Publications-Theses

Article View/Open

Publication Export

Google ScholarTM

NCCU Library

Citation Infomation

Related Publications in TAIR

題名 兩階段求解校務基金最適資產配置
作者 張埕語
貢獻者 顏錫銘
張埕語
關鍵詞 資產配置
拔靴法
校務基金
最小要求報酬
日期 2005
上傳時間 14-Sep-2009 09:00:19 (UTC+8)
摘要 本研究摒棄傳統上假設金融資產的報酬率呈現常態分配或t分配,而以定態拔靴法的方式來模擬真實報酬率的分配,配合最小要求報酬限制模型,在既定風險下追求校務基金的報酬極大。本研究使用由下而上的資產配置方式,透過某些篩選機制挑選出優異的十檔股票、四檔債券型基金、三檔公債和定存形成投資組合,並以1998年3月到2006年2月共96筆月資料進行分析,決定最適資產配置。此外為檢驗最適資產配置的結果和績效,分別以不同的最小要求報酬 (0、-5%、-10%)、不同的時間長度(月、季、半年、一年)為調整期間以及考慮實際交易費用與否來進行樣本外測試,做法為從1998年3月開始,每次皆以五年共60個月的資料來對下一年(12個月)資產配置的報酬進行測試,以rolling的方式每次去掉第一個月(一季、半年、一年),再補上新一個月(一季、半年、一年)來測試最佳的資產配置方式。實證結果顯示在考慮交易成本之後,最小要求報酬為0(即不損失)的投資組合其Sharpe ratio皆為負數,代表投資組合的績效不如定存,還不如將錢都放在定存。因此本文將建議使用 為-5%或-10%資產配置方式,同時一個月調整一次投資組合,將可獲得較佳的投資績效。
In this study, we implement the simulation of the real distributions of financial assets by means of the stationary bootstrap method instead of assuming normal distribution or t distribution. With the assistance of minimum required return model, we pursue the maximum profit under finite risk. We use the bottom-up asset allocation and select excellent investments by some criteria to form the portfolio, including four bond funds, ten stocks, three bonds and a time deposit. We use 96 monthly data from March 1998 to February 2006 to decide the best way for asset allocation . Besides, to make sure the asset allocation is practical, we also take transaction costs into account and conduct an out-of-sample test with different minimum required returns (0, -5%, -10%) and different holding periods (a month, a quarter, half a year, a year) to decide the best way for asset allocation. Starting from March 1998, we conduct an out-of-sample test with a solid 60-month data each time to test the return of the following year under specified asset allocation decisions. This is then done repeatedly by using the method of rolling, replacing the 1st-month data (1st-quarter data, 1st-half year data, 1st-year data) with new monthly data (quarterly data, semi-annual data, annual data) to find the best asset allocation. The Empirical result shows that after transaction costs are taken into account, the Sharpe ratios of the portfolio with the equal to zero are negative and the return are worse than the interest rate of the time deposit. Therefore, the asset allocation with equal to -5% or -10% will be recommended. Besides, monthly portfolio adjustment is better.
參考文獻 中文部分
1.江義玄,「投資組合之風險評價:新模擬方法的運用」,國立政治大學企
業管理研究所碩士論文,民國89年6月。
2.李吉元,「風險值限制下最適資產配置」,國立成功大學財務金融研究所
碩士論文,民國92年6月。
3.李松杰,「退休基金管理運用與委託經營之配置策略」,國立政治大學企業
管理研究所碩士論文,民國89年。
4.李進生,「風險管理:風險值理論與運用」,清蔚科技,民國90年。
5.陳信宏,「如何有效提升我國特種基金(含郵儲、勞保、勞退、退撫等基
金)之資金運用效率以計量財務提升特種基金營運績效之研究。民國90年。
6.黃致翔,「最佳投資組合研究-以台股為例」,國立中央大學統計研究所碩
士論文,民國93年。
7.閔志清,「台灣基金資產配置之研究」,國立台灣大學財務金融研究所碩士
論文,民國86年6月。
8.簡佳至,「限制下方風險的資產配置」,國立政治大學金融研究所碩士論
文,民國90年5月。
9.簡明照,「投資組合成份涉險值限制下之資產配置模型-以郵匯局股票基金
之資產管理為例」,銘傳大學金融研究所在職專班,民國90年。
10.蒲建亨,「整合VaR法之衡量與驗證~以台灣金融市場投資組合為例」,
國立政治大學國際貿易研究所碩士論文,民國90年6月。
11.蔡厚毅,「加權下方風險在投資組合上的應用」,國立台北大學經濟學
研究所碩士論文,民國93年6月。
英文部分
1.Campbell,R., R.Huisman, and K.Koedijk.“Optimal
portfolio selection in a Value-at-Risk framwork.”
Journal of Banking and Finance,2001.
2.Efron,B.“Bootstrap Methods:Another Look at the
Jackknife.” The Annals of Statistics,1979.
3.Evans,J.L., and S.H.Archer.“Diversification and the
Reduction of Dispersion: An Empirical Analysis.”The
Journal of Finance,1968.
4.Fama,E.F.“Efficient Capital market:A Review of Theory
And Empirical Work.”Journal of Finance,1969.
5.Jorion,P.“ Risk2: Measuring the Risk in Value at
Risk.” Financial analysts Journal,1996.
6.Kahneman,D., J.L.Knetsch, and R.H.Thaler.“Anomalies:
The Endowment Effect, Loss Aversion, and Status Quo
Bias.” The Journal of Economic Perspectives,1991.
7.Leibowitz,M.L., and S.Kogelman.“Asset Allocation under
Shortfall Constraints.”Journal of Portfolio
Management,1991.
8.Levy,H., and H.M.Markowitz.“Approximating Expected
