Analysis of Some Inner Factors Affecting the Lending Rate and Commercial Bank Behavior (original) (raw)

ANALYSIS OF SOME INNER FACTORS AFFECTING THE LENDING RATE AND COMMERCIAL BANK BEHAVIOR (An Empirical Study Based on the Commercial Banking Sector of Pakistan

This research study aims to investigate the potential inner factors of the lending rate in the commercial banking sector of Pakistan. For this purpose, seven bank-specific explanatory variables (capital adequacy, management efficiency, liquidity, asset quality, investment to asset, loan to asset and deposit to asset ratios) were selected to determine their impact on lending behavior. Panel data techniques were emplyed on secondary data collected from the annual financial reports from a sample of ninteen major commercial banks over a period of 2007 to 2014. For the purpose of analysis, descriptive statistics, Pearson correlation and panel data techniques for regression analysis such as the fixed effect regression models were considered after conforming to the Hausman specification (1978) test. The findings of this study revealed that only four out of seven explanatory variables (ratio of investment to total assets, deposit to asset, loan to asset and liquidity ratio) have a significant relationship with lending rate. Two of the significant determinants (liquidity ratio and investment to asset ratio) are positively correlated while the remaining two significant explanatory variables (loan to asset ratio and deposit to asset ratio) are found negatively correlated with lending rate. The findings of the study are applicable to the banking sector of Pakistan. The current study ignored the use of macro factors like GDP and inflation, etc. which could be used in future research. Analysis of some inner factors affecting the lending rate and commercial bank behavior

Factors may drive the commercial banks lending: evidence from Jordan

Banks and Bank Systems

In an attempt to shed more light on the behavior of lending in banks, especially in the environment of developing countries, this study aims at explaining the impact of some factors proposed as determinants of bank lending in Jordanian commercial banks by benefiting from the financial reports of thirteen banks during the period 2010-2016. The study, in order to achieve the objectives and to test the main hypotheses has adopted Ordinary least square model (OLS). The most important results of the study are a statistically significant adverse effect of both credit risk and liquidity on bank lending, while there is a significant positive effect of the return on assets, size of the bank measured by assets, inflation, money supply and growth in gross domestic product in determining the level of lending. In addition, the study does not show a significant statistical effect between investments, the volume of deposits and bank lending in the same time frame. The review points out that becaus...

The Relationship between Lending Rate and Nonperforming Loans in Commercial Banks: Evidence from Pakistan (2008-2014)

Journal of Business & Tourism, 2021

The objective of the study was to examine the relationship between lending rate and nonperforming loans in commercial banks of Pakistan. The study collects data on bank size and nonperforming loans from the annual reports of commercial banks and lending rates data was collected from the state bank of Pakistan statistical bulletins for the period of 2008-2014 and the data was analyzed through SPSS to examine the relationship between lending rate and nonperforming loans. The study used correlation and regression methods. The study found a significant positive relationship between lending rate and nonperforming loans in commercial banks of Pakistan

Determinant of credit risk of Islamic banks in Pakistan

Future Business Journal, 2024

This study aims to investigate the influence of macroeconomic variables and bank-specific factors on the credit risk of Islamic banking in Pakistan, through the panel data regression tools. The statistical tool which is applied to the research is ordinary least square (OLS) regression model. All the assumption to be fulfilled before using OLS. The secondary data have been taken from four (04) full-fledged Islamic banks in Pakistan, from 2007 to 2021. The focus of the research is to find the impact of macroeconomic variables like Gross domestic product, inflation, and growth in the interest rate and bank-specific factors like size, return on assets, loan loss provision, capital Adequacy ratio, and Asset quality to determine the credit risk (non-performing loans) of Islamic banks in Pakistan. The result of the ordinary least square (OLS) regression model is that loan loss provisions (LLP) have a positive and significant impact on credit risk (CR) and size of bank (S), and Capital adequacy ratio (CAR) have a negative and significant impact on credit risk (CR) of Islamic Bank of Pakistan. Inflation (INF) and Gross domestic product (GDP) have a positive and insignificant impact on credit risk (CR), and growth in interest rate (INT), return on assets (ROA), and asset quality (AQ) has a negative and insignificant impact on Credit risk (CR) of Islamic Bank of Pakistan. Therefore, Islamic banks should carefully examine their specific factors, i.e. LLP, S, and CAR to manage their credit risk, particularly in monitoring loans.

Researchpaper-Crucial-Factors-of-Nonperforming-loans-Evidence-from-Pakistani-Banking-Sector 3

The purpose of conducting this study is to examine the impact of bank's significant determinants on nonperforming loans in the Pakistani banking sector. To accomplish this purpose 11 years (2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010) time series data have been collected which has explained the relationship between non performing loans and several bank's determinants. Quantitative data examined by using Econometric models with the help of Eview 6.0.The study occupy time series data multiple liner regression model. For this purpose, bank's specific indicators such as Gross domestic Product, Weighted average lending rate, loan's maturity time period, Credit deposit ratio, and Capital adequacy ratio are regressed against amount of nonperforming loans to total advances. The study found that GDP growth rate, maturity time period of loans, capital adequacy ratio and credit deposit ratio have negatively associated with NPLs in Pakistan banking sector. While weighted average lending rate has positive relation with NPLs in Pakistan.

