Mathematical Models for Calculation of the Parameters of the Bank and the Borrower in the Mortgage Lending

Sergey Ovanesyan, Irina Starostacheva
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引用次数: 2

Abstract

The article covers the consideration of the issues of analysis and development of mathematical models to improve the efficiency of the mortgage lending system. The relevance of the study is due to the fact that the current mechanisms of mortgage lending in Russia do not correspond to global trends: by interest rates level; in terms of the volume of loans issued and other conditions. However, it is one of the main tools that allows to improve the population’s living conditions and, as a result, to release the socio-economic tension caused by this factor, as well as to attract additional input in the investment and construction sector, which in modern conditions is one of the most important problems. As a result of the research carried out, the article offers a mathematical model for calculating the parameters of the bank and the borrower, in order to form the most acceptable conditions for the loan. In the mathematical model, such parameters of the borrower and the lender as the price of the apartment, the percentage of the down payment from its price, the mortgage loan rate, the total debt and the loan term, as well as the share of the borrower's income allocated to monthly payments are interconnected. This model will allow the bank to determine the most suitable loan conditions regarding the payment amount, term, and available credit limit, and the borrower to calculate the parameters of the loan in order to make an informed decision on attracting it. All this, in the end, will allow banks to reduce the level of risk on issued mortgage loans, and the borrower — confidence in the ability to pay off the mortgage loan.
抵押贷款中银行和借款人参数计算的数学模型
文章从分析和开发数学模型的角度考虑了提高抵押贷款系统效率的问题。这项研究的相关性是由于俄罗斯目前的抵押贷款机制不符合全球趋势:按利率水平;在贷款发放量等条件方面。但是,它是一种主要工具,可以改善人民的生活条件,从而缓解这一因素造成的社会经济紧张局势,并吸引投资和建筑部门的额外投入,在现代条件下,这是最重要的问题之一。根据研究结果,本文提出了一个计算银行和借款人参数的数学模型,以形成最可接受的贷款条件。在数学模型中,借款人和贷款人的参数,如公寓的价格,首付款占价格的百分比,抵押贷款利率,总债务和贷款期限,以及借款人分配给每月付款的收入份额等,都是相互关联的。该模型将允许银行确定关于付款金额、期限和可用信用额度的最合适的贷款条件,并允许借款人计算贷款参数,以便做出明智的决定。所有这一切最终将使银行降低已发行抵押贷款的风险水平,并使借款人对偿还抵押贷款的能力有信心。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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