评级体系的具体改进建议。
     第五章是监管评级实证研究。该章运用美国运筹学家T. L. Saaty教授创建的多层次分析法(AHP),结合目前监管当局监管使用的ROCA+S评级体系,构建多变量层次结构模型,确定各要素层次的总、分矩阵并通过C.R检验,计算出最后监管评级结果。实证结果表明,该模型有助于监管当局更加客观的评估商业银行风险水平。
     第六章是案例分析。以某全国性股份制商业银行分支机构年度监管评级为实际案例,详细介绍了监管当局对股份制商业银行分支机构年度监管评级的方法、内容、评分规则。从风险管理、营运控制、合规性、资产质量和总行支持度等几个方面对该机构进行评级打分,并确定其最终的评级等次。并就等级评定后采取的不同监管措施以及被评级机构作出的反映进行了阐述。
     第七章是结论。对本文的研究内容进行了总结概括,指出了本文研究的不足之处以及进一步的研究方向。
     与过往银行监管评级文章相比,本文有以下几个特点:
     一、鉴于我国商业银行监管评级工作起步较晚,该领域的相关研究较少。因此,本文就该领域进行了尝试性的探讨和研究,并力图构建更加科学合理的监管评级体系,为今后进一步的研究提供一定的参考与借鉴。
     二、构建多变量实证模型,变量选择全面客观,较以往的实证分析更加全面深入。
     三、以监管评级的实际案例作为分析对象,使得分析具有实际参考和借鉴意义。
The commercial bank is such a special enterprise which operates the money and credit and would face to credit risk, market risk, rate risk, exchange risk and operation risk during the operation time. Along with the rapid development of the modern economic, expect the general business like the deposit and loan and the settlement, there are a series complicated financial derivative tools and financial derivatives coming out, so as the characters of the finance risk has changed deeply. From the beginning of20century, due to the failure of the risk control the bankrupt of the banks occurred a lot, and shocked the economic deeply. So people has attached more and more importance to the control and administration of the bank risk. From the born of Basel Agreement in1988, there was a assured regular and requirement for the measurement and control for the bank risk. After that, along with the continuous improvement of this agreement, all of the countries has developed and innovated the method of the banking supervision.
     From the beginning of the reforming and opening up, the economics of China had a rapid change. And the bank industry also developed along with the economics, which had a full range of blooming in the scope, the quality, the production and the service.the cooperation between the bank industry and the securities industry, the insure industry and the trust industry have become more and more closed. There are more and more junctions among those businesses. So the risk that the bank industry faces has become more and more complicated. Especially in the recent years, along with the rapid development of the house market of our country and the large-scale construction of the urban public infrastructure, the bank industry has loaned a huge number of money to the estate development companies and the government finance platform companies. So the loan of the real estate industry and government finance platform has increased rapidly. For the reason mentioned above, the bank risk cumulated more and more. For the generally knowing, during the time of the rapid development of the economic, the society demands the capital stronger. And under the pre-condition of the monopolization of the finance industry, the out-bank finance activities like Private lending, illegal fund collection and shadow bank are all infecting and infiltrating into the bank industry. From the subject of the operation and administration of the bank itself, parts of the institutions are pursuing the current benefit and ignoring the long-term benefit. In the meantime, there is a huge potential risk for the commercial bank due to the operation idea of valuing of the scope and quantity and ignoring of the control of the risk. For this reason, it is a very important subject for the banking supervision authorities of all of the countries that to choose what kind of risk evaluation method to measure the real risk level of the commercial bank more scientifically so as to implement niche targeting regulatory measures.
     No matter internal or external, according the past experience, it is a scientific and reasonable supervision method that evaluating the overall risk of the commercial bank regularly, and then taking niche targeting regulatory measures according the different level of risk, which has achieved the approbation from each of the banking supervision authorities in the practice.
     In the current time, our bank supervision authority use the CMMELS+supervisory grading system, which is such a supervisory grading system available in People's Republic Of China with the special character of China, including China-capital commercial bank, foreign-capital bank and Sino-foreign joint bank, utilizing the international major grading method and adjusted and improved according the real situation of the bank industry in our country. And our bank supervision authority also uses the ROCA+grading system which is available for the joint-stock commercial bank branch. On the contrary, the banking supervisory grading work in our country is still in the period of starting and researching. So there are lots of defects in the supervisory grading system.In the practice of the recent years, the supervisory grading system played a very important role in the subject of designing supervision measures and making clear the key point of the supervision. But according the subjects of supervisory grading methods and measures and the reference factor index, there is still necessary to adjust and improve.
     For the bank grading method, we introduced too much methods and measuring model which are available for the bank itself to identity the credit risk and market risk in the past. And based on those methods and measuring model we submitted the advisement to improve. But according the dialectical materialism, all of the single side analysis are subjective, one-sidedness and circumscribed. Only the measuring and judging from multiple sides could reflect the nature more all-sided and objective, so as to help to analyze and solve the problem.
     Based on the subjects mentioned above and combined the banking supervision practice of the writer, the writer discussed the current supervisory grading method used by the supervision authority and analyzed and compared the popular banking supervisory grading methods in the world.and then, the writer pointed out the deficiencies in the banking supervisory grading in our country.and according this, the writer provided the adjusting and completing advice for it. This paper contains seven sectors. The major concept and structure of this paper shows below:
     Chapter One is the introduction. In this chapter, the writer introduced the meaning of this subject and the background, and then explained the researching train of thought and the structure of this paper. Whereas the current situation that there is only a few of the research about the grading sector internal and the current research are all based on the external research, this paper would focus on the summarize of the external related research documents.
     Chapter Two is about the bank risk and administration.the objective reality of the bank risk is the premise of the banking supervision. So, this paper would introduce the concept, classification, character of the bank risk and the naissance theory of the bank risk on the macro and micro level. And then, the writer would discuss the concept, character and mathematics nucleus technology sector of the overall risk administration.
