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題名 Reverse mortgages with long-term care cost coverage: The role of health state granularity in valuing prepayment options
作者 楊曉文
Dai, Tian-Shyr;Liu, Liang-Chih;Tsao, Shang-Hung;Yang, Sharon S.
貢獻者 金融系
關鍵詞 Reverse mortgage; Long-term care; Prepayment option; Multi-state health transition matrix
日期 2026-07
上傳時間 13-Aug-2026 14:03:57 (UTC+8)
摘要 The growing elderly population has intensified interest in financial products such as reverse mortgages (RM) with long-term care (LTC) cost coverage, which provide funding solutions for senior homeowners facing income shortfalls and rising care costs. This study advances existing research on reverse mortgage contracts with long-term care cost coverage (RM_LTC) by systematically examining how the granularity of health state information influences contract valuation, particularly in the presence of prepayment options and market risks. We develop a numerical framework to determine the fair annuity rate of RM_LTC contracts. The framework jointly captures stochastic house prices, interest rates, and multi-state health transition matrices calibrated with real-world disability data. Our results show that finer health state granularity improves the precision of prepayment decisions, increasing the value of embedded options while lowering fair annuities. Conversely, relying on less detailed health information leads to an underestimation of option value and results in higher annuities offered to homeowners. By clarifying these mechanisms, the study underscores the pivotal role of health state granularity in valuing RM_LTC contracts and provides insights into the design of home-equity-based financing for long-term care.
關聯 Insurance: Mathematics and Economics, Vol.129, 103253
資料類型 article
DOI https://doi.org/10.1016/j.insmatheco.2026.103253
dc.contributor 金融系
dc.creator (作者) 楊曉文
dc.creator (作者) Dai, Tian-Shyr;Liu, Liang-Chih;Tsao, Shang-Hung;Yang, Sharon S.
dc.date (日期) 2026-07
dc.date.accessioned 13-Aug-2026 14:03:57 (UTC+8)-
dc.date.available 13-Aug-2026 14:03:57 (UTC+8)-
dc.date.issued (上傳時間) 13-Aug-2026 14:03:57 (UTC+8)-
dc.identifier.uri (URI) https://ah.lib.nccu.edu.tw/item?item_id=184476-
dc.description.abstract (摘要) The growing elderly population has intensified interest in financial products such as reverse mortgages (RM) with long-term care (LTC) cost coverage, which provide funding solutions for senior homeowners facing income shortfalls and rising care costs. This study advances existing research on reverse mortgage contracts with long-term care cost coverage (RM_LTC) by systematically examining how the granularity of health state information influences contract valuation, particularly in the presence of prepayment options and market risks. We develop a numerical framework to determine the fair annuity rate of RM_LTC contracts. The framework jointly captures stochastic house prices, interest rates, and multi-state health transition matrices calibrated with real-world disability data. Our results show that finer health state granularity improves the precision of prepayment decisions, increasing the value of embedded options while lowering fair annuities. Conversely, relying on less detailed health information leads to an underestimation of option value and results in higher annuities offered to homeowners. By clarifying these mechanisms, the study underscores the pivotal role of health state granularity in valuing RM_LTC contracts and provides insights into the design of home-equity-based financing for long-term care.
dc.format.extent 112 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Insurance: Mathematics and Economics, Vol.129, 103253
dc.subject (關鍵詞) Reverse mortgage; Long-term care; Prepayment option; Multi-state health transition matrix
dc.title (題名) Reverse mortgages with long-term care cost coverage: The role of health state granularity in valuing prepayment options
dc.type (資料類型) article
dc.identifier.doi (DOI) 10.1016/j.insmatheco.2026.103253
dc.doi.uri (DOI) https://doi.org/10.1016/j.insmatheco.2026.103253