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題名 Realistic Pension Funding: A Stochastic Approach
作者 張士傑
Chang,Shih-Chieh
關鍵詞 contributions;control theory;dynamic programming;performance measure
日期 1999
上傳時間 8-Dec-2008 11:09:01 (UTC+8)
摘要 The process funding pension plans is viewed as a dynamic control process. Two performance measures are introduced to evaluate the effectiveness of plan contributions: the cost-induced performance measure (CIPM) and the ratio-induced performance measure (RIPM). A dynamic programming approach is used to determining the optimal contributions with the objective of minimizing the performance measure. The methodology developed is applied to a sample of members of Taiwan`s Public Employees Pension Plan (Tai-PERS). We show that RIPM produces more stable results than those using CIPM.
關聯 Journal of Actuarial Practice,8,5-42
資料類型 article
dc.creator (作者) 張士傑zh_TW
dc.creator (作者) Chang,Shih-Chieh-
dc.date (日期) 1999en_US
dc.date.accessioned 8-Dec-2008 11:09:01 (UTC+8)-
dc.date.available 8-Dec-2008 11:09:01 (UTC+8)-
dc.date.issued (上傳時間) 8-Dec-2008 11:09:01 (UTC+8)-
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/13003-
dc.description.abstract (摘要) The process funding pension plans is viewed as a dynamic control process. Two performance measures are introduced to evaluate the effectiveness of plan contributions: the cost-induced performance measure (CIPM) and the ratio-induced performance measure (RIPM). A dynamic programming approach is used to determining the optimal contributions with the objective of minimizing the performance measure. The methodology developed is applied to a sample of members of Taiwan`s Public Employees Pension Plan (Tai-PERS). We show that RIPM produces more stable results than those using CIPM.-
dc.format application/en_US
dc.language enen_US
dc.language en-USen_US
dc.language.iso en_US-
dc.relation (關聯) Journal of Actuarial Practice,8,5-42en_US
dc.subject (關鍵詞) contributions;control theory;dynamic programming;performance measure-
dc.title (題名) Realistic Pension Funding: A Stochastic Approachen_US
dc.type (資料類型) articleen