     Chapter Three is about the banking supervision and grading.In this chapter, the writer introduced the theory and concept of the banking supervision, the major content of the supervision, the principle of the supervision and the method of the supervision. The writer reviewed the developing history of the supervisory grading briefly. And then, the writer expounded the function and limitations of the supervisory grading. After that, the writer introduced the supervisory grading method and procedure of the three biggest grading company in the world which are Standard and Poor's Corporation, Moody's Company and Fitch. The writer summarized the theory, classification and function of the banking supervisory grading and compared and analyzed the current supervisory grading system in the internal and external major bank. At the end of this chapter, the writer made a brief about the current supervisory grading regulation in Chinese supervision authority. And then, the writer made a brief about Fidelity Financial International and Emirates International and their supervisory grading methods.
     Chapter Four is about the research of the banking supervisory grading system. In this chapter, the writer made a deep research about the banking supervisory grading system. And then, the writer introduced the classification of the supervisory grading detailed and the supervisory grading methods of each countries'finance supervision authority on the base of the original theory of supervisory grading. At the end of this chapter, the writer researched the internal grading method of each countries' bank industry systemically.
     Chapter Five is about the empirical analysis of the supervisory grading.In this chapter, the writer used analytic hierarchy process (AHP) established by USA opsearch expert T.L.Sssty, combined with the current ROCA+S grading system of the supervision authority using, confirmed the global matrix and sub-matrix, and then calculated the final supervisory grading result by C.R test. The demonstration result reflected the fact that this model is helpful for the supervision against the commercial bank by the supervision authority.
     Chapter Six is the case study. In this chapter, the writer took the annual supervisory grading of one of the nationwide joint-stock commercial bank branch as the real case, to introduce the annual supervisory grading method, content and rating regulation of the joint-stock commercial bank branch by the supervision authority. The writer would give a mark and grade from several sectors of risk administration, operation control, compliance, the capital quality and the degree of the support from the head office, and then confirm the final graded level. After that, the writer would expound various supervision measure and the reaction of the supervised institutions after the confirm of the grading level.
     Chapter Seven is the conclusion.In this chapter, the writer concluded the content of this research and pointed out the deficiencies of this research and the direction of this research.
     Comparing the preterit bank industry grading papers, this paper shows several characters listed below:
     I The character of the research based on the supervisory grading method. This is different from the preterit internal research about the commercial internal grading and the independent third party grading.
     II The character of choosing different supervisory indexes as the mathematic analyzing index from the supervisory sector and making the research more closed to the reality by taking the real supervisory data. This character is beneficial for the comparing and analyzing on the level of theory and practice, which is helpful to avoid the disjointing between the theory and the reality, so as to be more useful for the real work of the banking supervision work.
     Ⅲ Most of the preterit research are staying on the level of theory. But in this paper, the writer took the real supervisory grading case as the analyzing subject. So the analysis became more intuitionistic and the result became more believable.
引文
[1](美)菲利普.乔瑞.VaR风险价值-金融风险管理新标准[M].北京:中信出版社,2000:77页.
    [2](意)皮埃特罗.潘泽、(美)维普.K班塞尔.用VAR度量市场风险[M].北京:机械工业出版社,2001:45页.
    [3]菲利普.乔瑞(美).风险价值VaR[M].北京:中信出版社,2005.
    [4]安贺新.信用管理概论[M].北京:首都经济贸易大学出版社,2007.
    [5]阿诺.德.瑟维吉尼(潘永泉译).风险度量与管理[M].北京:机械工业出版社,2012.
    [6]白钦先、刘刚、郭翠荣.各国金融体制比较[M].中国金融出版社,2008.
    [7]毕明强.基于贡献度分析和客户关系的商业银行贷款定价方法研究[J].金融论坛,2004(7):44-50页.
    [8]巴曙松.巴塞尔新资本协议研究[M].北京:中国金融出版社,2003.
    [9]巴塞尔银行监管委员会.巴塞尔银行监管委员会文献汇编[M].北京:中国金融出版社,2002.
    [10]曹莆.商业银行外汇风险的控制与监管[J].中国外汇管理,2005(10)
    [11]陈信华.金融衍生工具(定价原理运作机制及实际运用)[M].上海:上海财经大学,2004.
    [12]陈昕.商业银行个人信用风险的实证分析[J].现代审计与经济,2008(3):37-38.
    [13]陈涛.基于AHP与DEA的组合方法确定指标权重[J].科学技术与工程,2007(12):144-146。
    [14]崔炳文.新巴塞尔协议下中国商业银行信用风险管理研究[D].天津大学,2006:31-33。
    [15]陈雪莲.贝叶斯判别分析在财务预警中的应用[J].经营管理,2008年第11期:91-92。
    [16]陈述云.我国银行非现场监督风险评级模型研究[J].财经科学,2006.
    [17]陈建梁.银行业风险评估理论模型与实证[M].广州:广东人民出版社,2002.
    [18]陈有志.信用衍生工具及其对信贷市场的影响[J].山东经济,2005(1)
    [19]陈忠阳.金融风险分析与管理研究-市场与机构的理论、模型与技术[M].北京:中国人民大学出版社,2001.
    [20]陈秀花.信用衍生品对金融稳定性的影响及政策建议[J].现代管理科学,2004(9).
    [21]董裕平.契约.结构与发展[M].北京:中国金融出版社,2003.
    [22]段兵.信用风险管理的工程化趋势及应用[J].国际金融研究,2002(6)
    [23]董颖颖,柯孔林.信用计量技术及在我国的应用分析[J].华东经济管理,2002(6).
    [24]邓云胜、任若恩.贷款组合信用风险VaR仿真技术的一种优化方法[J].统计研究,2003(6):39-43.
    [25]邓云胜、刘莉亚.商业银行内部信用评级方法的比较研究[J].当代财经,2004(9):37-41.
    [26]董小君.美国金融预警制度及启示[J].国际金融研究,2004,(01):58-60.
    [27]丁邦开、周仲飞.金融监管学原理[M].北京:北京大学出版社,2004.
    [28]范俊.企业信用评级比较研究-兼论我国中小企业信用评给体系的构建[D].北京大学硕士学位论文,2002.
    [29]冯宗宪.金融风险管理[M].西安:西安交通大学出版社,2011.
    [30]方添智.信用评级利益冲突规制研究[M].中国商务出版社,2012.
    [31]方晓燕.论国有商业银行的资本经营[J].学术界,1999(2)
    [32](英)菲尔.亨特.金融衍生工具理论与实践(修订版)[M].成都:西南财经大学出版社,2007.
