• Title/Summary/Keyword: credit risk management

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Determinants of Default Risks and Risk Management: Evidence from Rural Banks in Indonesia

  • PUSPITASARI, Devy Mawarnie;FEBRIAN, Erie;ANWAR, Mokhammad;SUDARSONO, Rahmat;NAPITUPULU, Sotarduga
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.8
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    • pp.497-502
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    • 2021
  • This study aims to investigate the determinants of default risk of rural banks in East Java, Indonesia. The method used is descriptive verification and logistic regression analysis. The data used is secondary in the form of monthly annual financial reports of rural banks in East Java during the period 2009-2018. From the results, it was shown that net interest margin (NIM) as a proxy of market risk, non-performing loan (NPL) as a proxy of credit risk, operation efficiency as a proxy of operational risk and return on assets (ROA) as a proxy of profitability have a significant influence on default risk. Meanwhile, the loan to deposit (LDR) ratio as a proxy of liquidity risk has no significant influence on default risk. Banks need to implement risk management and meet the capital adequacy requirements of regulators so that they are resistant to risk, and also, compliant with bank governance to be able to produce high returns for rural banks have an impact on sustainability and its existence. The ability to identify setbacks in bank conditions and the ability to distinguish between healthy and problematic banks will enable to anticipate default banks.

Bank Capital, Efficiency and Risk: Evidence from Islamic Banks

  • ISNURHADI, Isnurhadi;ADAM, Mohamad;SULASTRI, Sulastri;ANDRIANA, Isni;MUIZZUDDIN, Muizzuddin
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.1
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    • pp.841-850
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    • 2021
  • This study aims to evaluate the relationship between bank capital, efficiency, and risk in Islamic banks. We use data from 129 Islamic banks in the world, retrieved from various data sources. We retrieved specific banking data from Moody's Analytics BankFocus and Thomson Reuters Eikon, while data at the country level was obtained from the World Bank website. This study uses various estimates both Pooled OLS (Ordinary Least Square) and Random Effect (RE). However, to overcome the issue of serial correlation which could cause bias in the results of the study, we used fixed-effect (FE) cluster estimates. The research results confirm the previous findings that bank capital positively affects bank stability (natural logarithm of Z-Score) and negatively affects credit risk (loan loss provision to total liabilities). The findings also show that efficiency has the same effect. The interaction test of bank capital and efficiency shows that efficiency encourages banks to reduce risk, including when bank capital is relatively lower. This finding is expected to have implications for the authorities to boost bank efficiency in addition to establishing several regulations related to capital. The efficiency implemented by the bank will encourage banks to act prudently so that the bank can maintain its performance through risk mitigation.

Bayesian Inference for Predicting the Default Rate Using the Power Prior

  • Kim, Seong-W.;Son, Young-Sook;Choi, Sang-A
    • Communications for Statistical Applications and Methods
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    • v.13 no.3
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    • pp.685-699
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    • 2006
  • Commercial banks and other related areas have developed internal models to better quantify their financial risks. Since an appropriate credit risk model plays a very important role in the risk management at financial institutions, it needs more accurate model which forecasts the credit losses, and statistical inference on that model is required. In this paper, we propose a new method for estimating a default rate. It is a Bayesian approach using the power prior which allows for incorporating of historical data to estimate the default rate. Inference on current data could be more reliable if there exist similar data based on previous studies. Ibrahim and Chen (2000) utilize these data to characterize the power prior. It allows for incorporating of historical data to estimate the parameters in the models. We demonstrate our methodologies with a real data set regarding SOHO data and also perform a simulation study.

