• 유통과학연구
• /
• 제18권5호
• /
• pp.5-13
• /
• 2020

Purpose: The aim of this article is to test the link between growth of loan distribution and Bank Valuation in Vietnam's banking sector. At the same time, the study also compared the differences in the effect of growth of loan to valuation bank in banks of different sizes, ownership rates and bank values. Research design, data and methodology: With panel data estimation techniques along with robust standard error for a sample of the banks listed on Vietnam stock exchange from 2012 to 2019. Results: Growth of loan has a positive impact on Bank Valuation (by Tobin's Q). A closer investigation provides evidence for the differential valuation effect of loan growth depending on different features of banks. Specifically, loan growth is found positively and significantly associated with Bank Valuation in small and non-state-owned banks only. Besides, bank size, deposit, and return on equity are found negatively associated with Tobin's Q, while loan loss provisions exhibit a positive relation with this measure of Bank Valuation. Conclusions: These findings provide contributions to the literature on the existence of the effect of loan growth on Bank Valuation. At the same time, the study also provides practical implications for policy makers in banks and investors.

• 한국산학기술학회논문지
• /
• 제16권8호
• /
• pp.5267-5272
• /
• 2015

본 연구는 2008~2013년 한국의 은행 대출 자료를 이용하여 건설 및 부동산업으로의 대출 집중과 은행 위험의 관계를 분석하였다. 각 은행의 기업대출에서 건설, 부동산업으로의 대출이 차지하는 비중을 이용하여 건설 및 부동산업의 대출을 산정하였다. 은행 위험은 부실여신(3개월 이상 연체 및 무이자 여신) 규모와 은행의 자기자본비율로 산정하였다. 분석 결과에 따르면, 1기 이전 은행의 건설, 부동산업 등으로의 대출 비중이 증가할수록 은행의 부실여신 규모는 감소하고 자기자본비율은 제고되는 것으로 나타났다. 은행의 특정 산업으로의 대출 집중은 은행의 위험을 증가시키지 않을 것으로 추정된다. 이는 대출집중으로 인해 은행들이 해당 산업에 대한 대출 전문심사 능력향상이 향상됨에 따라 이들 산업에 대한 정보비대칭성을 낮출 수 있기 때문인 것으로 추정된다. 한국의 경우 건설 및 부동산임대업으로의 대출 증가가 은행의 부실대출 위험으로 연계될 가능성은 크지 않은 것으로 진단된다.

• Journal of the Korean Data and Information Science Society
• /
• 제25권6호
• /
• pp.1591-1598
• /
• 2014

The reviews of the balance sheet of commercial banks showed that loan item constitutes the largest portion of bank's assets. Although the sector has highest rate of profit, it possesses the greatest risk. Identifying factors that can contribute in lifting-up the loan repayment rate of customers of Hawassa district commercial bank is the major goal of this study. A sample of 183 customers who took loan from October, 2005 to April, 2012 was taken from the bank record. Kaplan-Meier estimation method and univariate Cox proportional hazard model were applied to identify factors affecting bank loan repayment rate. The result from Kaplan-Meier survival estimation revealed that the loan repayment rate is significantly related with loan type, and previous loan experience, educational level and mode of repayment. The log-rank test indicates that the survival probability of loan customers is not statistically different in repaying the loan among groups classified by sex. Moreover, the univariate Cox proportional hazard model result portrayed that educational level, having previous loan experience, mode of repayment, collateral type and purpose of loan are significantly related with loan repayment rate of customers commercial bank. Hence, banks should design loan strategies giving special emphasis on the significant factors while they are giving loans to their customers.

• Asia pacific journal of information systems
• /
• 제6권1호
• /
• pp.75-108
• /
• 1996

Expert Systems (ES) have been successfully applied to bank loan decisions. However, with regard to bank loan decisions, most loan officers approach the acquisition of an ES with apprehension, which implies that organizational resources devoted to the development and implementation of ES may have been wasted or misused. Because the primary cause of the users resistance to use ES are more significantly related to the behavioral elements rather than technical elements, applying appropriate behavioral theory to the well representative sample group of the whole bank loan officers in the United States with a very accurate measurement tool can provide some clues for developing successful ES for bank loan officers. In this study : 1) Vroom's (1964) expectancy theory was selected to explain bank loan managers' motivation to use an ES ; and 2) the ANN model's prediction power to estimate bank loan officers' motivation levels of using an ES was examined.

• The Journal of Asian Finance, Economics and Business
• /
• 제7권9호
• /
• pp.105-115
• /
• 2020

The study empirically examines the effects of loan portfolio diversification on bank risk and return in the nascent banking market of Vietnam. Loan portfolio diversification is captured through the Hirschman-Herfindahl index and the Shannon Entropy with sectoral exposures. We access each bank's financial reports to collect the required data, especially the breakdown of sectoral loan portfolios, thus constituting a unique dataset. To compute bank return, we use the traditional accounting indicators, including return-on-assets, return-on-equity, and net-interest margin. For bank risk, we utilize the loan-loss provisions and non-performing loans relative to gross customer loans. Using a sample of 30 commercial banks over the period from 2008 to 2019 and the system generalized method of moments estimator for the dynamic panel, we indicate the downsides of portfolio diversification. Concretely, we observe that all diversification measures exhibit significantly negative signs in all regressions across different bank return proxies. At the same time, the estimates display the significant and positive impact of diversification on the non-performing loan ratio. Hence, sectoral loan portfolio diversification significantly hampers bank performance in both aspects of lower return and higher credit risk. The results are robust across a rich set of bank performance and portfolio diversification measures.

