• The Journal of Asian Finance, Economics and Business
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• 제7권8호
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• pp.205-212
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• 2020

This study seeks to examine the main factors, external and internal to the bank, that enhance bank lending. Bank lending is one of the connecting bridges in sustaining society. Internal factors consist of ROA, DPK, and CAR. External factors are economic growth and interest rate of Bank Indonesia. The population of this research consists of traditional commercial banks listed on the IDX over the 2014-2017 period. Samples were chosen by purposive sampling method. This study uses secondary data with 56 samples; data analysis uses multiple linear regression. The findings of the study show that internal factors have a greater impact on increasing bank lending than external factors. The main variable among internal factors that influences increase in bank lending is ROA. DPK is the internal factor with the smallest impact on increasing bank lending. The implication of the study is that determining the bank lending should take more account of CAR, DPK, ROA, BI interest rates, and economic growth in making decisions about the amount of lending. These variables can only have a slight effect on increasing lending, though. Besides, internal factors such as NPL, LDR or non-economic factors also need to be considered in channeling bank credit.

• 한국산학기술학회논문지
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• 제17권6호
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• pp.676-686
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• 2016

본 연구는 국내 리츠가 운용된 2002년부터 2015년까지의 리츠사의 타인자본에 대한 차입이자율을 월별 자료로 구축하여 차입이자율의 흐름과 금리변수와의 관계를 분석하였다. 선행연구를 검토한 결과 리츠사의 차입이자율은 리츠 내부의 고유요인에 의해 결정되기도 하지만 거시경제변수 중 금리변수와 연계성이 높게 나타났다. 이에 본 연구는 K-REITs 차입이자율과 금리 변수 간에 ARDL(autoregressive distributed lag: 자기회귀시차) 모형을 설정하여 장기관계를 분석하였으며, ARDL-ECM 모형을 기반하여 단기 관계도 검토하였다. 실증분석 결과 K-REITs 차입이자율과 국고채 3년, 국고채 5년, 회사채(AA-,3년), 기업일반자금 대출금리에서 장기 공적분 관계가 형성되었으며, 이는 K-REITs 차입이자율이 장기금리 변수와 동조하고 있음을 보여준다. 또한, 기업일반자금 대출금리는 장기 관계와 단기 조정 과정에서도 K-REITs 차입이자율과의 연계성이 높게 나타났다. REITs가 금융권 차입에 관한 사항과 경영계획 수립 시에 기업일반자금 대출금리와 같은 장기금리 변수의 동향 등을 고려하여 의사결정 한다면 K-REITs 발전에 실질적인 도움이 될 수 있을 것이다.

• The Journal of Asian Finance, Economics and Business
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• 제7권9호
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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.

• 유통과학연구
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• 제22권8호
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• pp.17-27
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• 2024

Economic growth is influenced by various factors, including support from the banking world in channeling funds ownedthrough bank credit which will be a stimulus from economic activities as a source of economic growth. Purpose: Thisstudy aims to analyze the determinants of bank lending in supporting regional economic growth in South Sulawesi Province. Research Design, Data, and Methodology: This study uses secondary data taken from banking data and analyzed using path analysis Data analysis is carried out using the help of SPSS statistical analysis tools. Results: Non-Performance Loan, Three Partied Fund, Inflation, Exchange Rate directly affect economic growth. For the analysis of the indirect effect of Non-performance loans and Three Partied Funds have an indirect effect on economic growth through lending while the Loan to deposit Ratio, Inflation and exchange rate do not indirectly affect economic growththrough lending. Credit disbursement has a positive and significant effect on economic growth Conclusion: Economicgrowth of a region is influenced by many factors and these factors are influences from the banking world, the results ofthis study show that economic growth is strongly influenced by bank support through lending to support the economy by considering other factors such as interest rates and currency exchange rates

• The Journal of Asian Finance, Economics and Business
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• 제10권1호
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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.

• The Journal of Asian Finance, Economics and Business
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• 제6권2호
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• pp.119-122
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• 2019

The study aims to investigate factors influencing business households' decision for borrowing credit: the case of commercial banks in Tra Vinh Province, VietNam. The study was conducted by collecting data from 300 business households traded at four commercial banks in Tra Vinh province (Viet Nam bank for agriculture and rural development, Tra Vinh Branch; Viet Nam jointstock commercial bank industry and trade, Tra Vinh Branch; Asia joinstock commercial bank, Tra Vinh Branch; Viet Nam jointstock commercial bank for foreign trade, Tra Vinh Branch). By the use of the Binary Logistic regression method, the research found out that the factors influencing to borrow c redit of household business's decision including: banks brand names, loan interest rates, service attitude, and loan procedures. Of those, the banks brand names and lending interest rates have the strongest impacts on borrow credit decision of business households at commerc ials banks in Tra Vinh province. Since then, the study has proposed solutions to improve access to credit of business households in commercial banks in Tra Vinh province in the coming time, such as: developing a bank brand; the development of flexible lending interest rate policies; improve service style of bank staff; at the same time, simplifying lending procedures.