    [33]冯晓伟.基于RAROC模型的国有商业银行风险管理研究[D].四川农业大学硕士学位论文,2005.
    [34]傅元略.金融工程-衍生金融产品与财务风险管理[M].上海:复旦大学出版社,2007.
    [35]菲利普.乔瑞(美).金融风险管理同手册[M].北京:中国人民大学出版社,2004.5.
    [36]高慧璇.应用多元统计分析[M].北京:北京大学出版社,2005年.
    [37]冈特.勒夫勒、彼得.N.波施.信用风险模型[M].北京:中国财政经济出版社,2011.
    [38]郭敏华著.信用评级[M].北京:中国人民大学出版社,2004年.
    [39]龚朴、何旭彪.信用风险评估模型与方法最新研究进展[J].管理评论,2005(5).
    [40]洪玫.资信评级[M].北京:中国人民大学出版社,2006:249-251.
    [41]亨利.范.格罗、索尼亚.布雷约维克.布拉塔塔维克.银行风险分析与管理[M].北京:中国人民大学出版社,2006.
    [42]胡胜.现代商业银行信用风险度量与管理[M].北京:中国金融出版社,2011.
    [43]韩建峰.建立和完善商业银行授信风险管理机制[J].上海金融,25-18.
    [44]韩平、席酋民.违约相关性研究[J].统计研究,2001(5):52-56页.
    [45]韩琳、贾德奎.国外信用风险转移市场的发展及启示[J].经济纵横,2006(4).
    [46]何思文、谢雨.打造风险管理新体系[J].资本市场杂志,2002(4):22-26页.
    [47]蒋树宽.银企信用风险管理[M].广州:广东经济出版社,2001.
    [48]贾文学.商业银行信用风险与宏观经济周期关系研究[M].浙江金融,2007(12).
    [49]姜琳.美国FICO评分系统述评[J].商业研究,2006(20):81-83.
    [50]孔刘柳.商业银行信贷和契约行为理论[M].上海:上海财经大学出版社,2001.
    [51]李建英、刘海玲,《信用衍生工具:国有商业银行规避风险的手段》,《农村金融研究》,2004(2)
    [52]李勤.信用风险对冲技术与我国商业银行的信用风险管理[J].金融论坛,2002(7).
    [53]李艳、陈德棉.信用风险管理新发展给我国商业银行的启示[J].哈尔滨金融高等专科学校学报,2003(9).
    [54]李志辉.现代信用风险量化度量和管理研究[M].北京:中国金融出版社,2001:10页.
    [55]梁琪.宏观经济环境与信用风险度量和管理研究[J].南开经济研究,1999(3)
    [56]刘宏峰、杨晓光.信用衍生产品的类型及用途[J].管理评论,2003(2)
    [57]陆晓明.银行风险管理的警钟[J].国际金融研究,2002(9)
    [58]栾小华.现代商业银行风险管理技术及我国商业银行的对策[J].世界经济情况,2006(16)
    [59]罗平.巴塞尔新资本协议研究文献及评述[M].北京:中国金融出版社,2004.37页.
    [60]刘园.国际金融风险管理[M].北京:对外经济贸易大学出版社,1998.12.
    [61]李娜.压力测试在风险管理中的应用[J].技术经济与管理研究,2006(4)
    [62]李兴法、王庆石.基于CreditMetrics模型的商业银行信用风险应用研究[J].财经问题研究,2006(12).
    [63]李永孝.基于RAROC的银行经济资本配置研究[D].东北财经大学硕士论文,2005.
    [64]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)
    [65]梁世栋.商业银行风险计量理论与实务-<巴塞尔新资本协议>核心技术[M].北京:中国金融出版社,2009.
    [66]李曙光.个人信用评估研究[M].北京:中国金融出版社,2008.
    [67]刘俊剑.信用管理实务教程[M].北京:中国金融出版社,2008.
    [68]刘澄、徐明威.信用管理[M].北京:经济管理出版社,2010.
    [69]李良琼.商业银行风险预警模型研究[D].辽宁工程技术大学硕士论文,2005年.
    [70]李华明、向颖珍.我国上市区域性股份制商业银行的信用风险预警模型及实证研究[J].湘潭大学学报2007年第11期:77-81.
    [71]刘乐平.信用评级原理[M].北京:中国金融出版社,2011.
    [72]刘毅、杨德勇.金融业风险与监管[M].北京:中国金融出版社,2006.
    [73]李兵.银行监管边界问题研究[M].北京:中国金融出版社,2005.
    [74]刘园.国际金融风险管理[M].北京:对外经济贸易大学出版社,2012.
    [75]李成.金融监管学[M].北京:科学出版社,2006.
    [76]林谦.金融风险预警系统及发展[J].统计与决策,2007,(14):50-53.
    [77]林钧跃.征信技术基础[M].北京:中国人民大学出版社,2007.
    [78]刘志强.金融危机预警指标体系研究[M].世界经济,1999,(04):17-23.
    [79]廖崛.从美国次贷危机反思现代金融监管[J].国际经济评论,2008.
    [80]鲁士淳.银行风险评价信息系统设计与实现[D].天津大学硕士论文,2005.
    [81]刘宇飞.国际金融监管的新发展[M].北京:经济科学出版社,1999.
    [82]刘明志.银行管制的收益和成本[M].北京.中国金融出版社,2003.
    [83]刘仁伍,吴境择.国际金融监管前沿问题[M].北京:中国金融出版社,2002
    [84]李信宏,邵立强,庄建华,冯彦明,尚静.信用评级[M].北京:中国人民大学出版社,2006年.
    [85]刘晓剑,张强.信用评级机构监管的演化动态博弈分析[J].财经理论与实践,2011年第6期.
    [86]马文洛,陈玉著.银行评级原理、类别与方法[M].上海:上海财经大学出版社.
    [87]毛振华,阎衍.信用评级前沿理论与实践[M].北京:中国金融出版社,2007年.
    [88]麦元勋、杨星.信用衍生工具及其启示[J].国际经贸探索,2003(4).
    [89]牛源.中国商业银行风险预警系统的构建及其实证研究[J].北方经济2007年第5期:93-95.