• 한국정보시스템학회지:정보시스템연구
• /
• 제5권
• /
• pp.205-248
• /
• 1996

Historically, the en-users' acceptance of the expert systems(ES) have generally been used as a proxy for the ES' implementation success by both practitioners and academicians. However, with regard to bank loan decisions, most loan officers approach the acquisition of an ES with apprehension. In order to overcome this skepticism, more research should focus on the behavioral aspects relate to systems acquisition and usage. This research applied Vroom's(1964) expectancy theory in an effort to predict end-users' motivation to use an ES in a bank loan decision context. Because human behaviors and judgements are nonlinear rather than linear functions, accurately predicting human behavior is very difficult. To increase the prediction power for end-users' motivation to use an ES in a bank loan decision context, this research used an artificial neural network (ANN) model. In this research, an attempt was made to evaluate adequacy of the surrogates by analyzing differences between real bank loan officers and student surrogates in applying expectancy theory to estimate bank loan officers' motivation to use ES in a bank loan decision context.

• The Journal of Asian Finance, Economics and Business
• /
• 제6권3호
• /
• pp.9-18
• /
• 2019

The purpose of this study is to investigate the relation between conservative loan loss accounting practice of banks, defined as accounting behavior that increases loan loss allowances against expected credit losses, and bank lending. Furthermore, we specify the macroeconomic conditions reflecting debtors' borrowing environments and analyze how these conditions affect the relation between conservative loan loss allowances and bank lending. Although existing literature reports that accounting conservatism has a direct effect on non-financial firms' investment behavior, there is little evidence about an effect of conservatism on banks' lending behavior. By exploiting data showing the links between individual Japanese firms and their individual lenders to control both loan demand and supply, we estimate OLS regressions to test the relationships among conservative loan loss allowance, bank lending, and macroeconomic conditions using a unique dataset containing bank-firm-year observations between 2001 and 2013. We find banks that have conservative loan loss allowances tend to provide fewer loans to firms with financing needs when macroeconomic conditions are good and these conservative banks are likely to provide more loans to firms when macroeconomic conditions are bad. Our findings suggest that reflecting expected credit loss into loan loss allowances can mitigate the procyclical behavior of banks.

• The Journal of Asian Finance, Economics and Business
• /
• 제7권9호
• /
• pp.179-189
• /
• 2020

The paper empirically examines the bank-specific determinants of loan growth in the Vietnamese banking system for the period from 2007 to 2019. We approach the CAMELS framework and employ the dynamic panel regression to determine the effects of each CAMELS factor on bank lending. To ensure the robustness of results, we also use alternative definitions of the variables and different specifications with and without full sets of CAMELS components. With these settings, we display multiple important results. (i) We find that a large capital buffer tends to boost bank lending expansion faster. (ii) High asset quality might positively contribute to high loan growth; in other words, banks subject to high credit risk are discouraged from making loans. (iii) Less efficiently managed banks are more likely to adopt an aggressive lending strategy, highlighting the moral hazard incentives of Vietnamese banks. (iv) More profitable banks with excellent competitive advantages could expand their lending activities to a larger extent. (v) Liquidity is positively related to the loan growth of banks. (vi) Perceived interest rate risk tends to suppress loan growth since interest-rate-sensitive banks might be concerned about the adverse effects of unpredictable adverse changes in interest rates in the future.

• The Journal of Asian Finance, Economics and Business
• /
• 제9권3호
• /
• pp.303-309
• /
• 2022

The goal of this research is to examine how credit (loan) can help rural households in Tra Vinh province create jobs in the wake of the COVID-19 outbreak in Vietnam over the last two years. The authors performed a direct survey, using a questionnaire, with 300 customers who had loan records at the Tra Vinh VBSP branch under the loan programs. From January to April 2021, jobs will be available at 07 transaction offices in districts and cities (Cau Ngang; Duyen Hai, Tieu Can, Cang Long, Tra Vinh City, Chau Thanh, Tra Cu). Using the multivariate regression method, the research has found 12 factors affecting the ability to access the employment loan program: Age, Educational Level, Occupation of households, Income, Household land area, Asset, Loan, Interest rates, Loan procedures, Loan purpose, Credit relations. From the above research results, the authors have proposed solutions to improve the ability to access credit to create jobs for each subject group at Viet Nam Bank for Social Policies, Tra Vinh Province in the future.

• 한국경영과학회지
• /
• 제37권2호
• /
• pp.17-29
• /
• 2012

We examine a mortgage bank's incentive distortion problem when the bank sells its existing loan through MBS(Mortgage-Backed Security), considering the mortgage market structure and varying investors' risk attitude. Main findings in our comparative statics are the followings. The bank's monitoring incentive on the loan sold is distorted downwards when the deposit interest rate is lower than the coupon rate of MBS. Credit enhancement associated with the loan sale may mitigate the incentive distortion problem. However, the downward distortion of monitoring incentive does not disappear unless the credit enhancement, a loan guarantee, is provided up to 100%. Finally as the investors' risk preference changes from risk-neutral to risk-averse type, the incentive distortion problem becomes more severe. At the end, we recommend the introduction of covered bond in order to mitigate the incentive distortion problem, which is inevitable to current pass-through MBS.