Machine learning approach to drivers of bank lending:evidence from an emerging economy

The study analyzes the performance of bank-specific characteristics,macroeconomic indicators,and global factors to predict the bank lending in Turkey for the period 2002Q4–2019Q2.The objective of this study is first,to clarify the possible nonlinear and nonparametric relationships between outstanding bank loans and bank-specific,macroeconomic,and global factors.Second,it aims to propose various machine learning algorithms that determine drivers of bank lending and benefits from the advantages of these techniques.The empirical findings indicate favorable evidence that the drivers of bank lending exhibit some nonlinearities.Additionally,partial dependence plots depict that numerous bank-specific characteristics and macroeconomic indicators tend to be important variables that influence bank lending behavior.The study’s findings have some policy implications for bank managers,regulatory authorities,and policymakers.

The impact of bank lending on Palestine economic growth:an econometric analysis of time series data

Banking is an essential sector of Palestine’s economy.More credits provided by banks are considered to have a positive impact on economic growth so that the overall objective of this study is to examine the impact of bank lending on economic growth in Palestine.The study employs the Augmented Dickey-Fuller to test for stationarity in the time series,The Johansen co-integration,Vector Autoregressive Model and Vector Error Correction Model are employed to identify the long-run and short-run dynamics among the variables,and Granger causality test in order to determine the direction of causality.The study finds that a long run relationship exists among the variables and insignificant short run relationship.Also,the study findings show that there is unidirectional causality and runs from GDP to bank lending.The insignificant contribution of bank lending to GDP is attributed to the fact that banks are not highly interested in lending to the production sector of the economy due to the high level of risk.However,the primary empirical evidence reveals that bank lending doesn’t cause economic growth,but economic growth causes bank lending.

Bank Lending and Economic Growth of Chinese Cities

Using a city-level dataset over the period 2004-2006, the present study investigates the relationship between bank lending and the economic growth of Chinese cities. Unlike past studies, we divide bank lending into loans from three types of banks： foreign banks, city banks and other banks. Our findings are threefold. First, the lending of foreign banks exhibits a strong and positive association with the economic growth of Chinese cities. Second, foreign direct investment in the sampled cities enhances the lending effects of foreign banks, but reduces the lending effects of other banks on the economy of Chinese cities. Third, the effects of city competitiveness are similar to those offoreign direct investment; that is, city competitiveness augments the lending effects of foreign banks but reduces the lending effects of other banks.

An Analysis of the Loan Exit Gaming on Relationship Lending in China

This paper analyzes the loan exit on relationship lending in China. We define the relationship lending and analyze the value that both banks and borrowers will obtain in relationship lending, as well as some risks they will face, and then analyze the behaviors of loans exit with game theory. Our results suggest that, in general, relationship lending is helpful for the commercial banks and the enterprises to communicate information and enhance financing efficiency, while in the loan exit gaming, only when the decision of loan exit is made authentic promised by the banks, can the relationship lending effectively exert their positive function, and maintain the health cooperation between borrowers and lenders.

Collateral Monetary Policy,Regional Financial Development,and Nonfinancial Firms'Shadow Banking Activities

The disparity in credit access between large firms and small and medium-sized enterprises contributes to the prevalence of shadow banking activities,where large,nonfinancial firms with high credit ratings have become new financial intermediaries.These activities vary geographically and are afected significantly by collateral monetary policy.This paper examines the effect of collateral monetary policy,its reform,and regional financial development characteristics on large firms'shadow banking activities,with a focus on the medium-term lending facility(MLF),the primary collateral monetary policy instrument in China.The results indicate that the MLF encouraged large firms'shadow banking activity.However,the MLF reform in 2018 mitigated this effect by broadening the range of acceptable collateral.Regional financial development,such as a higher number of bank branches around firms,facilitated large firms'shadow banking activities and amplified the MLF's stimulating effect.In contrast,regional advancements in digital finance and market development limited both shadow banking activities and MLF's impact.