工商管理专业金融银行信用风险管理与知识管理毕业论文外文文献翻译及原文

毕业设计（论文）

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文献、资料中文题目：金融银行信用风险管理与知识管理

文献、资料英文题目：

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专业：工商管理

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翻译日期： 2017.02.14

毕业设计（论文）

外文文献翻译

题目：金融银行信用风险管理与知识管理

Managing Credit Risks with Knowledge Management for

Financial Banks

Pan Jin

Department of Economics

Economics and Management School of Wuhan University

Wuhan,Hubei Province,430072,China

Panjin20102010@https://www.wendangku.net/doc/1e9198399.html,

Abstract-Nowadays,financial banks are operating in a knowledge society and there are more and more credit risks breaking out in banks.So,this paper first discusses the implications of knowledge and knowledge management, and then analyzes credit risks of financial banks with knowledge management. Finally, the paper studies ways for banks to manage credit risks with knowledge management. With the application of knowledge management in financial banks, customers will acquire better service and banks will acquire more rewards.

Index Terms–knowledge management; credit risk; risk management; incentive mechanism; financial banks

I.INTRODUCTION

Nowadays,banks are operating in a“knowledge society”.So, what is knowledge? Davenport(1996)[1]thinks knowledge is professional intellect, such as know-what, know-how, know-why, and self-motivated creativity, or experience, concepts, values, beliefs and ways of working that can be shared and communicated. The awareness of the importance of knowledge results in the critical issue of “knowledge management”. So, what is knowledge management? According to Malhothra(2001)[2], knowledge management(KM)caters to the critical issues of organizational adaptation, survival and competence in face of increasingly discontinuous environmental change. Essentially it embodies organizational processes that seek synergistic combination of data and information processing capacity of information technologies and the creative and innovative capacity of human beings. Through the processes of creating,sustaining, applying, sharing and renewing knowledge, we can enhance organizational performance and create value.

Many dissertations have studied knowledge managementapplications in some special fields. Aybübe Aurum(2004)[3] analyzes knowledge management in software engineering and D.J.Harvey＆R.Holdsworth(2005)[4]study knowledge management in the aerospace industry. Li Yang(2007)[5] studies knowledge management in information-based education and Jayasundara＆Chaminda Chiran(2008)[6] review the prevailing literature on knowledge management in banking industries. Liang ping and Wu Kebao(2010)[7]study the incentive mechanism of knowledge management in

Banking.

There are also many papers about risks analysis and risks management. Before the 1980s, the dominant mathematical theory of risks analysis was to describe a pair of random vectors.But,the simplification assumptions and methods used by classical competing risks analysis caused controversy and criticism.Starting around the 1980s, an alternative formulation of risk analysis was developed,with the hope to better resolve the issues of failure dependency and distribution identifiability. The new formulation is univariate risk

analysis.According to Crowder(2001)[8], David＆Moeschberger(1978)[9]and Hougaard(2000)[10],univariate survival risk analysis has been dominantly, which is based on the i.i.d assumptions(independent and identically distributed) or, at least, based on the independent failure assumption.Distribution-free regression modeling allows one to investigate the influences of multiple covariates on the failure, and it relaxes the assumption of identical failure distribution and to some extent, it also relaxes the single failure risk restriction. However, the independent failures as well as single failure events are still assumed in the univariate survival analysis. Of course,these deficiencies do not invalidate univariate analysis, and indeed, in many applications, those assumptions are realistically valid.Based on the above mentioned studies, Ma and Krings(2008a, 2008b)[11]discuss the relationship and difference of univariate and multivariate analysis in calculating risks.

As for the papers on managing the risks in banks, Lawrence J.White(2008)[12]studies the risks of financial innovations and takes out some countermeasures to regulate financial innovations. Shao Baiquan(2010)[13]studies the ways to manage the risks in banks.

From the above papers, we can see that few scholars have studied the way to manage credit risks with knowledge management. So this paper will discuss using knowledge management to manage credit risks for financial banks.

This paper is organized as follows: SectionⅠis introduction. SectionⅡanalyzes credit risks in banks with knowledge management. SectionⅢstudies ways for banks to manage credit risks with knowledge management. SectionⅣconcludes.

