JAPAN’S EXPERIENCE IN USING ANALYTICS OF BIG DATA TO REDUCE CREDIT RISK IN FINANCING SMALL AND MEDIUM ENTERPRISES

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, th...

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Autor principal:	S. Matveevskii
Formato:	article
Lenguaje:	RU
Publicado:	Publishing House of the State University of Management 2019
Materias:	big data analytics multiple regression small and medium enterprises development bank probability of default credit rating Sociology (General) HM401-1281 Economics as a science HB71-74
Acceso en línea:	https://doaj.org/article/4e48b954b9c74f3aaf9340d1559e166c
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spelling	oai:doaj.org-article:4e48b954b9c74f3aaf9340d1559e166c2021-12-03T07:43:30ZJAPAN’S EXPERIENCE IN USING ANALYTICS OF BIG DATA TO REDUCE CREDIT RISK IN FINANCING SMALL AND MEDIUM ENTERPRISES1816-42772686-841510.26425/1816-4277-2019-10-182-187https://doaj.org/article/4e48b954b9c74f3aaf9340d1559e166c2019-11-01T00:00:00Zhttps://vestnik.guu.ru/jour/article/view/1806https://doaj.org/toc/1816-4277https://doaj.org/toc/2686-8415The 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.S. MatveevskiiPublishing House of the State University of Managementarticlebig data analyticsmultiple regressionsmall and medium enterprisesdevelopment bankprobability of defaultcredit ratingSociology (General)HM401-1281Economics as a scienceHB71-74RUВестник университета, Vol 0, Iss 10, Pp 182-187 (2019)
institution	DOAJ
collection	DOAJ
language	RU
topic	big data analytics multiple regression small and medium enterprises development bank probability of default credit rating Sociology (General) HM401-1281 Economics as a science HB71-74
spellingShingle	big data analytics multiple regression small and medium enterprises development bank probability of default credit rating Sociology (General) HM401-1281 Economics as a science HB71-74 S. Matveevskii JAPAN’S EXPERIENCE IN USING ANALYTICS OF BIG DATA TO REDUCE CREDIT RISK IN FINANCING SMALL AND MEDIUM ENTERPRISES
description	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.
format	article
author	S. Matveevskii
author_facet	S. Matveevskii
author_sort	S. Matveevskii
title	JAPAN’S EXPERIENCE IN USING ANALYTICS OF BIG DATA TO REDUCE CREDIT RISK IN FINANCING SMALL AND MEDIUM ENTERPRISES
title_short	JAPAN’S EXPERIENCE IN USING ANALYTICS OF BIG DATA TO REDUCE CREDIT RISK IN FINANCING SMALL AND MEDIUM ENTERPRISES
title_full	JAPAN’S EXPERIENCE IN USING ANALYTICS OF BIG DATA TO REDUCE CREDIT RISK IN FINANCING SMALL AND MEDIUM ENTERPRISES
title_fullStr	JAPAN’S EXPERIENCE IN USING ANALYTICS OF BIG DATA TO REDUCE CREDIT RISK IN FINANCING SMALL AND MEDIUM ENTERPRISES
title_full_unstemmed	JAPAN’S EXPERIENCE IN USING ANALYTICS OF BIG DATA TO REDUCE CREDIT RISK IN FINANCING SMALL AND MEDIUM ENTERPRISES
title_sort	japan’s experience in using analytics of big data to reduce credit risk in financing small and medium enterprises
publisher	Publishing House of the State University of Management
publishDate	2019
url	https://doaj.org/article/4e48b954b9c74f3aaf9340d1559e166c
work_keys_str_mv	AT smatveevskii japansexperienceinusinganalyticsofbigdatatoreducecreditriskinfinancingsmallandmediumenterprises
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JAPAN’S EXPERIENCE IN USING ANALYTICS OF BIG DATA TO REDUCE CREDIT RISK IN FINANCING SMALL AND MEDIUM ENTERPRISES

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