دانلود رایگان مقاله انگلیسی برآورد تاثیر ریسک های اعتباری بر امنیت اقتصادی یک بانک

عنوان فارسی
برآورد تاثیر ریسک های اعتباری بر امنیت اقتصادی یک بانک
عنوان انگلیسی
Estimating credit risks impact on economic security of a bank
صفحات مقاله فارسی
0
صفحات مقاله انگلیسی
16
سال انتشار
2017
فرمت مقاله انگلیسی
PDF
رفرنس
دارد
کد محصول
E5910
رشته های مرتبط با این مقاله
اقتصاد، مدیریت
گرایش های مرتبط با این مقاله
اقتصاد پول و بانکداری، بانکداری
مجله
آکادمی Zarządzania
دانشگاه
Poltava National Technical Yuri Kondratyuk University - Economy and Management
کلمات کلیدی
ریسک، ریسک اعتباری، فعالیت اعتباری، بدهی اعتباری، پسرفت، بحران مالی
چکیده

Abstract


This article focuses on a number of issues concerning bank risks estimation. First, it defines the main purpose of risk management in banking. Also, it characterizes contemporary approaches to defining the essence of economic security of a bank, as well as highlighting the internal and external factors affecting it. In addition, we introduce risk structure of Ukrainian banks and investigate the dynamics of their loan portfolio. We determine the amount of arrears in client loan portfolio of Ukrainian banks, to justify their level of income and expenses. Together with analysing the credit risk of PJSC CB “PrivatBank” and proposing risk reduction measures in Ukrainian banking system.

نتیجه گیری

Conclusions


Financial instability, in conditions of which is the banking system of Ukraine has led to a decline in bank lending market. The economic crisis in Ukraine causes some banks minimize lending programs. This is due to the fact that banks cannot compensate for their own costs of lending at the expense of revenues.


The main obstacles to the development of leading Ukrainian banks belong to the crisis condition of economics, a significant amount of bad loans, reducing public confidence in the banking system, the instability of the legislative base and others.


In these difficult conditions to maintain the economic security of Ukraine's banking sector consider it necessary to carry out activities such as:


• Avoid administrative decisions related to greater risk. For the realization of this measure is appropriate to the process of decomposition and aggregation of credit risk, which refers to the use of a greater degree of value judgments. Moreover the closer the relationship between the probability of default and any factor, the lower the “tree of decomposition”. Possible levels of decomposition and aggregation for the banking retail loan portfolio are the mortgages, credit cards, other retail loans to borrowers, their location, terms of loans, floating or fixed rate of interest on the loan, internal rating of borrowers. Possible decomposition and aggregation levels for the corporate banking loan portfolio are their locations, industry sector, the term of the loans, floating or fixed rate of interest on the loan, internal rating of borrowers. The first level of aggregation should be carried out on the rating of the borrower. The actual value of the risk, or VAR (value-at-risk) in our opinion should be assessed for each loan that gets each individual borrower, although it may be a low level. Should use correlation coefficients over the last few years as it moves up the “tree”. At the highest levels, where the correlation becomes weaker and less reliable, we consider it necessary to make a strategic decision about whether to consider the correlation separately or suggest the existence of a perfect positive correlation.


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