مطالب مرتبط با کلیدواژه

Non-Performing Loans


۱.

The Impact of Provisioning Policies on Non-Performing Loans(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Money and Economy, Vol. ۱۳, No. ۳, Summer ۲۰۱۸ 343-374

کلیدواژه‌ها: Monetary policy system dynamics Non-Performing Loans

حوزه های تخصصی:
تعداد بازدید : ۲۸۷ تعداد دانلود : ۲۴۱
The Central Bank has specific regulations, including asset classification guidelines and how to perform loan’s loss provisioning to oversee banks and credit institutions. The Central Bank seeks to improve the quality of the loan and reduce the amount of nonperforming loans by reducing the revenues of the bank or credit institution through imposing fine on balance of each of the categories of non-performing loans. In this study, the effectiveness of this policy has been investigated using the system dynamics method. The results of the research indicate that the application of the above policy would at least lead to a 17% reduction in the amount of non-performing loans’ accumulation. Research suggests that, if the coverage factor of a pledge during the provision of loan, increases the effectiveness of the policy in the fight against the accumulation of non-performing loans will be eliminated. This phenomenon suggests that the Central Bank needs to focus more on preventive regulatory approaches than on a priori methods in monitoring the credit institutions in providing a loan.
۲.

An Integrated Hybrid Fuzzy Multiple-Criteria Decision-Making Model for Non-Performing Loans Collections in The Banking System (Case Study: Shahr Bank)(مقاله علمی وزارت علوم)

نویسنده:
منبع: Advances in Mathematical Finance and Application, Volume ۸, Issue ۱, Winter ۲۰۲۳ 287 - 303

کلیدواژه‌ها: Bank Non-Performing Loans Fuzzy multiple-criteria decision-making

حوزه های تخصصی:
تعداد بازدید : ۲۰۰ تعداد دانلود : ۱۹۲
The increase in non-performing loans considerably reduces profit in the banking systems. To solve these problems, factors influencing the collection of non-performing loans have to be examined in a hopeful attempt to reduce it to an ac-ceptable level. The present study is conducted to analyze and study factors influ-encing the collection of non-performing loans in Shahr Bank. This research is an applied study regarding its goal. It was conducted in two sections, namely the qualitative and quantitative sections. In the qualitative sections, the factors influ-encing the collection of receivables were identified using the theoretical literature and interviews with senior managers of Shahr Bank through the encoding process. In the quantitative section, data was collected by surveying the opinions of 12 experts, including senior managers of Shahr Bank in 2020 using a questionnaire. Thereafter, the factors were selected using the fuzzy Delphi technique and the relationships between them were determined using the fuzzy DEMATEL method. Finally, the factors were weighted and prioritized using the fuzzy ANP method. The research findings showed that non-performing loans can be collected through six types of factors including organizational, regulatory, customer, banking, envi-ronmental, and operational factors. The environmental factor is the most influential factor, while the operational factor is the most influenced and most important factor. In addition, behavioural, contextual, and structural sub-factors have the highest level of importance in the collection of non-performing loans in the order mentioned. These findings can help bank managers make decisions to improve the collection of receivables.
۳.

Analyzing the Factors Affecting the Efficiency of Iran’s Central Bank: An Application of System Dynamics Modeling(مقاله علمی وزارت علوم)

نویسنده:
منبع: Journal of Money and Economy, Vol. ۱۷, No. ۳, Summer ۲۰۲۲ 387-410

کلیدواژه‌ها: efficiency Central Bank Non-Performing Loans system dynamics Iran

حوزه های تخصصی:
تعداد بازدید : ۱۲۷ تعداد دانلود : ۱۰۱
The central bank is the most important economic institution of any country, and for this reason, the efficiency of this institution is of particular importance. Study on the efficiency of the Central Bank of Iran is an inevitable necessity due to the instability of prices and significant non-performing loans in the banking system. In this study, first, efficiency of the Central Bank of Iran along with 15 different countries was calculated by Data Envelopment Analysis (DEA) method. The input variables for calculating the efficiency of the central bank contain fixed assets and personnel and administrative cost. The output variables include monetary policy and banking supervision, which banking supervision includes financial and banking freedom and the ratio of non-performing loans. Then factors affecting the efficiency of the Central Bank of Iran between the years 2012 to 2018 were analyzed by using the system dynamics modeling method. In the first step, the causal loop diagrams (CLD) and the stock-flow diagram (SFD) of factors affecting efficiency in Central Bank of Iran were drawn were drawn. Then model validation tests were performed. Finally, different scenarios were investigated. The results of this study showed that the Central Bank of Iran in 2012-2018 is one of the most inefficient central banks among the 16 studied countries and is a long way from the three countries on the efficiency frontier like South Korea, Canada, and Australia. Central bank Independence and the significant amount of non-performing loans of the banking system are the main reasons for the inefficiency of the central bank of Iran. By applying different scenarios to improve the efficiency of the Central Bank, it was concluded that the most important effective factors to improve the efficiency of the Central Bank of Iran are monitoring the banking system along with preventing the increase of government debt with the independence of the Central Bank.