學術產出-Periodical Articles

Article View/Open

Publication Export

Google ScholarTM

政大圖書館

Citation Infomation

題名 Generating effective defined-contribution pension plan using simulation
作者 Yu, Tzu-Yi ; Huang, Hong-Chih ; Chen, Chun-Lung ; Lin, Qun-Ting
黃泓智
貢獻者 風管系
關鍵詞 Defined-contribution pension; Evolution strategies; Multi-period asset allocation; Simulation optimization
日期 2012.02
上傳時間 6-Mar-2014 16:23:17 (UTC+8)
摘要 This paper presents an optimization approach to analyze the problems of portfolio selection for long-term investments, taking into consideration the specific target replacement ratio for defined-contribution (DC) pension scheme; the purpose is to generate an effective multi-period asset allocation that reaches an amount matching the target liability at retirement date and reduce the downside risk of the investment. A multi-period asset liability simulation model was used to generate 4000 asset return predictions, and an evolutionary algorithm, evolution strategies, was incorporated into the model to generate multi-period asset allocations under four conditions, considering different weights for measuring the importance of matching the target liability and different periods of downside risk measurement. Computational results showed that the evolutionary algorithm, evolution strategies, is a very robust and effective approach to generate promising asset allocations under all the four cases. In addition, computational results showed that the promising asset allocations revealed valuable information, which is able to help fund managers or investors achieve a higher average investment return or a lower level of volatility under different conditions.
關聯 Expert Systems with Applications, 39(3), 2684-2689
資料類型 article
DOI http://dx.doi.org/http://dx.doi.org/10.1016/j.eswa.2011.08.124
dc.contributor 風管系en_US
dc.creator (作者) Yu, Tzu-Yi ; Huang, Hong-Chih ; Chen, Chun-Lung ; Lin, Qun-Tingen_US
dc.creator (作者) 黃泓智zh_TW
dc.date (日期) 2012.02en_US
dc.date.accessioned 6-Mar-2014 16:23:17 (UTC+8)-
dc.date.available 6-Mar-2014 16:23:17 (UTC+8)-
dc.date.issued (上傳時間) 6-Mar-2014 16:23:17 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/64476-
dc.description.abstract (摘要) This paper presents an optimization approach to analyze the problems of portfolio selection for long-term investments, taking into consideration the specific target replacement ratio for defined-contribution (DC) pension scheme; the purpose is to generate an effective multi-period asset allocation that reaches an amount matching the target liability at retirement date and reduce the downside risk of the investment. A multi-period asset liability simulation model was used to generate 4000 asset return predictions, and an evolutionary algorithm, evolution strategies, was incorporated into the model to generate multi-period asset allocations under four conditions, considering different weights for measuring the importance of matching the target liability and different periods of downside risk measurement. Computational results showed that the evolutionary algorithm, evolution strategies, is a very robust and effective approach to generate promising asset allocations under all the four cases. In addition, computational results showed that the promising asset allocations revealed valuable information, which is able to help fund managers or investors achieve a higher average investment return or a lower level of volatility under different conditions.en_US
dc.format.extent 222260 bytes-
dc.format.mimetype application/pdf-
dc.language.iso en_US-
dc.relation (關聯) Expert Systems with Applications, 39(3), 2684-2689en_US
dc.subject (關鍵詞) Defined-contribution pension; Evolution strategies; Multi-period asset allocation; Simulation optimizationen_US
dc.title (題名) Generating effective defined-contribution pension plan using simulationen_US
dc.type (資料類型) articleen
dc.identifier.doi (DOI) 10.1016/j.eswa.2011.08.124en_US
dc.doi.uri (DOI) http://dx.doi.org/http://dx.doi.org/10.1016/j.eswa.2011.08.124en_US