II.ANALYZING CREDIT RISKS IN BANKS WITH

KNOWLEDGE MANAGEMENT

A.Implication of Credit Risk

Credit risk is the risk of loss due to a debtor’s non-payment of a loan or other line of credit, which may be the principal or interest or both.Because there are many types of loans and counterparties-from individuals to sovereign governments-and many different types of obligations-from auto loans to derivatives transactions-credit risk may take many forms.

Credit risk is common in our daily life and we can not cover it completely,for example,the American subprime lending crisis is caused by credit risk,which is that the poor

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外文文献翻译 Commercial Bank Risk Management : An Analysis of the Process

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Improve the concept of financial supervision in rural areas1 Xun Qian Farmers in China's vast population, has some large-scale production of the farmers, but also survival-oriented farmers, huge differences between the financial needs of rural finance intermediation makes complex, together with agriculture itself is the profit low, natural and market risks high risk decision to weak agricultural industry characteristics, resulting in the cost of rural financial transactions is far higher than the city, also decided to organize the rural financial system in terms of operation or in the market has its own special characteristics. 20 years of financial reform, financial development while the Chinese city made impressive achievements, but the rural finance is the entire financial system is still the weakest link. Insufficient supply of rural finance, competition is not sufficient, farmers and agricultural enterprises in getting loans and other issues is also very prominent, backward rural financial system can no longer effectively support the development of modern agriculture or the transformation of traditional agriculture and the building of new socialist countryside, which to improve the rural financial supervision new topic. China's rural financial regulatory problems (A) the formation of China's financial regulatory system had "a line three commission " (People's Bank, the Securities Regulatory Commission, Insurance Regulatory Commission and the Banking Regulatory Commission) financial regulatory structure. Bank These stringent requirements, different management and diversification of monitoring has its positive role, but it also had some negative effects. First, inefficient supervision, supervision of internal consumption of high costs, limited financial industry business development and innovation space. Second, the regulatory agencies, regulatory bodies and the information asymmetry between central banks, banking, securities, and insurance mechanisms of coordination between regulatory bodies are not perfect. Information between central banks and regulatory agencies is difficult to share, is difficult to create effective monitoring force. Basically between the various 1American Journal of Agricultural Economics，2009.

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with knowledge management. Finally, the paper studies ways for banks to manage credit risks with knowledge management. With the application of knowledge management in financial banks, customers will acquire better service and banks will acquire more rewards. Index Terms–knowledge management; credit risk; risk management; incentive mechanism; financial banks I.INTRODUCTION Nowadays,banks are operating in a“knowledge society”.So, what is knowledge? Davenport(1996)[1]thinks knowledge is professional intellect, such as know-what, know-how, know-why, and self-motivated creativity, or experience, concepts, values, beliefs and ways of working that can be shared and communicated. The awareness of the importance of knowledge results in the critical issue of “knowledge management”. So, what is knowledge management? According to Malhothra(2001)[2], knowledge management(KM)caters to the critical issues of organizational adaptation, survival and competence in face of increasingly discontinuous environmental change. Essentially it embodies organizational processes that seek synergistic combination of data and information processing capacity of information technologies and the creative and innovative capacity of human beings. Through the processes of creating,sustaining, applying, sharing and renewing knowledge, we can enhance organizational performance and create value. Many dissertations have studied knowledge managementapplications in some special fields. Aybübe Aurum(2004)[3] analyzes knowledge management in software engineering and D.J.Harvey＆R.Holdsworth(2005)[4]study knowledge management in the aerospace industry. Li Yang(2007)[5] studies knowledge management in information-based education and Jayasundara＆Chaminda Chiran(2008)[6] review the prevailing literature on knowledge management in banking industries. Liang ping and Wu Kebao(2010)[7]study the incentive mechanism of knowledge management in Banking. There are also many papers about risks analysis and risks management. Before the 1980s, the dominant mathematical theory of risks analysis was to describe a pair of random vectors.But,the simplification assumptions and methods used by classical competing risks