Utility by a Function of Mean and Variance.”The American
Economic Review,1979.
9.Lucas,A., and P.Klaassen.“Extreme Returns, Downside
Risk, and Optimal Asset Allocation.”Journal of Portfolio
Management,1998.
10.Markowitz,H.M.“Portfolio Selection.”Journal of Finance,
1952.
11.Politis,D.N., and J.P.Romano.“The Stationary
Bootstrap.”Journal of the American Statistical
Association,1994.
12.Roy,A.D.“Safety-first and the holding of assets.”
Econometrics,1952.
13.Sharpe,W.F.“ The Sharpe Ratio.”Journal of Portfolio
Management,1994.
14.Statman,M.“ How Many Stocks Make a Diversified
Portfolio.”Journal of Financial and Quantitative
Analysis,1987.
15.Vazquez-Abad, F.J., and Y.Champoux.“SimSpiders:
Generation of RandomVariables.”
http://www.ee.unimelb.edu.au/staff/fva /SimSpiders/
GenerRV/Methods.html
描述 碩士
國立政治大學
財務管理研究所
93357028
94
資料來源 http://thesis.lib.nccu.edu.tw/record/#G0093357028
資料類型 thesis
dc.contributor.advisor 顏錫銘zh_TW
dc.contributor.author (Authors) 張埕語zh_TW
dc.creator (作者) 張埕語zh_TW
dc.date (日期) 2005en_US
dc.date.accessioned 14-Sep-2009 09:00:19 (UTC+8)-
dc.date.available 14-Sep-2009 09:00:19 (UTC+8)-
dc.date.issued (上傳時間) 14-Sep-2009 09:00:19 (UTC+8)-
dc.identifier (Other Identifiers) G0093357028en_US
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/30983-
dc.description (描述) 碩士zh_TW
dc.description (描述) 國立政治大學zh_TW
dc.description (描述) 財務管理研究所zh_TW
dc.description (描述) 93357028zh_TW
dc.description (描述) 94zh_TW
dc.description.abstract (摘要) 本研究摒棄傳統上假設金融資產的報酬率呈現常態分配或t分配,而以定態拔靴法的方式來模擬真實報酬率的分配,配合最小要求報酬限制模型,在既定風險下追求校務基金的報酬極大。本研究使用由下而上的資產配置方式,透過某些篩選機制挑選出優異的十檔股票、四檔債券型基金、三檔公債和定存形成投資組合,並以1998年3月到2006年2月共96筆月資料進行分析,決定最適資產配置。此外為檢驗最適資產配置的結果和績效,分別以不同的最小要求報酬 (0、-5%、-10%)、不同的時間長度(月、季、半年、一年)為調整期間以及考慮實際交易費用與否來進行樣本外測試,做法為從1998年3月開始,每次皆以五年共60個月的資料來對下一年(12個月)資產配置的報酬進行測試,以rolling的方式每次去掉第一個月(一季、半年、一年),再補上新一個月(一季、半年、一年)來測試最佳的資產配置方式。實證結果顯示在考慮交易成本之後,最小要求報酬為0(即不損失)的投資組合其Sharpe ratio皆為負數,代表投資組合的績效不如定存,還不如將錢都放在定存。因此本文將建議使用 為-5%或-10%資產配置方式,同時一個月調整一次投資組合,將可獲得較佳的投資績效。zh_TW
dc.description.abstract (摘要) In this study, we implement the simulation of the real distributions of financial assets by means of the stationary bootstrap method instead of assuming normal distribution or t distribution. With the assistance of minimum required return model, we pursue the maximum profit under finite risk. We use the bottom-up asset allocation and select excellent investments by some criteria to form the portfolio, including four bond funds, ten stocks, three bonds and a time deposit. We use 96 monthly data from March 1998 to February 2006 to decide the best way for asset allocation . Besides, to make sure the asset allocation is practical, we also take transaction costs into account and conduct an out-of-sample test with different minimum required returns (0, -5%, -10%) and different holding periods (a month, a quarter, half a year, a year) to decide the best way for asset allocation. Starting from March 1998, we conduct an out-of-sample test with a solid 60-month data each time to test the return of the following year under specified asset allocation decisions. This is then done repeatedly by using the method of rolling, replacing the 1st-month data (1st-quarter data, 1st-half year data, 1st-year data) with new monthly data (quarterly data, semi-annual data, annual data) to find the best asset allocation. The Empirical result shows that after transaction costs are taken into account, the Sharpe ratios of the portfolio with the equal to zero are negative and the return are worse than the interest rate of the time deposit. Therefore, the asset allocation with equal to -5% or -10% will be recommended. Besides, monthly portfolio adjustment is better.en_US
dc.description.tableofcontents 第一章 序論.........................................1
      第一節 研究動機與目的............................1
      第二節 研究架構.................................3
     
