Issue |
SHS Web Conf.
Volume 93, 2021
3rd International Scientific Conference on New Industrialization and Digitalization (NID 2020)
|
|
---|---|---|
Article Number | 02010 | |
Number of page(s) | 6 | |
Section | Financial and Legal Mechanisms (Instruments) of Industrialization and Digitalization | |
DOI | https://doi.org/10.1051/shsconf/20219302010 | |
Published online | 12 January 2021 |
Household Incomes and Bank Residential Mortgage in Russia
1 University of Tyumen, 625003 Tyumen, Russia
2 Ural Federal University, 620002 Ekaterinburg, Russia
* Corresponding author: o.s.miroshnichenko@utmn.ru
The influence of the incomes of the population subject to changes on bank mortgage lending was investigated using the methods of correlation and regression analysis. Three approaches to income volatility as an indicator of their volatility have been implemented: variability within certain time periods through an assessment of the coefficients of variation during the year, between periods through an assessment of the average annual income growth rates, and the variability of the distribution between income recipients through inequality indicators. According to the research results, indicators of bank residential mortgage are more strongly associated with variations in nominal income than in real one; the low level of overdue mortgage debt in the Russian banking sector is determined by a qualitative assessment of borrowers' capabilities in accordance with their income; an increase in income volatility is accompanied by a decrease in the share of overdue mortgage debt. The stability of the population's income contributes to an increase in the number and total volume of bank residential mortgage. As a result of econometric modeling, the maximum significant effect of the unemployment rate on the share of overdue mortgage debt has been established.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.