Influence of Global versus Local Rating Agencies to Japanese Financial Firms

  • Han, Seung Hun;Reinhart, Walter J.;Shin, Yoon S.
    • The Journal of Asian Finance, Economics and Business
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    • v.5 no.4
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    • pp.9-20
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    • 2018
  • Global rating agencies, such as Moody's and S&P, have assigned credit ratings to corporate bonds issued by Japanese firms since 1980s. Local Japanese rating agencies, such as R&I and JCR, have more market share than the global raters. We examine the yield spreads of 1,050 yen-denominated corporate bonds issued by financial firms in Japan from 1998 to 2014 and find no evidence that bonds rated by at least one global agency are associated with a significant reduction in the cost of debt as compared to those rated by only local rating agencies. Unlike non-financial firms, the reputation effect of global rating agencies does not exist for Japanese financial firms. We also observe that firms with less information asymmetry are more likely to acquire ratings from Moody's or S&P. Additionally, the firm's financial profile does not affect its choice to seek out ratings from global raters. Our findings are contradictory to those by Han, Pagano, and Shin (2012), who employ bonds issued by non-financial firms in Japan. Our conjecture is that the asymmetric nature of financial firms makes investors less likely to depend on a credit risk assessment by rating agencies in determining the yields of new bonds.

Determinants of the Demand for Credit Facilities: Evidence from the Banking Sector in Jordan for the Period 2012-2021

  • ALRAWASHDEH, Salah Turki;ABKAL, Ahmad Mahmoud;ZYADAT, Ali Abdelh Fattah
    • The Journal of Asian Finance, Economics and Business
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    • v.10 no.1
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    • pp.181-187
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    • 2023
  • The study aimed to study the effect of the inflation rate, the real domestic product, the interbank lending interest rate, and the total deposits on credit facilities in Jordan for 2012-2021 through quarterly data. The study adopted the ARDL model. The study used the time series analysis method, as the study tests the stationarity of the time series. The results showed that the impact of inflation on the total credit facilities was negative. In contrast, the impact of each of the total deposits, real GDP, and the interest rate of interbank loans on the total credit facilities was positive and significant. The study recommended the need for the banking sector in Jordan to develop risk management mechanisms in a way that allows it to adapt to economic cycles and crises by conducting stress tests and developing scenarios that ensure the formation of sufficient provisions to meet emergencies. The study also recommended that the macroeconomic policy should be based on creating a stable macroeconomic environment that allows the efficient employment of resources in all economic sectors in a way that achieves high economic growth rates, which contributes to the promotion of economic recovery and is reflected in income. Hence, individuals have a greater ability to repay loans.

Option-type Default Forecasting Model of a Firm Incorporating Debt Structure, and Credit Risk (기업의 부채구조를 고려한 옵션형 기업부도예측모형과 신용리스크)

  • Won, Chae-Hwan;Choi, Jae-Gon
    • The Korean Journal of Financial Management
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    • v.23 no.2
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    • pp.209-237
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    • 2006
  • Since previous default forecasting models for the firms evaluate the probability of default based upon the accounting data from book values, they cannot reflect the changes in markets sensitively and they seem to lack theoretical background. The market-information based models, however, not only make use of market data for the default prediction, but also have strong theoretical background like Black-Scholes (1973) option theory. So, many firms recently use such market based model as KMV to forecast their default probabilities and to manage their credit risks. Korean firms also widely use the KMV model in which default point is defined by liquid debt plus 50% of fixed debt. Since the debt structures between Korean and American firms are significantly different, Korean firms should carefully use KMV model. In this study, we empirically investigate the importance of debt structure. In particular, we find the following facts: First, in Korea, fixed debts are more important than liquid debts in accurate prediction of default. Second, the percentage of fixed debt must be less than 20% when default point is calculated for Korean firms, which is different from the KMV. These facts give Korean firms some valuable implication about default forecasting and management of credit risk.

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The Impact of BIS Regulation on Bank Behavior in Asset Management (신 BIS 자기자본규제가 은행자산운용행태에 미치는 영향)

