Econometric analysis of the mortgage loans dependence on per capita income

dc.contributor.author	Samerkhanova A.
dc.contributor.author	Kadochnikova E.
dc.date.accessioned	2018-09-18T20:28:51Z
dc.date.available	2018-09-18T20:28:51Z
dc.date.issued	2015
dc.identifier.issn	1911-2017
dc.identifier.uri	https://dspace.kpfu.ru/xmlui/handle/net/140336
dc.description.abstract	© 2015, Asian Social Science. All rights reserved. The article makes the econometric modeling of the size of the mortgage loan in order to identify the most important prognostic factors. The leading role of mortgage lending in the domestic banking services market is emphasized. Using Excel, Gretl software the authors are trying to prove the predominant influence of household income on the dynamics of the mortgage market. The article presents the methodical approach to measuring the dependence of mortgage loans on per-capita income. The results of empirical evaluations have confirmed their practical feasibility in the management of the credit portfolio.
dc.relation.ispartofseries	Asian Social Science
dc.subject	Heteroscedasticity
dc.subject	Least square method
dc.subject	Mortgage lending
dc.subject	Nonlinear regression
dc.subject	Per capita income
dc.title	Econometric analysis of the mortgage loans dependence on per capita income
dc.type	Article
dc.relation.ispartofseries-issue	11
dc.relation.ispartofseries-volume	11
dc.collection	Публикации сотрудников КФУ
dc.relation.startpage	55
dc.source.id	SCOPUS19112017-2015-11-11-SID84929338747

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Публикации сотрудников КФУ Scopus [24551]
Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.