    [90]裴晓明.信用衍生产品渐行渐近[J].金融时报,2006-05-31(4).
    [91]彭江平.商业银行风险管理的理论与系统[M].成都:西南财经大学出版社,2001.80页.
    [92]邱伟.构建我国信用体系的多方位思考[J].财经科学,2002(6).
    [93]曲秋实、李莉.基于Logit模型的商业银行信用风险评估[J].商业经济,2010(12):72-74
    [94]孙连友.金融体系压力测试:概念与方法[J].济南金融,2006(2).
    [95]史建平.银行风险管理[M].北京:中国人民大学出版社,2004.
    [96]佘春宁.我国银行监管的理论依据与对策[J].南方金融,2007.
    [97]升埃尔.贝西著,许世清等译.商业银行风险管理-现代理论与方法[M].深圳:海天出版社,2001.
    [98]宋清华,李志辉.金融风险管理[M].北京:中国金融出版社,2003.1.
    [99]孙晓成.金融风险及其防范[M].北京:中国发展出版社,2000.
    [100]施兵超,杨文泽.金融风险管理[M].上海:上海财经大学出版社,2002.3.
    [101]唐.M.钱斯(美).衍生金融工具与风险管理[M].北京:中国人民大学出版社,2004.7.
    [102]谭中明.社会信用管理体系-理论、模式、体制与机制[M].合肥:中国科学技术大学出版社,2005.
    [103]托尼.布伦登(吴建刚译).精通操作风险[M].北京:人民邮电出版社,2013.
    [104]唐国储、李选举.新巴塞尔协议的风险新理念与我国国有商业银行全面风险管理体系的构建[J].金融研究,2003(1).
    [105]田瑞璋.借鉴新资本协议提高我国商业银行风险管理水平[J].中国金融,2003(11).
    [106]完世伟.信用衍生工具及其在我国的应用分析[J].金融理论与实践,2005(8).
    [107]王岗.巴塞尔新资本协议框架下的信用衍生工具设计研究[J].开放导报,2004(5).
    [108]王江.转轨经济中商业银行制度变革与风险控制[M].北京:经济科学出版社,2000.56页.
    [109]王泽宇.信用衍生工具与信用风险管理[J].国际金融,2003(2).
    [110]吴建政、闫岚.内部风险评级最新进展及中国银行的战略选择.投资研究[J],2002(12)
    [111]武剑.商业银行内部评级体系的建立与应用[J].现代商业银行导刊,2002(9).
    [112]王春峰.金融市场风险管理[M].天津:天津大学出版社,2001.
    [113]吴晶妹.资信评级[M].北京:中国人民大学出版社,2005.
    [114]吴世农、卢贤义.我国上市公司财务困境的预测模型研究[J].经济研究2010年第6期:46-55.
    [115]吴静鸣.我国商业银行风险的早期预警模型研究[D].厦门大学博士论文.2003年.
    [116]熊熊、张维.基于逐步判别分析方法的商业银行监管、监控指标分析[J].天津大学学报(社会科学版),2007(1):51-54.
    [117]许文、朱天星、徐明圣.商业银行信用风险评级理论及相关模型研究[M].北京:中国金融出版社,2012.
    [118]肖庆宪.信用衍生产品在信用风险管理中的作用[J].数量经济技术经济研究》2004(6).
    [119]谢平.中国金融改革面临的挑战[M].中国工业经济,1999(4)
    [120]熊利平.我国商耗能、高排放行业信用风险研究[J].宏观经济管理,2008(1).
    [121]熊志斌.基于遗传进化型模糊神经网络的信用风险评估模型构建及应用[M].华南理工大学出版社,2012.
    [122]许传华.开放条件下金融风险预警指标体系研究[M].湖北:湖北人民出版社,2012.
    [123]Y.Malevergne,D.sornette.极端金融风险[M].北京:世界图书出版社,2006.
    [124]阎庆民.中国银行业风险评估及预警系统研究[M].北京:中国金融出版社,2005年.
    [125]叶伟春.信用评级理论与实务[M].上海:上海人民出版社,2011.
    [126]运筹学教材编写组.运筹学[M].北京:清华大学出版社,2005.
    [127]杨谊.银行风险定量监测与评级体系研究[J].山东大学学报,2003.
    [128]杨文翰.商业银行信用风险度量模型与管理研究[D].南京航空航天大学博士学位论文,2006.
    [129]于立勇、詹捷辉.基于Logistic回归分析的违约概率预测研究[J].财经研究,2004(9):19-23.
    [130]阎治军.转型时期我国金融信用环境的文化解析[J].甘肃金融,2002(12)
    [131]杨晓东.商业银行信用风险计量研究-IRB法的核心技术[M].兰州学刊,2004 (4)
    [132]杨筱燕.信用风险模型与我国商业银行信用风险管理[J].社会科学辑刊,2005(4)
    [133]杨宜.构建市场经济条件下的新型银企关系[J].金融科学,2000(1).
    [134]叶永刚、顾京圃.中国商业银行内部控制体系研究[M].北京:中国金融出版社,130-209页.
    [135]易华.信用衍生产品及其监管[J].中国金融,2006(2).
    [136]尹灼.信用衍生工具与风险管理[M].北京:社会科学文献出版社,2005.
    [137]于荟楠.信用风险管理新技术-信用衍生产品[J].经济问题探索,2000(2)
    [138]于研.信用风险的测定与管理[M].上海:上海财经大学出版社,2003.189-232页.
    [139]喻平.信用衍生产品的功效及在我国的发展前景[J].金融论坛,2003(10)
    [140]袁东明、任晶晶.利用信用衍生工具管理银行信用风险[J].河南社会科学,2003(5)
    [141](美)伊斯雷尔.尼尔肯著,张云峰、宋瑞、范德胜译.实用信用衍生产品[M].,北京:机械工业出版社,2002.35页.
    [142]约翰.B.考埃特(美).演进着的信用风险管理[M].北京:机械工业出版社,2001.4.
    [143]周林.世界银行业监管[M].上海:上海财经大学出版社,1998.
    [144]周道许.现代金融监管体制研究[M].北京:中国金融出版社,2000.
    [145]中国银行战略发展部课题组:美国主权信用评级下调及影响[J].银行家.2011年第9期.
