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題名 死亡率模型建構及退休金資產配置之應用
Modeling Mortality and Application of Asset Allocation for Pension Fund
作者 莊偉柏
貢獻者 黃泓智
莊偉柏
關鍵詞 死亡率模型
長壽債券
退休金
資產配置
日期 2013
上傳時間 1-Oct-2014 13:34:05 (UTC+8)
摘要 退休基金制度由確定給付制轉換成確定提撥制,使退休基金之投資風險改由勞工承擔。而退休基金的多寡則完全視退休基金投資績效的好壞而定,如何有效地管理退休基金儼然成為一項重要議題。本文延續Yang, Huang, and Lee(2006)之研究,改採用Mitchell et al.(2013)隨機死亡率模型,除了將股票與零息債券作為退休基金之兩項投資標的,再增加一項長壽債券作為退休基金之投資標的。透過極大化勞工之預期效用函數,探究確定提撥制下退休基金之最適資產配置策略以處理長壽風險。
參考文獻 1. Bellman, R., 1957, “Dynamic programming, ”Princeton University Press.
2. Daniel Mitchell, Patrick Brockett, Rafael Mendoza-Arriaga, Kumar Muthuraman, 2013, “Modeling and forecasting mortality rates,” Insurance: Mathematics and Economics.
3. Dimitris Karlis, 2000, “An EM type algorithm for maximum likelihood estimation of the normal–inverse Gaussian distribution,” Statistics & Probability Letters 57 43–52.
4. John C. Cox; Jonathan E. Ingersoll, Jr.; Stephen A. Ross, 1985, “A Theory of the Term Structure of Interest Rates,” Econometrica, Vol. 53, No. 2, 385-408.
5. Markowitz, H.M., 1952, “Portfolio Selection Journal of Finance, ” March, p77-91.
6. Merton, R.C., 1971, “Optimal consumption and portfolio rules in a continuous-time model,” Journal of Economic Theory, 3, 373-413. Erratum: ebenda , 6 (1973), 213-214.
7. Ronald D. Lee and Lawrence R. Carter, 1992, “Modeling and Forecasting U.S. Mortality,” Journal of the American Statistical Association, Vol. 87, No 419, pp. 659-671.
8. Sharon S. Yang, Hong-Chih Huang, and Yung-Tsung Lee, 2006 ,“Longevity Risk and Optimal Asset Allocation for a Defined Contribution Pension Plan”.
9. Sharon S. Yang, Hong-Chih Huang, and Yung-Tsung Lee, “An Asset Liability Framework for Managing Longevity Risk in Defined Contribution Pension Plans”
10. Valeri Zakamouline, Steen Koekebakker, 2009, “Portfolio performance evaluation with generalized Sharpe ratios:Beyond the mean and variance,” Journal of Banking & Finance.
11. Vigna, E., and Haberman, S., 2001, “Optimal Investment Strategy for defined
contribution pension schemes.Insurance mathematics and Economics,” 28,
p233-262.
12. 廖思孟,2011年,「長壽風險定價-以台灣地區死亡率為例」,國立清華大學計量財務金融系碩士論文。
13. 黃泓智,楊曉文,林鴻諭,2007年,高齡社會的來臨:為2025 年的台灣社會規劃之整合研究-高齡社會之財富適足性與退休財務規劃之研究成果報告。
描述 碩士
國立政治大學
風險管理與保險研究所
101358031
102
資料來源 http://thesis.lib.nccu.edu.tw/record/#G1013580311
資料類型 thesis
dc.contributor.advisor 黃泓智zh_TW
dc.contributor.author (Authors) 莊偉柏zh_TW
dc.creator (作者) 莊偉柏zh_TW
dc.date (日期) 2013en_US
dc.date.accessioned 1-Oct-2014 13:34:05 (UTC+8)-
dc.date.available 1-Oct-2014 13:34:05 (UTC+8)-
dc.date.issued (上傳時間) 1-Oct-2014 13:34:05 (UTC+8)-
dc.identifier (Other Identifiers) G1013580311en_US
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/70272-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 風險管理與保險研究所zh_TW
dc.description (描述) 101358031zh_TW
dc.description (描述) 102zh_TW