  • Oh, Hyun-Tak;Choi, Seok-Gyu
    • The Korean Journal of Financial Management
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    • v.26 no.3
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    • pp.171-198
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    • 2009
  • The primary purpose of this study is to examine the impact of new BIS regulation, which is the preparations to incorporate not only credit risk but also market and operation risk, on the bank behaviors. As methodology, SUR(seemingly unrelated regression) and pool unit test are used in the empirical analysis of banks survived in Korea. It is employed that quarterly data of BIS capital ratio, ratio of standard and below loans to total loans, ratio of liquid assets to liquid liabilities, allowances for credit losses, real GDP, yields of corporate bonds(3years, AA) covering the period of 2000Q1~2009Q1. As a result, it could be indicated that effectiveness and promoting improvements of BIS capital regulation policy as follows; First, it is explicitly seen that weight of lending had decreased and specific gravity of international investment had increased until before BIS regulation is built up a step for revised agreement in late 2001. Second, after more strengthening of BIS standard in late 2002, banks had a tendency to decrease the adjustment of assets weighted risk through issuing of national loan that is comparatively low profitability. Also, it is implicitly sought that BIS regulation is a bit of a factor to bring about credit crunch and then has become a bit of a factor of economic stagnation. Third, as the BIS regulation became hard, it let have a effort to raise the soundness of a credit loan because of selecting good debtor based on its credit ratings. Fourth, it should be arranged that the market disciplines, the effective superintendence system and the sound environment to be able to raise enormous bank capital easily, against the credit stringency and reinforce the soundness of banks etc. in Korea capital market.

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Development and Evaluation of Financial Management Education Program for College Students (대학생을 위한 재무관리교육 프로그램 개발 및 평가)

  • Jeong, Woon-Young;Hwang, Duck-Soon
    • Korean Journal of Human Ecology
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    • v.15 no.6
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    • pp.999-1014
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    • 2006
  • The purpose of this study were to develop a financial management educational program for college students and to evaluate the effect of this program. In order to achieve this aims, a fundamental work to select the educational contents was preceded with a survey of learners' needs, preceding studies. After choice of educational contents, learners' demands on how to manage the educational program was executed in advance. The participants in this study were 500 students, resulting in 460 with usable data. Second, reflection the above mentioned educational contents, a concrete financial management educational program was built. This program consists of 9 domains: financial planning, careers and income, consumer spending, credit use and Credit cards, Managing Taxes, investment planning, risk management and insurance, retirement and estate planning, contribution. The participants for this program implementation were 68 students. Third, to evaluate the effects of the financial management educational program, paired t-test was conducted in using the SPSS package. The result suggested that financial management educational program has a positive effect on financial knowledge, financial attitude and financial management behavior. Several implications based on the findings were suggested.

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Impact of Board Characteristics on Bank Risk: The Case of Vietnam

  • TRAN, Tu T.T.;DO, Nhung H.;NGUYEN, Yen T.
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.9
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    • pp.377-388
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    • 2020
  • The research identifies hypotheses evaluating the impact of board characteristics on the risk of the commercial bank as well as examining the determinants of bank risk in Vietnam over a 10-year period, starting from 2008. Also, in this research, the differences between the roles of women and men in decision-making are tested. Based on this decision, risks of the banks may arise. Ordinary least squares(OLS) regression, Random effect method, and Fixed effect method are used to estimate the factors that have an impact on bank risk for dataset of all commercial banks in Vietnam. The results found that equity-to-asset ratio, bank performance and the economic growth have an inverse relationship with bank risk, while the size of bank has a positive relationship with the bank risk. One of the highlights of this paper is a demonstration of the relationship between CEO's gender and bank risk. The test result shows that the bank led by a female faces a higher overall risk level and credit risk than a bank led by a male. Based on this result, the paper also makes recommendations to Government, the State Bank of Vietnam and the commercial banks for effective risk management.

A study on the analysis of customer loan for the credit finance company using classification model (분류모형을 이용한 여신회사 고객대출 분석에 관한 연구)

  • Kim, Tae-Hyung;Kim, Yeong-Hwa
    • Journal of the Korean Data and Information Science Society
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    • v.24 no.3
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    • pp.411-425
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    • 2013
  • The importance and necessity of the credit loan are increasing over time. Also, it is a natural consequence that the increase of the risk for borrower increases the risk of non-performing loan. Thus, we need to predict accurately in order to prevent the loss of a credit loan company. Our final goal is to build reliable and accurate prediction model, so we proceed the following steps: At first, we can get an appropriate sample by using several resampling methods. Second, we can consider variety models and tools to fit our resampling data. Finally, in order to find the best model for our real data, various models were compared and assessed.