Open AccessJAPAN’S EXPERIENCE IN USING ANALYTICS OF BIG DATA TO REDUCE CREDIT RISK IN FINANCING SMALL AND MEDIUM ENTERPRISES
Author(s) -
Sergei Matveevskii
Publication year - 2019
Publication title -
vestnik universiteta
Language(s) - English
Resource type - Journals
eISSN - 2686-8415
pISSN - 1816-4277
DOI - 10.26425/1816-4277-2019-10-182-187
Subject(s) - big data , business , analytics , small and medium sized enterprises , bank credit , credit risk , data analysis , finance , data science , computer science , data mining
The experience of Japanese experts in using big data analytics to reduce credit risk when financing small and medium-sized enterprises has been reviewed. Three multiple regression models were used to predict the likelihood of medium-sized enterprises default. The results of the study have showed, that the bank account model complements the financial model well, which will allow credit organizations to increase lending to medium-sized enterprises. It has been concluded, that the use of big data analytics requires the development of an information model of the subject area, which will provide a significant improvement in lending to medium-sized enterprises in Russia. The experience of the Asian Development Bank in researching the activities of medium-sized enterprises shows the practical possibility of using big data analytics by any development bank.