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  1. NTU Theses and Dissertations Repository
  2. 管理學院
  3. 財務金融學系
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/56786
完整後設資料紀錄
DC 欄位值語言
dc.contributor.advisor曾郁仁
dc.contributor.authorYue-Shan Wuen
dc.contributor.author吳岳珊zh_TW
dc.date.accessioned2021-06-16T05:48:23Z-
dc.date.available2019-08-17
dc.date.copyright2014-08-17
dc.date.issued2014
dc.date.submitted2014-08-09
dc.identifier.citation1.Anthony Street (2011). A house or a home? Finding value in Australian residential property
The Institute of Actuaries of Australia Biennial Convention
10 – 13
2.Adam Wenqiang Shao, Michael Sherris and Katja Hanewald (2012). Equity Release Products Allowing for Individual House Price Risk. 11th Emerging Researchers in Ageing Conference.
3.Alai, Daniel H. and Chen, Hua and Cho, Daniel and Hanewald, Katja and Sherris, Michael(2013 working paper).Developing Equity Release Markets: Risk Analysis for Reverse Mortgages and Home Reversions. North American actuarial Journal, 18 (1). pp. 217-241. ISSN 1092-0277.
4.Bourassa, Steven C.; Cantoni; Eva, Hoesli; Martin (2010). Predicting House Prices with Spatial Dependence: A Comparison of Alternative Methods. Journal of Real Estate Research, Vol. 32 Issue 2, p139.
5.Chen, H., Cox, S. H., & Wang S. S. (2010). Is the Home Equity Conversion Mortgage in the United States sustainable? Evidence from pricing mortgage insurance premiums and non-recourse provisions using the conditional Esscher transform. Insurance: Mathematics and Economics, 46, 371-384.
6.Chen, M., Chang C., Lin S., & Shyu, S. (2010). Estimation of housing price jump risks and their impact on the valuation of mortgage insurance contracts. The Journal of Risk and Insurance, 77(2), 399-422.
7.Chen, H., J. David Cummins (2010). Longevity bond premiums: The extreme value approach and risk cubic pricing. Insurance: Mathematics and Economics, 46, 150–161.
8.David Sun, Michael Sherris(2010). Risk based capital and pricing for reverse mortgages Revisited. The Institute of Actuaries of Australia 5th Financial Services Forum
13 – 14.
9.Daniel Cho, Katja Hanewald , Michael Sherris (2013 working paper). The Risk Management and Payout Design of Reverse Mortgages. School of Risk and Actuarial Studies and Australian Research Council Center of Excellence in Population Ageing Research (CEPAR), University of New South Wales.
10.Ilya A. Lipkovich and Eric P. Smith (2002). Biplot and Singular Value Decomposition Macros for Excel. Research Papers in Economics.
11.Jennifer L. Wanga, Ming-hua Hsieha and Yu-fen Chiu (2011). Using Reverse Mortgages to Hedge Longevity and Financial Risks for Life Insurers: A generalised immunisation approach. The Geneva Papers, 36, 697 –717.
12.Ji, Min; Hardy, Mary; Li, Johnny Siu-hang (2012). A Semi-Markov Multiple State Model for Reverse Mortgage Terminations. Annals of actuarial science : Cambridge Univ. Press, Vol. 6.2012, 2, p. 235-257.
13.Jenny Zheng Wang (2007). Fitting and Forecasting Mortality for Sweden: Applying the Lee-Carter Model. Mathematical Statistics Stockholm University
14.Katja Hanewald, Michael Sherris (2011). House price risk models for banking and insurance Applications. Australian School of Business Research Paper No. 2011ACTL11.
15.Patrick L. Brockett, Ying lu Deng, Richard D. Mac Minn (2010). Longevity / Mortality Risk Modeling and Securities Pricing. McCombs research paper Series No. IROM-05-10.
16.Ray M. Valadez (2010). The housing bubble and the GDP: a correlation perspective. Journal of Case Research in Business & Economics, Vol. 3, p1.
17.Samuel Wills, Michael Sherris (2010). Securitization, structuring and pricing of longevity risk. Insurance: Mathematics and Economics, 46, 173–185.
18.S. Zeytun, A. Gupta (2007). A Comparative Study of the Vasicek and the CIR Model of the Short Rate. Berichte des Fraunhofer ITWM, Nr. 124.
19.Yung-Tsung Lee, Chou-Wen Wang, Hong-Chih Huang (2012). On the valuation of reverse mortgages with regular tenure payments. Insurance: Mathematics and Economics, 51, 430-441.
20.林秋瑾(2004).住宅價格指數編定之研究[M].行政院經建會研究計畫.