    [146]周昱今.我国信用评级业的制度性缺陷与破解对策[J].财经问题研究,2011年第12期.
    [147]臧健.信用衍生产品和银行信用风险管理的新趋势[J].宏观经济管理,2004(4).
    [148]詹向阳、张兴胜.巴塞尔新资本协议及其相关问题研究[J].金融论坛,2001(8):48-53页.
    [149]张利胜、狄娜.中小企业信用担保[M].上海:上海财经大学出版社,2002.56页.
    [150]张维迎.博弈论与信息经济学[M].上海:上海人民出版社,1996.
    [151]张卫国.建立信用制度的建议[J].金融理论与实践,2002(8)
    [152]章彰.商业银行信用风险管理-兼论巴塞尔新资本协议[M].北京:中国人民大学出版社,2002.66页.
    [153]赵其宏.商业银行风险管理[M].北京:经济管理出版社,2001.58页.
    [154]赵银祥.新巴塞尔协议及国内外银行内部评级体系研究[J].金融论坛,2003(2).
    [155]赵征.信用衍生工具的品种特色与效率贡献[J].中南财经政法大学学报,2004(2).
    [156]周爱民、刘乃岳.金融风险的实时检测-汇率偏差估计与风险价值量测算[M].北京:经济管理出版社,2000.58页.
    [157]周玮、杨兵兵.论现代商业银行信用风险管理的基本要素[J].国际金融研究,2003(1).
    [158]朱小宗.信用风险度量模型分析及其在我国银行业的应用研究[D].重庆大学博士论文,38页.
    [159]朱忠明.金融风险管理学[M].北京:中国人民大学出版社,2004.12.
    [160]詹原瑞.银行信用风险的现代度量与管理[M].北京:经济科学出版社,2004.
    [161]张晨.VaR在我国金融风险管理中的运用研究[J].合肥工业大学学报(自然科学版),2003(6).
    [162]赵家敏、陈庆辉、袁岗.全面风险管理模型设计与评价:基于RAROC的分析[J].国际金融研究,2005(3).
    [163]赵敏.经济资本理念与我国银行管理艺术-风险与价值管理[J].价值工程,2007(1).
    [164]张继宝.商业银行内部评级体系研究[D].对外经贸大学硕士学位论文,2005.
    [165]赵家敏、黄英婷.我国商业银行中小企业信用评级模型研究[J].金融论坛,2006(4):16-20.
    [166]中国银行业监督管理委员会:中国银行业监督管理委员会非现场监管指引[J]2010年.
    [170]张立军、王瑛、刘菊虹.基于贝叶斯判别分析的上市公司财务危机预警模型研究[J].商业研究2009年第4期:112-114.
    [171]朱荣恩.新世纪信用评级研究与探索[M].北京:中国金融出版社,2012,78.
    [172]周仲飞.银行监管案例精编[M].上海:上海财经大学出版社,2004.
    [173]中国工商银行内部审计局.信用风险内部评级审计实务[M].北京:中国金融出版社,2012.
    [174]詹姆士.R.巴茨(黄毅、张晓朴译).反思银行监管[M].北京:中国金融出版社,2007.
    [175]朱荣恩.新世纪信用评级研究与探索[M].中国金融出版社,2012.
    [176]赵霜茁.现代金融监管[M].北京:对外经济贸易大学出版社,2004.
    [177]Altman,Edward I..Financial Ratios,Discriminant Analysis and the Prediction of Corporate Bankruptcy. Journal of Finance,1968(23):589-609.
    [178]Antulio N. Bomfir. Understanding Credit Deriatives and Their Potential to Synthesise Riskless.
    [179]Arnoud W.A.Boot, Anjan V. Thakor.Financial System Architecture. The Review of FinancialStudies,1997(10):693-733.
    [180]Arping S..Playing Hardball:Relationship Banking in the Age of Credit Derivatives.Mimeo,University of Amsterdam. Arturo Estrella. Financial Innovation and the Monetary Transmission Mechanism.Working Paper,August 2001.
    [181]Arturo Estrella. Securitisation and the Efficacy of Monetary Policy.FRBNY Economic PolicyReview,May 2002:1-13.
    [182]Assets.Federal Reserve Board Finance and Economics Discussion Series Paper 2001-50, July 2001.
    [183]Altman,Edward I, Haldeman, R. G.,Narayanan, P..ZETA Analysis:A New Model to Identify Bankruptcy Risk of Corporations. Journal of Banking and Finance, 1997(1),29-54.
    [184]Albert Metz, Richard Cantor, Pamela Stumpp. The Effectiveness of Credit Rating as Indicators of Relative Industry Default Risk [J].Moody's Investors Service, 2004(9):3-5.
    [185]Alfred Hamerle, Thilo Liebig, Daniel Rosch. Credit Risk Factor Modeling and the Basel Ⅱ IRB Approach Discussion Paper, Series2 Banking and Financial Supervision,2003(2).
    [186]Aitman E. I, J. Hatzell, M. Peck. A Scoring System for Emerging Market Corporate Debt [M].New York:Salomon Brothers,1995.
    [187]Altman, E.I. Financial Radios, Discriminate Analysis and the Prediction of Corporate Bankruptcy. [J]. Journal of Finance,1968(23):189-209.
    [188]Acharye, V., Bharath, S. and Srinivasan, A. Understanding the Recovery Rates on Defaulted Securities [J].CEPR Discussion Paper,2003(4098).
    [189]Alexander, S., Coleman, T. and LI,Y. Minimizing CVAR and VAR for a Portfolio of [69]Derivatives [J] Journal of Banking & Finance,2006(30): 583-605.
    [190]Alexander, C. Risk Management and Analysis:Measuring and Modeling [J].John Wiley & Sons,1996.
    [191]Antonio, A., Rolf,S. Fiscal Policy Events and Interest Rate Swap Spreads Evidence from the EU [J]. Working Paper Series,2004(303).
    [192]Afonso, A., Furceri, D. and P.Gomes (2012):Sovereign credit ratings and financial markets linkages-Application to European data. Journal of International Money and Finance,1, pp.1-33.
