• Title/Summary/Keyword: Bank Loans

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Spillover Effects of Foreign Direct Investment Inflows and Exchange Rates on the Banking Industry in China

  • Lee, Jung Wan;Wang, Zhen
    • The Journal of Asian Finance, Economics and Business
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    • v.5 no.2
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    • pp.15-24
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    • 2018
  • The study examines the magnitude of economic spillover and the impact of foreign direct investment (FDI) inflows on the efficiency of the bank industry in China. This study employs unit root tests, cointegration tests and cointegrating regression analysis, including fully modified ordinary least squares (FMOLS), canonical cointegrating regression (CCR) and dynamic OLS (DOLS) to test the proposed hypotheses. The sample is restricted to the period of time in which monthly data is available and comparable among variables for the period from January 2002 to October 2013 (142 observations). All of the time series data was collected and retrieved from the People's Bank of China, China Monthly Statistics from the National Bureau of Statistics of China, and International Financial Statistics database from International Monetary Fund. The results of the Johansen cointegration test suggest that there is a long-run equilibrium relationship between FDI inflows, foreign exchange rate and banks performance in China. The results of cointegrating regression analysis using FMOLS, CCR and DOLS suggest that M2 supply and FDI inflows are significant at the 0.01 level. The results confirm that FDI inflows in the banking sector are positively related to the increase of banks productivity and performance and short-term loans in China. However, the results suggest that Chinese Yuan currency exchange rate to U.S. dollar is not significant in the banking and financial industry of China.

Bank-Specific Determinants of Loan Growth in Vietnam: Evidence from the CAMELS Approach

  • NGUYEN, Hoang Dieu Hien;DANG, Van Dan
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.9
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    • pp.179-189
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    • 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.

Bank Capital and Lending Behavior of Vietnamese Commercial Banks

  • DANG, Van Dan;LE, Thi Tuyet Hoa;LE, Dinh Hac;NGUYEN, Hoang Dieu Hien
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.2
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    • pp.373-385
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    • 2021
  • The objective of the study is to empirically investigate the impact of bank capital on the lending behavior of Vietnamese commercial banks from 2007 to 2019. Lending behavior is captured by two dimensions, including the quantity (loan growth) and quality (credit risk) of loans. Instead of investigating loan growth and credit risk separately, we combine these two aspects in our study and further develop the interaction term between capital buffers and credit risk to capture the asymmetric impact. We apply the dynamic model (regressed by the generalized method of moments) and the static models (regressed using the fixed effects, random effects, and the pooled regression approach) to perform regressions. The results show that banks with higher capital ratios tend to expand lending more, while the risk of credit portfolios is controlled at lower levels at these banks. Further analysis reveals that credit risk mitigates some aspects of the relationship between bank capital and loan expansion. The patterns remain robust across alternative measures and econometric techniques. The study provides insightful policy implications for bank managers and regulators in the process of upgrading capital resources to ensure the safety and soundness of the banking industry in an emerging country.

Effects of Easing LTV·DTI Regulations on the Debt Structure and Credit Risk of Borrowers

  • KIM, MEEROO;OH, YOON HAE
    • KDI Journal of Economic Policy
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    • v.43 no.3
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    • pp.1-32
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    • 2021
  • With CB data in South Korea, this study examines whether the credit risk of borrowers changes when the regulation on bank mortgage supply is relaxed. We analyze the effect of deregulation on LTV and DTI limits in the Seoul-metropolitan area in August 2014 with a difference-in-difference approach. We find that the probability of delinquency is lower in the Seoul metropolitan area after the deregulation than in other urban areas. The effect is noticeable among low-income and low-credit borrowers. We also find that borrowers change their debt structure to reduce the interest costs utilizing their improved access to bank mortgages. The findings suggest the necessity to consider the burden of the high interest costs of unsecured loans for debtors with low incomes and low credit ratings in designing housing finance regulations.

A Study on the Analysis and Prediction of Housing Mortgage in Deposit Bank Using ARIMA Model (ARIMA 모형을 활용한 예금은행 주택담보대출 분석 및 예측 연구)

  • IM, Chan-Young;Kim, Hee-Cheul
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.12 no.3
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    • pp.265-272
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    • 2019
  • In this study, we conducted a prediction study to qualitatively identify the continuous growth rate that causes problems every year for deposit bank mortgage loans, identify the characteristic factors that could once again stabilize, and come up with measures for future quantitative analysis of mortgage loans and growth trends. Based on data analysis using the R program, which is widely used for big data analysis, the parameters of ARIMA model (0.1,1)(0.1,1)[12] were found to be most suitable. In these indicators, estimates over the next five years (60 months) increased 4.5% on average. However, this has limitations that do not reflect socio-environmental factors, which require further study of these limitations.