     第二章 文獻探討.....................................4
      第一節 Markowitz的平均數/變異數模型..............4
      第二節 風險值理論...............................7
      第三節 古典拔靴法...............................10
      第四節 Sharpe ratio............................11
     
     第三章 研究方法與模型...............................13
      第一節 定態拔靴法...............................13
      第二節 最小要求報酬限制模型......................15
      第三節 兩階段求解最適資產配置....................19
      第四節 樣本外測試...............................21
     
     第四章 實證分析.....................................24
      第一節 前言-校務基金投資的原則...................24
      第二節 資料選取與來源............................25
      第三節 求解最適資產配置..........................34
      第四節 樣本外測試...............................40
     
     第五章 研究結論與建議................................56
      第一節 研究結論.................................56
      第二節 研究建議與限制............................57
     
     參考文獻............................................59
     中文部分............................................59
     英文部分............................................60
zh_TW
dc.language.iso en_US-
dc.source.uri (資料來源) http://thesis.lib.nccu.edu.tw/record/#G0093357028en_US
dc.subject (關鍵詞) 資產配置zh_TW
dc.subject (關鍵詞) 拔靴法zh_TW
dc.subject (關鍵詞) 校務基金zh_TW
dc.subject (關鍵詞) 最小要求報酬zh_TW
dc.title (題名) 兩階段求解校務基金最適資產配置zh_TW
dc.type (資料類型) thesisen
dc.relation.reference (參考文獻) 中文部分zh_TW
dc.relation.reference (參考文獻) 1.江義玄,「投資組合之風險評價:新模擬方法的運用」,國立政治大學企zh_TW
dc.relation.reference (參考文獻) 業管理研究所碩士論文,民國89年6月。zh_TW
dc.relation.reference (參考文獻) 2.李吉元,「風險值限制下最適資產配置」,國立成功大學財務金融研究所zh_TW
dc.relation.reference (參考文獻) 碩士論文,民國92年6月。zh_TW
dc.relation.reference (參考文獻) 3.李松杰,「退休基金管理運用與委託經營之配置策略」,國立政治大學企業zh_TW
dc.relation.reference (參考文獻) 管理研究所碩士論文,民國89年。zh_TW
dc.relation.reference (參考文獻) 4.李進生,「風險管理:風險值理論與運用」,清蔚科技,民國90年。zh_TW
dc.relation.reference (參考文獻) 5.陳信宏,「如何有效提升我國特種基金(含郵儲、勞保、勞退、退撫等基zh_TW
dc.relation.reference (參考文獻) 金)之資金運用效率以計量財務提升特種基金營運績效之研究。民國90年。zh_TW
dc.relation.reference (參考文獻) 6.黃致翔,「最佳投資組合研究-以台股為例」,國立中央大學統計研究所碩zh_TW
dc.relation.reference (參考文獻) 士論文,民國93年。zh_TW
dc.relation.reference (參考文獻) 7.閔志清,「台灣基金資產配置之研究」,國立台灣大學財務金融研究所碩士zh_TW
dc.relation.reference (參考文獻) 論文,民國86年6月。zh_TW
dc.relation.reference (參考文獻) 8.簡佳至,「限制下方風險的資產配置」,國立政治大學金融研究所碩士論zh_TW
dc.relation.reference (參考文獻) 文,民國90年5月。zh_TW
dc.relation.reference (參考文獻) 9.簡明照,「投資組合成份涉險值限制下之資產配置模型-以郵匯局股票基金zh_TW
dc.relation.reference (參考文獻) 之資產管理為例」,銘傳大學金融研究所在職專班,民國90年。zh_TW
dc.relation.reference (參考文獻) 10.蒲建亨,「整合VaR法之衡量與驗證~以台灣金融市場投資組合為例」,zh_TW
dc.relation.reference (參考文獻) 國立政治大學國際貿易研究所碩士論文,民國90年6月。zh_TW
dc.relation.reference (參考文獻) 11.蔡厚毅,「加權下方風險在投資組合上的應用」,國立台北大學經濟學zh_TW
dc.relation.reference (參考文獻) 研究所碩士論文,民國93年6月。zh_TW
dc.relation.reference (參考文獻) 英文部分zh_TW
dc.relation.reference (參考文獻) 1.Campbell,R., R.Huisman, and K.Koedijk.“Optimalzh_TW
dc.relation.reference (參考文獻) portfolio selection in a Value-at-Risk framwork.”zh_TW
