The main aim of the research was to determine the key factors determining the level of credit risk of individual … customer's history of cooperation with other financial institutions. For the research gathered data from 1000 credit … applications submitted by individual customers when applying for a credit in five different cooperative banks were used for the …

Within bank activities, which is normally defined as the joint exercise of savings collection and credit supply, risk …-taking is natural, as in many human activities. Among risks related to credit intermediation, credit risk assumes particular …

the Central Credit Information System (KHR) and companies' financial statements, a database was created that covers all … the SMEs with loan contract, thus we were able to examine credit risk based on a uniquely large group of enterprises. In … the macroeconomic environment on credit risk also proved to be important in the fitting of our estimates. …

This paper examined a set of over two thousand crypto-coins observed between 2015 and 2020 to estimate their credit … literature to professional practice; alternative forecasting models, ranging from credit scoring models to machine learning and … credit-scoring models and machine-learning methods using lagged trading volumes and online searches were better choices for …

screen out high credit risk and potentially increase access to credit for small business owners in Peru. We use … entrepreneurs who were offered a loan based on the traditional credit-scoring method versus the EFL tool. We find that the … entrepreneurs - i.e., those with a credit history. For unbanked entrepreneurs - i.e., those without a credit history - using the EFL …