Structural analysis of reverse mortgages in Taiwan

This study investigated the framework of reverse mortgage (RM) programs in Taiwan, with a particular emphasis on the perspectives of both debtors and creditors. Employing the Lee–Carter model, the research estimated mortality rates in Taiwan while utilizing the theoretical framework to analyze various aspects of RM. House prices were assessed using the house price index as a foundational metric for estimating prices, along with lump-sum loanable amounts and RM considerations. Empirical analysis was conducted on debtors’ loans and incomes and financial institutions’ perspectives. The study delved into parameters such as maximum loanable amounts and income replacement ratios for debtors based on demographic factors such as sex, age, and occupation. Furthermore, the structure of RM programs was scrutinized from the viewpoint of financial institutions, considering factors such as rental income, remaining house value, creditor insurance protection, premium expenses, and creditor profitability. A series of simulations were performed to gauge the effects of different variables on the outcomes. The normal distribution of the house price index (HPI), as verified through the Anderson-Darling (AD) test and Kolmogorov–Smirnov (KS) test, bolstered the theoretical findings. This study’s primary contribution lies in its comprehensive exploration of the structure and advantages of RMs from the dual perspectives of debtors and creditors, a departure from insights from previous research predominantly focused on financial institutions. This research can aid debtors and creditors in evaluating RM programs and making informed decisions regarding asset allocation, thereby facilitating the selection of more suitable programs tailored to debtor characteristics.

Authors

Institutions

Publication Details

Journal
Humanities and Social Sciences Communications
Published
2024-09-13
DOI
https://doi.org/10.1057/s41599-024-03641-x
Citations
1
Primary Topic
Insurance, Mortality, Demography, Risk Management
Type
article
Field-Weighted Citation Impact
1.71
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Structural analysis of reverse mortgages in Taiwan

Hong-Ming Chen, Jing-Yi Chen
1 citations
Humanities and Social Sciences Communications
Insurance, Mortality, Demography, Risk Management
1.71
article

Structural analysis of reverse mortgages in Taiwan

Hong-Ming Chen, Jing-Yi Chen
article en
1 citations

Abstract

This study investigated the framework of reverse mortgage (RM) programs in Taiwan, with a particular emphasis on the perspectives of both debtors and creditors. Employing the Lee–Carter model, the research estimated mortality rates in Taiwan while utilizing the theoretical framework to analyze various aspects of RM. House prices were assessed using the house price index as a foundational metric for estimating prices, along with lump-sum loanable amounts and RM considerations. Empirical analysis was conducted on debtors’ loans and incomes and financial institutions’ perspectives. The study delved into parameters such as maximum loanable amounts and income replacement ratios for debtors based on demographic factors such as sex, age, and occupation. Furthermore, the structure of RM programs was scrutinized from the viewpoint of financial institutions, considering factors such as rental income, remaining house value, creditor insurance protection, premium expenses, and creditor profitability. A series of simulations were performed to gauge the effects of different variables on the outcomes. The normal distribution of the house price index (HPI), as verified through the Anderson-Darling (AD) test and Kolmogorov–Smirnov (KS) test, bolstered the theoretical findings. This study’s primary contribution lies in its comprehensive exploration of the structure and advantages of RMs from the dual perspectives of debtors and creditors, a departure from insights from previous research predominantly focused on financial institutions. This research can aid debtors and creditors in evaluating RM programs and making informed decisions regarding asset allocation, thereby facilitating the selection of more suitable programs tailored to debtor characteristics.

Humanities and Social Sciences CommunicationsVol. 11(1)
National Kaohsiung First University of Science and Technology (TW), University of Science and Technology (YE), Tunghai University (TW), National Kaohsiung University of Science and Technology (TW), National Kaohsiung University of Applied Sciences (TW)
Decent work and economic growth
Openalex Percentile: Top 14%
Insurance, Mortality, Demography, Risk Management
1.71
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.