Income-contingent repayment scheme for non-performing mortgage loans in Hungary

Author:

Berlinger Edina1,Walter György2

Affiliation:

1. Department of Finance at the Corvinus University of Budapest, Chair of the Finance (sub)Committee of the Hungarian Academy of Sciences, dizhi, Hungary

2. Finance (sub)Committee of the Hungarian Academy of Sciences, Department of Finance at the Corvinus University of Budapest, Hungary

Abstract

At the end of 2014, more than 23% of the foreign currency denominated mortgage portfolio in Hungary was overdue; about 20% was classified as non-performing and the tendency is worsening. In this paper, we propose a solution to effectively reduce the credit and systemic risk inherent to this portfolio – the proposed model can be applied to other mortgage portfolios in trouble as well. The main element of our proposal is income-contingent repayment complemented with effective incentives to motivate debtors to repay their debt. We demonstrate that the proposed scheme is attractive for both the debtors and the lenders; therefore, contrary to some recent policy measures, in this case there is no need for direct state intervention to force modifications to the existing legal contracts. In order to evaluate the possible effects, we simulated a realistic population of borrowers with different age, debt, loan-to-value, and income. Then we calculated the expected income paths, the repayments of the borrowers as well as the profit of the lenders on the basis of the non-performing FX mortgage portfolio. The results underpin that the proposed scheme creates significant value added and, most importantly, that it can effectively reduce the vulnerability of the entire economy to future shocks.

Publisher

Akademiai Kiado Zrt.

Subject

Economics and Econometrics

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3