    [193]Aizenman, J., Hutchison, M. M., and Y. Jinjarak, (2011):What is the risk of european sovereign debt defaults? fiscal space, cds spreads and market pricing of risk. NBER Working Papers Series, No.17407.
    [194]Alsakka,R., Gwilym,0. (2012):Rating agencies credit signals:An analysis of sovereign watch and outlook. (21),pp.45-55
    [195]Altman, E. Land D.L.Kao (1992):The implication of corporate bond ratings drift. Financial Analyst Journal, May-June,64-75.
    [196]Amisano, G. and O. Tristani, (2011):Disentangling fundamentals and contagion in euro area sovereign bond spreads. European Central Bank, mimeo.
    [197]Andersen, L., Sidenius, J. and Basu, S.(2003):All your hedges in one basket, RISK.
    [198]Andersson, A. and P. Vanini (2009):Credit Migration Risk Modelling. Working Paper, [79]Electronic copy available at:http://ssrn.com/abstract=1275202.
    [199]Arezki, R., B. Candelon and A. N. R. Sy (2011):Sovereign Rating News and Financial [81]Markets Spillovers:Evidence from the European Debt Crisis. IMF Working Paper, WP/11/68.
    [200]Arvanitis, A., Gregory, J. and Laurent, J.-P.(1999):Building Models for Credit Spreads, Journal of Derivatives 6(3).
    [201]Altman, E., Financial Ratios, Discriminant Analysis and the Prediction of Corporate Bankruptcy, The Journal of Finance,1968,23(4),589-609.
    [202]Bank for International Settlements, Working Paper on the Treatment of Asset Securitisations.October 2001.
    [203]Bank for International Settlements. Credit Risk Transfer.January 2003.
    [204]Bank for International Settlements..Credit Risk Transfer.October 2004.
    [205]Bank for International Settlements.Operational Risk Transfer Across Financial Sectors. August 2003:1-38.
    [206]Bank for International Settlements.The Role of Rating in Structured Finance:Issues and Implications January 2005.
    [207]Bank of England.Financial Stability Review.June 2002.
    [208]Banking Policy Department of Hong Kong Monetary Authority.Results of the 2005 Survey on.
    [209]Barth J. R, Brumbaugu R. D., Sauerhaft D.. Thrift Institution Failures:Estimating the Regulator's Closure Rule. Research in Financial Services., JAI Press,1989(1):222-228.
    [210]Beaver,William H. Financial Ratios as Predictors of Failure. Journal of ccounting Research,1966,71-111.
    [211]Benedikt Goderis, Ian W. Marsh,Judit Vall Castello,Wolf Wagner.Bank Behaviour with Access to Credit Risk Transfer Markets.Working Paper,2006.
    [212]Bernadette Minton,Tim Opler,Sonya Stanton.Asset Securitization among Industrial Firms.Unpubished Paper,Ohio State University,Novermber 1997.
    [213]Beaver, W H. Financial Radio as Predictors of Failure [J]. Journal of Accounting Research,1966,4:71-102.
    [214]Bielecki, T. R and M. Rutkowski. Credit Risk:Modeling, Valuation and Hedging. Springer 2002.
    [215]Bai, X., Russell J. and Tiao G. Kurtosis o GARCH and Stochastic Volatility Models with Non-normal Innovations [J]Journal of Econometrics,2003,114(2): 349-360.
    [216]Ball, C. and Roma, A. Stochastic Volatility Option Pricing [J].Tthe Journal of Financial and Quantitative Analysis,1994,29(4):589-607.
    [217]Bissoondoyal-Bheenick, E (2012). Do sovereign rating changes trigger spillover effects?. Research in International Business and Finance,26(1),79-96.
    [218]Bissoondoyal-Bheenick, E & Brooks, R*& Hum, S*& Treepongkaruna, ST (2011). [85]Sovereign rating changes and realised volatility in Asian foreign exchange markets during the [86]Asian crisis. Applied Financial Economics, 21(13),997-1003.
    [219]Brennan,M., J. Hein and S.H. Poon(2008):Tranching and Rating. Working Paper,Electronic copy available at:http://ssrn.com/abstract=1108556.
    [220]Beaver, W., Financial Rations as Predictors of Failure, Empirical Research in Accounting:Selected Studies, Joumal of Accounting Research 1996,(4),71-111.
    [221]Carleton,W. T., Lerner, E. M.. Statistical Scoring of Municipal Bonds, Journal of Money, Credit and Banking. June 1969:201-228.
    [222]Cheng Wang and Atephen D. Williamson.Adverse Seletion in Credit Markets with Costly Screening,Working Paper,1993.
    [223]Cherubini, U., andLuciano, E. Copulamethodsinfmanee, Wiley,2004.
    [224]Credit Derivatives and Asset Securitisation Activities.Hong Kong Monetary Authority Quarterly Bulletin, June 2006:15-19.
    [225]Crouhy, Miehel, DanGalai & RobertMark. Aeom Parative Analysicuen Tcredi Trisk Models Joumal of Banking and Finanee 2004(24),59-117.
    [226]Chesser, Delton. Predicting Loan Noncompliance [J]. Journal of Commercial Bank Lending,1974(8):1209-1235.
    [227]Cantor, Richard, and C. Mann(2009):Are Corporate Bond Ratings Procylical?:An Update.Moody's Investor Services, Moody's Global Credit Policy, Special Comment, May 2009.
    [228]Casey, Kathleen L.(2009):In Search of Transparency, Accountability, and Competition:The Regulation of Credit Rating Agencies. Speech by SEC Commissioner U.S.Securities and Exchange Commission Remarks at "The SEC Speaks in 2009", Washington, D.C. February 6.
    [229]Charoenwong, C., Li,X.H. and Visaltanachoti,N. (2004):Market Reaction to Credit Rating Announcements in the Irish Stock Market. Working Paper, Electronic copy available at:http://ssra.com/abstract=488243.
    [230]Christina E. Bannier and M.Tyrell (2011):Credit rating agencies,financial market stability, and efficiency. Working Paper, Electronic copy available at: http://ssrn.com/abstract=1564029.
    [231]Cruces, Juan J. (2006):Statistical Properties of Sovereign Credit Ratings. Emerging Markets Review, Vol.7, No.1, pp.27-51.