dc.relation.reference (參考文獻) Journal of Banking and Finance,2001.zh_TW
dc.relation.reference (參考文獻) 2.Efron,B.“Bootstrap Methods:Another Look at thezh_TW
dc.relation.reference (參考文獻) Jackknife.” The Annals of Statistics,1979.zh_TW
dc.relation.reference (參考文獻) 3.Evans,J.L., and S.H.Archer.“Diversification and thezh_TW
dc.relation.reference (參考文獻) Reduction of Dispersion: An Empirical Analysis.”Thezh_TW
dc.relation.reference (參考文獻) Journal of Finance,1968.zh_TW
dc.relation.reference (參考文獻) 4.Fama,E.F.“Efficient Capital market:A Review of Theoryzh_TW
dc.relation.reference (參考文獻) And Empirical Work.”Journal of Finance,1969.zh_TW
dc.relation.reference (參考文獻) 5.Jorion,P.“ Risk2: Measuring the Risk in Value atzh_TW
dc.relation.reference (參考文獻) Risk.” Financial analysts Journal,1996.zh_TW
dc.relation.reference (參考文獻) 6.Kahneman,D., J.L.Knetsch, and R.H.Thaler.“Anomalies:zh_TW
dc.relation.reference (參考文獻) The Endowment Effect, Loss Aversion, and Status Quozh_TW
dc.relation.reference (參考文獻) Bias.” The Journal of Economic Perspectives,1991.zh_TW
dc.relation.reference (參考文獻) 7.Leibowitz,M.L., and S.Kogelman.“Asset Allocation underzh_TW
dc.relation.reference (參考文獻) Shortfall Constraints.”Journal of Portfoliozh_TW
dc.relation.reference (參考文獻) Management,1991.zh_TW
dc.relation.reference (參考文獻) 8.Levy,H., and H.M.Markowitz.“Approximating Expectedzh_TW
dc.relation.reference (參考文獻) Utility by a Function of Mean and Variance.”The Americanzh_TW
dc.relation.reference (參考文獻) Economic Review,1979.zh_TW
dc.relation.reference (參考文獻) 9.Lucas,A., and P.Klaassen.“Extreme Returns, Downsidezh_TW
dc.relation.reference (參考文獻) Risk, and Optimal Asset Allocation.”Journal of Portfoliozh_TW
dc.relation.reference (參考文獻) Management,1998.zh_TW
dc.relation.reference (參考文獻) 10.Markowitz,H.M.“Portfolio Selection.”Journal of Finance,zh_TW
dc.relation.reference (參考文獻) 1952.zh_TW
dc.relation.reference (參考文獻) 11.Politis,D.N., and J.P.Romano.“The Stationaryzh_TW
dc.relation.reference (參考文獻) Bootstrap.”Journal of the American Statisticalzh_TW
dc.relation.reference (參考文獻) Association,1994.zh_TW
dc.relation.reference (參考文獻) 12.Roy,A.D.“Safety-first and the holding of assets.”zh_TW
dc.relation.reference (參考文獻) Econometrics,1952.zh_TW
dc.relation.reference (參考文獻) 13.Sharpe,W.F.“ The Sharpe Ratio.”Journal of Portfoliozh_TW
dc.relation.reference (參考文獻) Management,1994.zh_TW
dc.relation.reference (參考文獻) 14.Statman,M.“ How Many Stocks Make a Diversifiedzh_TW
dc.relation.reference (參考文獻) Portfolio.”Journal of Financial and Quantitativezh_TW
dc.relation.reference (參考文獻) Analysis,1987.zh_TW
dc.relation.reference (參考文獻) 15.Vazquez-Abad, F.J., and Y.Champoux.“SimSpiders:zh_TW
dc.relation.reference (參考文獻) Generation of RandomVariables.”zh_TW
dc.relation.reference (參考文獻) http://www.ee.unimelb.edu.au/staff/fva /SimSpiders/zh_TW
dc.relation.reference (參考文獻) GenerRV/Methods.htmlzh_TW