dc.description.abstract (摘要) 退休基金制度由確定給付制轉換成確定提撥制,使退休基金之投資風險改由勞工承擔。而退休基金的多寡則完全視退休基金投資績效的好壞而定,如何有效地管理退休基金儼然成為一項重要議題。本文延續Yang, Huang, and Lee(2006)之研究,改採用Mitchell et al.(2013)隨機死亡率模型,除了將股票與零息債券作為退休基金之兩項投資標的,再增加一項長壽債券作為退休基金之投資標的。透過極大化勞工之預期效用函數,探究確定提撥制下退休基金之最適資產配置策略以處理長壽風險。zh_TW
dc.description.tableofcontents 第一章 緒論......................1
第一節 研究動機與目的..............1
第二節 文獻回顧...................3
第三節 研究架構...................4
第二章 確定提撥制的最適資產配置......6
第一節 利率模型...................6
第二節 投資模型...................7
第三節 退休基金累積階段與使用階段....9
第四節 勞工的終身財富效用..........11
第五節 最適化目標函數建構..........12
第三章 建構長壽風險...............15
第一節 死亡率模型.................15
第二節 死亡率模型配適結果分析.......17
第三節 參數估計與預測..............19
第四章 數值結果分析...............21
第一節 參數與情境設定.............21
第二節 最適資產配置策略............23
第五章 結論與未來研究方向..........24
第一節 結論.....................24
第二節 未來研究方向...............25
參考文獻.........................26
zh_TW
dc.language.iso en_US-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G1013580311en_US
dc.subject (關鍵詞) 死亡率模型zh_TW
dc.subject (關鍵詞) 長壽債券zh_TW
dc.subject (關鍵詞) 退休金zh_TW
dc.subject (關鍵詞) 資產配置zh_TW
dc.title (題名) 死亡率模型建構及退休金資產配置之應用zh_TW
dc.title (題名) Modeling Mortality and Application of Asset Allocation for Pension Funden_US
dc.type (資料類型) thesisen
dc.relation.reference (參考文獻) 1. Bellman, R., 1957, “Dynamic programming, ”Princeton University Press.
2. Daniel Mitchell, Patrick Brockett, Rafael Mendoza-Arriaga, Kumar Muthuraman, 2013, “Modeling and forecasting mortality rates,” Insurance: Mathematics and Economics.
3. Dimitris Karlis, 2000, “An EM type algorithm for maximum likelihood estimation of the normal–inverse Gaussian distribution,” Statistics & Probability Letters 57 43–52.
4. John C. Cox; Jonathan E. Ingersoll, Jr.; Stephen A. Ross, 1985, “A Theory of the Term Structure of Interest Rates,” Econometrica, Vol. 53, No. 2, 385-408.
5. Markowitz, H.M., 1952, “Portfolio Selection Journal of Finance, ” March, p77-91.
6. Merton, R.C., 1971, “Optimal consumption and portfolio rules in a continuous-time model,” Journal of Economic Theory, 3, 373-413. Erratum: ebenda , 6 (1973), 213-214.
7. Ronald D. Lee and Lawrence R. Carter, 1992, “Modeling and Forecasting U.S. Mortality,” Journal of the American Statistical Association, Vol. 87, No 419, pp. 659-671.
8. Sharon S. Yang, Hong-Chih Huang, and Yung-Tsung Lee, 2006 ,“Longevity Risk and Optimal Asset Allocation for a Defined Contribution Pension Plan”.
9. Sharon S. Yang, Hong-Chih Huang, and Yung-Tsung Lee, “An Asset Liability Framework for Managing Longevity Risk in Defined Contribution Pension Plans”
10. Valeri Zakamouline, Steen Koekebakker, 2009, “Portfolio performance evaluation with generalized Sharpe ratios:Beyond the mean and variance,” Journal of Banking & Finance.
11. Vigna, E., and Haberman, S., 2001, “Optimal Investment Strategy for defined
contribution pension schemes.Insurance mathematics and Economics,” 28,
p233-262.
12. 廖思孟,2011年,「長壽風險定價-以台灣地區死亡率為例」,國立清華大學計量財務金融系碩士論文。
13. 黃泓智,楊曉文,林鴻諭,2007年,高齡社會的來臨:為2025 年的台灣社會規劃之整合研究-高齡社會之財富適足性與退休財務規劃之研究成果報告。
zh_TW