    [232]D. Besanks & A. V. Thakor.Competition Collateral and Rationing:Models of Sorting Equilibria in the Credit Market. BRC Working Paer No.96,Northwestern University,1985.
    [233]Davis,Mark & VioletLo. Infeetious Defaults. Quantitative Finaneel,2001:383-387.
    [234]Dellacherie, C.& P. A. Meyer.Probabilities and Potenitial.North Holland, Amsterdam.
    [235]Duffle, D. and M. Huang. Swap Rates and Credit Quality. Journal of Finanee51, 1996:921-949.
    [236]Duffle, D. and N. Garleanu. Skand Valuation of Collateralized,2001.
    [237]Eisenbeis R. A.. Pitfalls in the Appication of Discriminant Analysis in Business,Finance and economics. Journal of Finance,1977(32):875-900.
    [238]Edmister R. An Empirical Test of Financial Ratio Analysis for Small Business Failure Prediction[J]. Journal of Financial and Quantitative Analysis,1972,7(2): 147-193.
    [239]F. Sortion, and R. Van der Meer.Downside Risk.Journal of Portfolio Management, Vol.17, Summer 1991.
    [240]Fraydman, H, Aitman E.I., Kao, D., Introducing Recursive Partitioning for Financial Classification:The Case of Financial Distress. Banking and Finance, 1985(11):265-291.
    [241]Fried Joel and Peter Howitt. Credit Rationing and Implict Contract Theory. Journal of Money Credit and Banking,1980(13):472-487.
    [242]Gale D. and M. Hellwing.Incentive-compatible Debt Contracts the One Period Problem. Review of Economic Studies,1985:647-664.
    [243]Gupton,G., M., Stein, R. M. LossCale:Moody's Model for Predicting Loss Given Default(LGD), Moody's Investors Service, Global Credit Research, February 2002.
    [244]Gunter, L., Goethe, U. F. An Anatomy of Rating Through the Cycle [J]. Journal of Banking and Finance,2002,21:215-260.
    [245]Gande, A.& Parsley, D. C.(2005). News Spillovers in the Sovereign Debt Market. Journal of Financial Economics, Elsevier, vol.75(3), pp 691-734.
    [246]Goh, Jeremy C. and Louis H. Ederington(1993):Is a Bond Rating Downgrade Bad News, Good News, or No News for Stockholders? Journal of Finance 48 (December):2001-2008.
    [247]Goh, Jeremy C. and Louis Ederington(1999):Cross-sectional variation in the stock market reaction to bond rating changes. The Quarterly Review of Economics and Finance 39(1):101-112.
    [248]Griffin, Paul A. and Antonio Z. Sanvicente 1982. Common Stock Returns and Rating Changes:A Methodological Comparison. Journal of Finance 37 (March): 103-119.
    [249]Hand, J., Robert Holthausen and Richard Leftwich.1992. The Effect of Bond Rating Agency Announcements on Bond and Stock Prices. Journal of Finance 57 (June):733-752.
    [250]Horton, J. J.. Statistical Classification of Municipal Bonds. Journal of Bank Research.1979,Spring,118-127.
    [251]Holthausen, Robert W., and Richard W. Leftwich.1986. The Effect of Bond Rating Changes on Common Stock Prices. Journal of Financial Economics 17 (September):57-89.
    [252]Hull, J. and White, A.(2004) Valuation of a cdo and a nth to Default CDS Without Monte Carlo Simulation, Journal of Derivatives 12(2).
    [253]Hurd, T. R. and Kuznetsov, A.(2006):Affine Markov chain model of multifirm credit migration, Journal of Credit Risk 3(1).
    [254]Ignacio A. and Vincentelli V.(2007):Credit Rating Agencies and Financial Stability. Working Paper, Electronic copy available at:http://ssrn.com/ abstract=1299041.
    [255]Ismailescu,I. and Kazemi,H. (2009):The Reaction of Emerging Market Credit Default Swap Spreads to Sovereign Credit Rating Changes. Working Paper, Electronic copy available at:http://ssrn.com/abstract=1496602.
    [256]Jarrow, R., Lando, D. and Turnbull, S.(1997):A Markov Model for the Term Structure of Credit Spreads, The Review of Financial Studies 10(2).
    [257]Jorion, P. and G. Zhang(2007):Good and Bad Credit Contagion:Evidence from Credit Default Swaps. Journal of Financial Economics,84(3),860-883.
    [258]Jorion, P. and G., Zhang(2006):Information Effects of Bond Rating Changes:The Role of the Rating Prior to the Announcement. Working Paper, Electronic copy available at:http://ssrn.com/abstract=1497536.
    [259]K. Dowd. VAR by Increments Risk:Special Report on Enterprise-Wide Risk Management, November 1998.
    [260]K. Howard.An Introduction to Credit Derivatiives. Derivatives Quarterly,2(2) 1995.
    [261]Krahnen, J.P., Weber, M. Generally Accepted Rating Principles:A Primer[J]. J ournal of Banking and Finance,2001,25(4):3-24.
    [262]Kaminsky, G. and Schmuckler, S.L. (2002), "Emerging Markets Instability:Do Sovereign Ratings Affect Country Risk and Stock Returns?, World Bank Economic Review,16:2, pp.171-195.
    [263]Lando, D. (1998):On Cox Processes and Credit Risky Securities, Review of Derivatives Research 2.
    [264]Laurent, J.P. and Gregory, J.:2003, Basket default swaps, cdo's and factor copulas, Journal of Risk 7(4).
    [265]Li, L. X. (2000):On default correlation:a copula function approach, Journal of Fixed Income.
    [266]Linciano, N. (2004):The Reaction of Stock Prices to Rating Changes. Working Paper, Electronic copy available at:http://ssrn.com/abstract=572365.
    [267]Meyer, Y., and H. Pifer, Prediction of Bank Failures, The Journal of Finance, 1970,25(4),853-868.
    [268]Minsky, H.Can"it"haPPenagain?Essaysoninstabilityandfinanee.NewYork:M.E. Sharpe.1982.
    [269]M.Carey.Credit Risk in Private Debt Portfolios. Journal of Finance,Vol 53, August 1998.