21.陳相甫、張金鶚、江穎慧(2011).住宅品質變化對房價影響之研究-以台北都會區新推個案為例. 世界華人不動產學會2011年會.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/56786-
dc.description.abstract本研究以台灣近年試辦逆向房貸制度為背景,主要以承作逆向房貸者之角度就逆向房貸面臨之長壽風險、利率風險以及房屋價格風險,分別以Lee-Carter Model、CIR Model及ARMA-GARCH Model 三種動態隨機模型進行蒙地卡羅模擬並對未來各個隨機變數進行預測.將未來特定時點預測的三種隨機變數,加入本研究設計的逆向房貸模型之中,試算承作逆向房貸者之利潤金額的分配與每期給付年金金額之分配。再者,分別探討利率、平均餘命年數及房屋價格,進行單一變數對逆向房貸承作者之利潤和年金影響。最後再以利率連動房屋價格,更為貼近實際狀況之情境下,研究利率與房價兩種有相關性之風險因子變動時,將如何影響逆向房貸承作者之利潤水準以及給付的年金水準,並且觀察風險因子相互聯動影響時,是否增加利潤及年金的變動敏感程度。zh_TW
dc.description.abstractThe study mainly discusses about implementing the reverse mortgage system in Taiwan recently as the background, and researches on the perspective of the reverse mortgage companies who will encounter several risks, such as the longevity risk, the interest rate risk and the house price risk. Therefore, by respectively applying Lee-Carter model, CIR model and ARMA-GARCH model, three dynamic random variables are able to easily predict in the future period time while the Monte Carlo simulation method are primarily used in this research. Furthermore, three predicted random variables in the specific point of time in the future are able be added to our reverse mortgage model which is designed to calculating the profits of the companies and the amount of the reverse mortgage annuity with the amount allocated for each payment. Moreover, discussing the degree of changes of the interest rates, the average number of years of life expectancy and the house prices, individually affect the profit and annuity payment of reverse mortgage. Finally, using the house prices linked to the interest rates, which seems closer to the actual state of the situation, to discuss the changes of the profit levels of the reverse mortgage and the commitment level annuity payments. During the house prices correlated the interest rate risk factor, we can observe whether both of the sensitivity of profits and annuities increase when the mutual interaction of the two risk factors in the study.en
dc.description.provenanceMade available in DSpace on 2021-06-16T05:48:23Z (GMT). No. of bitstreams: 1
ntu-103-R01723064-1.pdf: 9997158 bytes, checksum: 78609c6c4435c6b7710bc3a530001e76 (MD5)
Previous issue date: 2014
en
dc.description.tableofcontents目 錄
口試委員會審定書……………………………………………………………………………… i
誌謝………………………………………………………………………………………………ii
中文摘要………………………………………………………………………………………...iii
英文摘要…………………………………………………………………………………………iv
第一章 緒論……………………………………………………………………………………1
第一節 研究背景與動機…………………………………………………………1
第二節 研究目的…………………………………………………………………2
第三節 研究架構與流程…………………………………………………………3
第二章 文獻探討………………………………………………………………………………4
第三章 研究方法………………………………………………………………...................5
第一節 研究議題討論……………………………………………………………5
第二節 研究設計流程……………………………………………………………6
第三節 研究樣本、使用之模型說明與假設………………………................7
3.1 死亡率預測模型………………………………7
3.2 利率預測模型……………………………………………………12
3.3 房屋價格預測模型………………………………………………14
第四節 研究方法及說明………………………………21
4.1 房價、利率及死亡率個別獨立風險因子對利潤的影響……....22
4.2 利率連動房價交互風險因子對利潤的影響…………………….25
第四章 研究結果………………………………………………...31
第五章 結論與建議……………………………………………32
參考文獻……………………………………………………………..33
附錄………………………………………………………………………46
dc.language.isozh-TW
dc.title台灣施行逆向房貸之利潤與年金分析zh_TW
dc.titleThe Analysis Of Profits And The Annuity About Implementing Reverse Mortgage In Taiwanen
dc.typeThesis
dc.date.schoolyear102-2
dc.description.degree碩士
dc.contributor.oralexamcommittee王仁宏,黃瑞卿
dc.subject.keyword逆向房貸,利率風險,房屋價格風險,蒙地卡羅模擬,zh_TW
dc.subject.keywordreverse mortgage,the interest rate risk,the house price risk,Monte Carlo simulation method,ARMA-GARCH Model,CIR Model,Lee-Carter Model,en
dc.relation.page46
dc.rights.note有償授權
dc.date.accepted2014-08-11
dc.contributor.author-college管理學院zh_TW
dc.contributor.author-dept財務金融學研究所zh_TW
顯示於系所單位:財務金融學系

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