An empirical investigation of banking sector performance of Pakistan and Sri Lanka by using CAMELS ratio of framework

Journal of Sustainable Finance & Investment, 2019

This study has been initiated to evaluate the impact of CAMELS Ratio on performance of banking sector in terms of Efficiency. In this study financial ratios, including Capital Adequacy (CA), Asset Quality (AQ), Management Soundness (MS), Earnings, Liquidity (LR) and Sensitivity to market risk (SR) collectively termed as CAMELS ratio, have been applied to evaluate the performance of Pakistani and Sri Lankan banking sector in terms of Efficiency and empirical significance in terms of Panel regression model. Therefore, pooled data of all the banks operating in Pakistan and Sri Lanka from 2008 to 2016 have been employed. The empirical results of GLS, time-fixed and random-fixed effect model estimation after the application of Hausman Test revealed that the random-effects model has been preferred over the fixed-effect model. The empirical analyses also indicate that all of the variables turned significant in their association with the efficiency of the banking sectors of both countries, these are CA, AQ, LR, MS, Return on Equity (ROE) and Return on Assets (ROA) (Earnings), but SR is insignificant but positively associated with the efficiency. However, these results also confirm from the previous studies.

The effect of systematic and unsystematic determinants on loan (financing) to deposit ratio in Indonesian banking

Annals of Management and Organization Research, 2023

This study compares the determinants of liquidity of Islamic Banks (IBs) and Conventional Banks (CBs) based on the loan-to-deposit ratio (LDR) and financing-to-deposit ratio (FDR) between 2016 and 2020. Research Methodology: The data analysis technique used was panel data regression. Results: The results show Economic growth has a positive effect on banking liquidity risk, while non-performing loans (financing) have a negative effect on banking liquidity risk. Limitations: The frame time in this research was 2016-2020 which, before Bank Syariah Mandiri, Bank Rakyat Indonesia (BRI) Syariah, and Bank Negara Indonesia (BNI) Syariah merged into Bank Syariah Indonesia. Contribution: This study can be used as a reference for preparing or perfecting regulations that can be bolder in expanding credit (financing). Commercial banks are expected to be able to manage liquidity so that the liquidity ratio is not less than or exceeds the tolerance limit, especially for CBs, and are used as evaluation material for the performance of IBs, especially CBs. Novelty: Several previous studies conducted separate analyses of the determinants of LDR and FDR in one type of commercial bank and showed contradictory results. This research did not conduct separate analyses in one type of bank but combined the determinants so that they could cause liquidity risk by measuring LDR on BUK and FDR on BUS to discuss these conflicting findings.

The Influence of Internal and External Factors on Bank Lending

Indonesian Journal of Multidisciplinary Science

The purpose of this study was to analyze the influence of internal and external factors on bank lending. Internal factors in this study are CAR, DPK, LDR, and NPL. Meanwhile, the external factors used are GDP and JIBOR. The sample used is PT. Bank Rakyat Indonesia. The data used in this study was obtained from the quarterly financial statements of bank BRI in the 2017-2021 period and analyzed using the least square method. This study found that the DPK and LDR variables partially had a positive and significant effect on lending, the CAR, NPL, and JIBOR variables did not have a significant effect on lending, and the GDP variables had a negative effect on lending. In contrast, simultaneously the CAR, DPK, LDR, NPL, GDP, and JIBOR variables significantly affected the distribution of PT Bank Rakyat Indonesia.

An Empirical Analysis of Financial Performance of Conventional Banking Sector in Islamic Republic of Pakistan

Global Journal of Management and Business Research, 2016

This study is focused on investigating the collision of leverage and liquidity on banks’ profitability of the conventional banking sector of Pakistan. The major indicators of the financial performance of corporate entities are liquidity, leverage and profitability. Two independent variables i.e. leverage and liquidity were taken into consideration to find out the impact on dependent variable, i.e. bank’s profitability. The sample chosen for this certain study is the three famous Pakistani conventional banks. The 10 years data was collected from the “Annual Reports and Accounts” of the 3 banks, i.e. Faysal Bank, Alfalah and MCB. Regression, correlation and tstatistics are used for the examination of hypothesis. The research results states that liquidity is insignificantly positively related with profitability and leverage is significantly negatively correlated with profitability. Focusing on liquidity and profitability will help banks to enhance their growth.

Impact of Bank Specific Factors on Credit Risk: Evidence from Islamic and Conventional Banks of Pakistan

Pakistan Journal of Humanities and Social Sciences

The impact of credit risk (CR) on bank-specific factors (BSF’s) and banks in the event of conventional and Islamic banks of Pakistan is an essential motivation behind this learning. These banks are chosen by their value commitment. The financial explanation investigation of chosen Islamic and conventional banks is contemplated from 2007 to 2017. Relapse examination of non-performing loan (NPL) proportion and Z-Score is utilized to discover the connections of BSF’s on chosen banks. The Islamic banking system consists of (return on equity (ROE), ROA, liquidity, spread and bank size) having a significant relationship toward credit risk. Therefore, the impact of the Z-score is less for Islamic banks relatively compared to conventional banks. The increased risk of bank debt reflects a strong NPL. In this examination bank, certain factors, for instance, efficiency, return on assets (ROA) and bank dimension, have a significant liaison through credit card risk in the conventional selected b...