Review of Economic Studies, 2007 Summary: A bank determines whether potential borrowers are creditworthy, that is, whether they meet the bank's credit or lending standards. In making this determination, each bank is in competition with other banks, but without knowing the competitor banks' credit standards.
G. B. Gorton, Ping He
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Banking regulation and bank credit delivery in selected Sub-Saharan African countries: Symmetric and asymmetric causal linkages [PDF]
HeliyonThis study aimed to empirically determine the symmetric and asymmetric causal relationship between banking regulation and bank credit delivery using a context of 23 sub-Saharan African countries from 1995 to 2017.
Retselisitsoe I. Thamae +1 more
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Poverty in Ukraine: Realities of Today and Forecasts for Overcoming [PDF]
Problemi Ekonomiki, 2022 The purpose of the article is to study the problems of poverty in Ukraine and substantiate ways to overcome it. Analyzing, systematizing and generalizing the reporting data of the State Statistics Service of Ukraine, the State Employment Service of ...
Luchyk Svitlana D., Luchyk Marharyta V.
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, 2009 Banks' lending standards at times seem too stringent and at other times too lax. The pattern seems to indicate that banks lend more easily in good times but tighten credit standards in lean times. But such a lending pattern may also be attributable to changes in borrowers' default risk over the business cycle or changes in the demand for loans, which ...
Mitchell Berlin
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Job creation and investment in imperfect financial and labor markets [PDF]
Applied Economic Analysis, 2022 Purpose – This paper aims to weigh the restrictions to job creation imposed by labor market imperfections with respect to financial market imperfections.
Silvio Rendon
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Investigation of exchange rate fluctuations on economic indicators and its management mechanism [PDF]
New Applied Studies in Management, Economics & Accounting, 2022 Exchange rate fluctuations are of particular importance in macroeconomic issues due to their impact on other economic variables. Agriculture, oil, industry and services are the most important variables that are affected by currency fluctuations.
Nezamali Vafaei
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Combined Feature Selection Scheme for Banking Modeling
Финансы: теория и практика, 2023 Machine learning methods have been successful in various aspects of bank lending. Banks have accumulated huge amounts of data about borrowers over the years of application.
S. V. Afanasyev +3 more
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Effect of exchange rate uncertainty on bilateral trade performance in SAARC countries: a gravity model analysis [PDF]
International Trade, Politics and Development, 2020 Purpose – Exchange rate uncertainty leads to an indecisive environment for imports and exports that would condense international trade, foreign direct investment, trade earnings, trade volumes, economic growth and welfare.
Banna Banik, Chandan Kumar Roy
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The Impact Of FDI Inflow On The Environment: A Case Of The Baltic-Black Sea Region Countries [PDF]
SocioEconomic Challenges, 2020 The article summarizes the arguments within the scientific challenge on improving approaches to estimate the environmental impact of FDI inflow on the economy.
Adisa Đonlagić, Bogdan A. Moskalenko
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Predicting CoVID-19 community mortality risk using machine learning and development of an online prognostic tool [PDF]
PeerJ, 2020 Background The recent pandemic of CoVID-19 has emerged as a threat to global health security. There are very few prognostic models on CoVID-19 using machine learning.
Ashis Kumar Das +2 more
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