바로가기메뉴

본문 바로가기 주메뉴 바로가기

ACOMS+ 및 학술지 리포지터리 설명회

  • 한국과학기술정보연구원(KISTI) 서울분원 대회의실(별관 3층)
  • 2024년 07월 03일(수) 13:30
사전등록 바로가기
 

logo

E-ISSN : 2288-2766

논문 상세

이전 다음
논문 투고

Vol.5 No.2
Citation Share

The credit market of Russia: the assessment of condition, the development of tendency

The credit market of Russia: the assessment of condition, the development of tendency

동아시아경상학회지 / East Asian Journal of Business Economics, (E)2288-2766
2017, v.5 no.2, pp.12-37
https://doi.org/10.20498/eajbe.2017.5.2.12
Elena Nikolaevna Vyborova (economic sciences, professor Russia, Kazan, Tatarstan)
Elena, N. V. (2017). The credit market of Russia: the assessment of condition, the development of tendency. 동아시아경상학회지, 5(2), 12-37, https://doi.org/10.20498/eajbe.2017.5.2.12
  • 다운로드 수
  • 조회수
PDF 다운로드

Abstract

The analysis of results of the market of loans granted to legal entities, the physical persons are provided in the work. The assessment of condition of industry segments of the market of the credits of legal entities is carried. The results of assessment of the market of the credits of physical persons by types of the granted loans are provided. The correlation and regression analysis on the industry segments of crediting of legal entities is carried out. The dynamics of development of debt on the industry segments of crediting is determined. The results show that: Hypothesis 1. The amount of the issued credits to the legal entities steadily in-creases on all industries of economy. Communication between the industry segments of market very high. Hypothesis 2. Crediting of physical persons is characterized by relative stability. The structure of overdue debt repeats the structure of the issued credits to the physical persons.

keywords
the analysis of credit market, the credit market, the segments of the credit market, crediting of legal entities, crediting of physical persons, the industry segments of market, the types of loan.

참고문헌

1.

Ayvazyan, S. A. (1975). The algorithms of the multidimensional statistical analysis and their application. Moscow, 6(1), 220-239.

2.

Vyborova, E. N. (2014). Peculiarities of macroeconomic financial analysis the present stage of development: the evaluation of the main indicators of the monetary and credit regulation. Journal of Finance and credit, 15 (2), 535-591.

3.

Dovba, A. S. (1970). Application of regression models for forecasting of economic indicators. Moscow, 2(2), 237-267.

4.

Dreyper, N. (1987). Applied regression analysis, Moscow: Finance and statistics, Part 1,2, 846.

5.

Dubrov, A. M. (1985). Application of mathematical methods in the economic researches. Moscow, 16(2), 99-111.

6.

Maslov, P. P. (1971). The statistics and econometrics. Moscow, 3(3), 287-304.

7.

Ryabushkin, B. T. (1991). Application of statistical methods in the economic analysis and forecasting. Journal of Finance and credit, 2(1), 60-75.

동아시아경상학회지

논문 투고 OA 정책