• 분석과 대안
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• 제4권1호
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• pp.105-123
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• 2020

This study analyzes the risk selection behavior of Japanese households. The study approaches the view of 'the hyperbolic discount' which is used in behavioral economics based on the rise in mortgage lending by low-income households in the late 2000s. The study focuses on how households risk preferences vary by income levels. The study analyzes the relationship of attitude of household interest rate risk using Binomial Logistic and Heckman two-step estimation method assuming that there are only two types of Adjustable-Rate Mortgage and Fixed-Rate Mortgage. As a result of the empirical analysis, low-income households annual income tend to have a higher proportion of housing debt as same as higher interest rate risk preferences households in proportion to income growth and interest rate risk preferences. Those results indicate that there is possibility of a hyperbolic discount on low-income households in Japan, and support the hypothesis that low-income households are relatively higher household debt ratio because of high utility due to home purchase in the near future (short-term).

• 한국전자거래학회지
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• 제23권3호
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• pp.207-224
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• 2018

온라인 P2P 대출(Online Peer-to-Peer Lending)이란 대출자(차입자)들이 인터넷 및 모바일 P2P 플랫폼을 통해 대출을 신청하면 P2P 플랫폼 기업이 이를 심사하고, 공개하여 불특정 다수가 자금을 빌려주고 이자를 받는 대출중개 서비스를 말한다. 국내외적으로 P2P 대출시장의 성장과 수익률에 대한 관심이 커진 상황에서 현재는 P2P 대출에 대한 안정성 측면에서 문제가 제기되고 있다. P2P 대출시장은 높은 수익률을 제공하지만 P2P 업체의 연체율과 부실률(채무불이행률)도 함께 높아지고 있는 실정이다. P2P 금융시장의 신뢰도를 높이기 위해서는 P2P 대출의 연체율과 채무불이행률을 줄이는 것이 무엇보다 중요하다. 본 연구는 세계적인 P2P 기업인 렌딩클럽(Lending Club)의 P2P 대출거래데이터베이스를 이용하여 인공지능기반의 P2P 채무불이행 예측모형을 구축하고자 한다. 구체적으로 벤치마크(benchmark) 모형으로 통계기법인 판별분석과 로지스틱 회귀분석을 이용하고, 인공지능기법으로는 신경망, CART, 그리고 C5.0을 이용하여 P2P 대출거래의 채무불이행 예측모형을 구축하고자 한다. 연구결과, P2P 대출거래의 채무불이행 예측을 위해 우선 고려해야 할 변수는 대출이자율이며, 중요도 3순위에 가장 많이 언급된 대출금액과 총부채상환비율도 고려해야 할 요인으로 추출되었다. 전통적인 통계기법보다는 인공지능기법의 예측성과가 더 좋은 것으로 나타났으며, 신경망의 경우 모든 데이터 셋에서 오분류율이 가장 낮은 예측모형으로 나타났다.

• The Journal of Asian Finance, Economics and Business
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• 제4권1호
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• pp.19-23
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• 2017

Based on a simultaneous-equation model consisting of aggregate demand and short-run aggregate supply, this paper estimates a reduced-form equation specifying that the equilibrium real GDP is a function of the real effective exchange rate, the government deficit as a percent of GDP, the real interest rate, foreign income, labor productivity, the real oil price, the expected inflation rate, and the interactive and intercept binary variables accounting for a potential change in the slope of the real effective exchange rate and shift in the intercept. Applying the exponential GARCH technique, it finds that aggregate output in Australia has a positive relationship with the real effective exchange rate during 2003.Q3 - 2013.Q2, the government deficit as a percent of GDP, U.S. real GDP, labor productivity and the real oil price and a negative relationship with the real effective exchange rate during 2013.Q3 - 2016.Q1, the real lending rate and the expected inflation rate. These results suggest that real appreciation was expansionary before 2013.Q3 whereas real depreciation was expansionary after 2013.Q2 and that more government deficit as a percent of GDP would be helpful to stimulate the economy. Hence, the impact of real appreciation or real depreciation on real GDP may change overtime.

• The Journal of Asian Finance, Economics and Business
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• 제8권5호
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• pp.325-334
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• 2021

This study aims to investigate whether economic growth is elevated by banking industry development in Jordan. The study adopts time-series econometric methodologies, which comprise the bounds testing approach within the autoregressive distributed lag (ARDL) and the conditional causality analysis. Consistent with the assumptions of the adopted methodology, the study utilized annual time-series data for a relatively long period of thirty-nine years, between 1980 and 2018. The empirical results show that Jordan's economic growth is strongly responsive in respect to any changes in banking industry development. Also, the results reveal the harmful impact of rising lending interest rate; as this rate increases, economic growth will decrease. The findings are in line with the conceptual arguments of the supply-leading hypothesis, which confirmed that banking development is considered as one of the main pillars that have stimulating effects on economic growth. The evidence of the current study may provide important implications for policymakers and bankers. Those professionals should work to maintain a stable regulatory system that enhances the banking system function in activating economic growth. Also, a considerable focus should be placed on designing a steady interest rate policy to avoid the inherently undesirable impacts of high-interest rates on the Jordanian economy.