An Empirical Study on the Role of Korean Banks' Information Production (국내 은행의 정보생산 역할에 관한 실증 연구)

  • Kim, Dae-Sik;Lee, Jae-Hyun;Lee, Joon-Haeng
    • The Korean Journal of Financial Management
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    • v.27 no.1
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    • pp.157-180
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    • 2010
  • We try to check empirically whether the Korean banks produce valuable information for the firms listed in KOSDAQ. The sample covers 164 KOSDAQ firms which disclosed long-term bank loans for the period of October 2004 and March 2006. The result shows no abnormal stock returns from bank loan disclosures while the bond issuance indicates a negative abnormal return. In addition, when we control the effect of different debt levels of sample firms, we could not find any statistically significant effect of all types of borrowings. Results suggest that bank borrowings do not convey any favorable information on stock return and, as a result, bank loan is just one of several financing tools rather than a special event conveying good news for the firm under asymmetric information situation.

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The Determinants of Distribution of Credit: Evidence from Vietnam

  • TRAN, Anh Thi;NGUYEN, Tue Dang;PHAM, Giang Hoang
    • Journal of Distribution Science
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    • v.18 no.6
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    • pp.47-55
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    • 2020
  • Purpose: The issue of access to credit for private enterprises has been given an increased amount of attention given their crucial role in fueling economic growth. Vietnamese small and medium-sized businesses, however, face many obstacles in accessing financing for profitable investment opportunities, with up to 70% unable to access or obtain bank loans. This paper aims to address the factors affecting the credit accessibility of Vietnamese enterprises, and provide further insights of this issue under the new context of Basel II. Research design, data and methodology: We adopt a pooled sections approach to construct a sample of 155 firm observations before and after the implementation of Basel II accord in Vietnam and employing binary logistic regression and interaction terms for data analysis. Results: We find that firm characteristics (export participation, female ownership) and proxies for bank-borrower relationship (deposit, overdraft facility) have significant and positive effects on firm's access to credit. Notably, the sign of interaction coefficient shows that the implementation of Basel II tends to benefit small-sized firms in terms of credit accessibility. Conclusions: The finding further emphasizes the important role of relationship lending in Vietnam's credit market, which is even more critical for small firms when Basel II is universally applied as the new banking standards in the coming years.

Developing Traditional Handcraft Villages: The Determinants of Lending Decision from Binh Duong Province's Banks in Vietnam

  • LE, Man Thi;LE, Dong Nguyen Thanh
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.2
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    • pp.151-156
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    • 2020
  • Small and medium enterprises (SMEs) play a very important role in developing countries. In Vietnam, SMEs operating in the field of handicrafts, besides contributing to the economy, also tasked to maintain and develop traditional handicrafts. However, accessing loans from banks of SMEs faces many difficulties. This study explores the determinants of bank lending decision for SMEs, particular, in traditional handicrafts business. Using dataset based on a survey conducted in Binh Duong province, Vietnam, we investigated to what determinant effects for loan approval. The analytical methods used include descriptive statistics for overall assessment, principal component analysis and regression to examine determinants of lending decisions. The results indicate that company's collateral was the most positive determinant to bank lending decision, follow by company's business plan. The role of company's leader is very important for banks considers to approve credit because company's leaders experience and relationship with stakeholders as well as banks have positive relations with bank's lending decision. Agreed with previous studies, the company's financial statement and company's credit history with banks are also significant determinants for lending decision. Whereas, the business environment seam unaffected lending decision as their relations is not significant..

The Effect of Housing Price Changes on the Performance of Korean Regional Banks (주택가격변동이 지방은행의 경영성과에 미치는 영향)

  • Han, Myunghoon;Jung, Heonyong
    • The Journal of the Convergence on Culture Technology
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    • v.7 no.2
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    • pp.165-170
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    • 2021
  • This study analyzed the effect of housing price changes on the performance of Korean regional banks using DOLS model. The analysis shows that housing price changes does not have a statistically significant effect on the loan growth, profitability and soundness of regional banks. Among macroeconomic variables, only short-term interest rates have a significant positive effect on any model. This means that a rise in short-term interest rates significantly increases loans by regional banks, which leads to a significant increase in profitability, but has a significant negative impact on soundness. On the other hand, bank characteristics variables are found to have a significant negative effect on the loan growth, profitability and soundness of Korean regional banks.

Microfinance and the Rural Poor: Evidence from Thai Village Funds

  • SRISUKSAI, Pithak
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.8
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    • pp.433-442
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    • 2021
  • This research examines the financial performance of Village and Urban Community Funds (VFs). The study also explores the beneficial effects of the biggest microfinance programs in the world in the lower and lowest income provinces; specifically, whether VFs change household economic status or not. The data is collected uniquely from the village funds in four provinces of each region in Thailand which considerably reflect the government achievement. Accordingly, several financial ratios have been applied to evaluate the financial efficiency of the village funds, and the ordered logit model has been used to estimate the impact on economic variables of the poor. The findings show that the village funds do not improve the savings, income, consumption, and asset of VFs' members, although such funds have a higher financial performance. Furthermore, the VFs are a good substitute compared to the Bank for Agriculture and Agricultural Cooperatives (BAAC) credit because the cross-price elasticity of quantity of demand for such loans is positive. In particular, the loans from village funds are insignificantly correlated with the debt, income, asset, and economic status of VF members. This implies that Thai Village Funds do not alleviate definitely the serious problem about the financial situation in rural provinces. Thus, this microfinance does not change the economic well-being of the poor.