外文翻译----商业银行风险管理
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1、“RISK MANAGEMENT IN COMMERCIAL BANKS” (A CASE STUDY OF PUBLIC AND PRIVATE SECTOR BANKS) - ABSTRACT ONLY 1. PREAMBLE: 1.1 Risk Management: The future of banking will undoubtedly rest on risk management dynamics. Only those banks that have efficient risk management system will survive in the market in
2、 the long run. The effective management of credit risk is a critical component of comprehensive risk management essential for long-term success of a banking institution. Credit risk is the oldest and biggest risk that bank, by virtue of its very nature of business, inherits. This has however, acquir
3、ed a greater significance in the recent past for various reasons. Foremost among them is the wind of economic liberalization that is blowing across the globe. India is no exception to this swing towards market driven economy. Competition from within and outside the country has intensified. This has
4、resulted in multiplicity of risks both in number and volume resulting in volatile markets. A precursor to successful management of credit risk is a clear understanding about risks involved in lending, quantifications of risks within each item of the portfolio and reaching a conclusion as to the like
5、ly composite credit risk profile of a bank. The corner stone of credit risk management is the establishment of a framework that defines corporate priorities, loan approval process, credit risk rating system, risk-adjusted pricing system, loan-review mechanism and comprehensive reporting system. 1.2
6、Significance of the study: The fundamental business of lending has brought trouble to individual banks and entire banking system. It is, therefore, imperative that the banks are adequate systems for credit assessment of individual projects and evaluating risk associated therewith as well as the indu
7、stry as a whole. Generally, Banks in India evaluate a proposal through the traditional tools of project financing, computing maximum permissible limits, assessing management capabilities and prescribing a ceiling for an industry exposure. As banks move in to a new high powered world of financial ope
8、rations and trading, with new risks, the need is felt for more sophisticated and versatile instruments for risk assessment, monitoring and controlling risk exposures. It is, therefore, time that banks managements equip themselves fully to grapple with the demands of creating tools and systems capabl
9、e of assessing, monitoring and controlling risk exposures in a more scientific manner. Credit Risk, that is, default by the borrower to repay lent money, remains the most important risk to manage till date. The predominance of credit risk is even reflected in the composition of economic capital, whi
10、ch banks are required to keep a side for protection against various risks. According to one estimate, Credit Risk takes about 70% and 30% remaining is shared between the other two primary risks, namely Market risk (change in the market price and operational risk i.e., failure of internal controls, e
11、tc.). Quality borrowers (Tier-I borrowers) were able to access the capital market directly without going through the debt route. Hence, the credit route is now more open to lesser mortals (Tier-II borrowers).With margin levels going down, banks are unable to absorb the level of loan losses. There ha
12、s been very little effort to develop a method where risks could be identified and measured. Most of the banks have developed internal rating systems for their borrowers, but there hasbeen very little study to compare such ratings with the final asset classification and also to fine-tune the rating s
13、ystem. Also risks peculiar to each industry are not identified and evaluated openly. Data collection is regular driven. Data on industry-wise, region-wise lending, industry-wise rehabilitated loan, can provide an insight into the future course to be adopted. Better and effective strategic credit ris
14、k management process is a better way to Manage portfolio credit risk. The process provides a framework to ensure consistency between strategy and implementation that reduces potential volatility in earnings and maximize shareholders wealth. Beyond and over riding the specifics of risk modeling issue
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