    [270]Madalla G S.. Limited-Dependent and Qualitative Variables in Econometrics. Cambridge:Cambridge University Press,1983:232-234.
    [271]Messier W. F., Hansen J.V.. Inducing Rules for Expert System Development an Example Using Default and Bankruptcy Data. Management Science. 1988(34):12-22.
    [272]Merton, R.C. On the Pricing of Corporae Debt:The Risky Structure of Interest Rates [J]. Journal of Finance,1974,29(2):449-470.
    [273]Merton, R.C. (1974):On the Pricing of Corporate Debt:The Risk Structure of Interest Rates. Journal of Finance, Vol.29,449-470.
    [274]Mollemans, M. (2003):The Credit Ratings Announcement Effect in Japan. Working Paper, Electronic copy available at:http://ssrn.com/abstract=431000.
    [275]Moody's Investors Service (2005):Special Comment:Default & Loss Rates of Structured Finance Securities:1993-2004, New York.
    [276]Markets. World Economics, vol.10(4), pp.69-108.Also see IMF Working Paper, WP/09/129.
    [277]Martin, k., Early Warning of Bank Failure:A Logit Regression Approach,Journal of Banking and Finance,1977,3(1),249-276.
    [278]Norden, L. and M. Weber(2004):Informational efficiency of credit default swap and stock markets:The impact of credit rating announcements. Journal of Banking and Finance,28,2813-2843.
    [279]Ohlson J. Financial Rations and the Probabilistic Prediction of Bankruptcy.Accounting Research.1980, Spring,109-130.
    [280]Odem, M. D. and Sharda, R.A. Neural Network Model for Bankruptcy Prediction IEEE INNS International Joint Conference on Neural Network,1990(2) 163-168.
    [281]Ohlson, J. A. Financial Radios and the Probabilistic Prediction of Bankruptcy [J]. Journal of Accounting Research,1980(18):109-130
    [282]Pinches, G. E. and Mingo, K.A.. Multivariate Analysis of Industrial Bond Rating Journal of Finance. March 1973:1-18.
    [283]Pogue, T. F., Soldofsky, R. M.. What's in a Bond Ration? Journal of Financial and Quantitative Analysis. June 1969:201-228.
    [284]Press S.J., Wilson S.. Choosing between Logistic Regression and Discrimininat Analysis J. Statist. Assoc.,1978:699-705.
    [285]Philippe Jorion and Gaiyan Zhang Information Effects of Bond Rating Changes:The Role of the Rating Prior to the Announcement. Working Paper, Electronic copy available at:http://ssrn.com/abstract=1497536.
    [286]R. Dembo. Value-at-Risk and Reture.Net Exposure:The Electronic Journal of Financial Risk, Vol.1, October 1997.
    [287]Rabah Arezki, Bertrand Candelon and Amadou N. R. Sy (2011). Sovereign Rating News and Financial Markets Spillovers:Evidence from the European Debt Crisis. IMF Working Papers 11/68, International Monetary Fund.
    [288]Radelet, S., and Sachs, J.(1998):The onset of the East Asian financial crisis. Brookings Papers 28(1),1-74.
    [289]Reinhart, Carmen(2002):Default, currency crises, and sovereign credit ratings. Working paper. University of Maryland, Washington, D.C.
    [290]Saunders, A. Credit Risk Measurement:Nes Approaches to Value at Risk and Other Paradigms [M]. Nes York:John WILEY & Son,1999.
    [291]Sobehart,J.R., Keenan, S.C., Stein, R. M. Benchmarking Quantitaive Default Risk Models:A Validation Methodology. Moody's Investors Service.2000.
    [292]Samarakoon, P.(2011):Stock market interdependence, contagion, and the U.S. financial crisis:The case of emerging and frontier markets. Journal of International Financial Markets, Institutions & Money (21):724-742.
    [293]Securities and Exchange Commission(2003):Report on the Role and Function of Credit Rating Agencies in the Operation of the Securities Markets. As required by Section 702(b) of the Sarbanes-Oxley Act of 2002, January, www.sec.gov.
    [294]Securities and Exchange Commission(2009):Briefing Paper:Roundtable to Examine Oversight of Credit Rating Agencies. April 2009, www.sec.gov/spotlight/craoversight-roundtable/agenda.htm.
    [295]Standard & Poor's (2005):CDO Evaluator Version 3.0:Technical Document, London.Sy, A. N. R. (2009):The Systemic Regulation of Credit Rating Agencies and Rated.
    [296]Sinkey, J., A Multivariate Statistical Analysis of the Characteristics of Problem Banks, Journal of Finance,1975,30(1),21-38.
    [297]Theodore55, Ballkereditriskratingmethodology(an analytical framework for banks in developed markets).Moody'5investorsserviee, Globalereditresearch.1999
    [298]Thomas, Lyn C. A Survey of Credit and Behavioral Scoring:Forecasting Financial Risk of Lending to Consumers. International Journal of Forecating, 2000(16):149-172.
    [299]Taffler,R. J. and Tisshaw, H.J. Going, Going,Gone, Four Factors Which Predict [J]. Accountancy,1997,88(3):50-54.
    [300]Tam, K.Y. and Kiang, M. Managerial Application of Neural Network:The Case of Bank Failure Predictions [J]. Management Science,1992,36:937-938.
    [301]Treacy, W.F., Carey, M.S. Credit Risk Rating at Large U.S. Bank Federal Reserve Bulletin,Board of Governors of the Federal Reserve System, November 1998, 897-921.
    [302]Trueck, S. and Rachev, T.(2009):Rating Based Modeling of credit Risk:Theory and Application of Migration Matrices.London:Academic Press, Elsevier Inc..
    [303]Tam, K., and M.Kinan, Managerial Applications of Neural Network, A New Tool for Predicting Thrift Failure, Decision Science, Jul/Aug1992,899-916.
    [304]White, L. J.(2010):Markets:The Credit Rating Agencies. Journal of Economic Perspectives,24(2):211-26.
    [305]Wilson, T.C. (1997):Portfolio credit risk II. Risk 10 (October),56-61.
    [306]Whalen,G., and J. Thomson, Using Financial Date to Identify Changes in Bank Condition, Economic Review of Federal Reserve Bank of Cleveland,1988,Issue Q2,17-26.

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