| dc.contributor.advisor | 陳威光<br>江彌修 | zh_TW |
| dc.contributor.advisor | <br> | en_US |
| dc.contributor.author (Authors) | 林郁棻 | zh_TW |
| dc.creator (作者) | 林郁棻 | zh_TW |
| dc.date (日期) | 2003 | en_US |
| dc.date.accessioned | 14-Sep-2009 09:26:48 (UTC+8) | - |
| dc.date.available | 14-Sep-2009 09:26:48 (UTC+8) | - |
| dc.date.issued (上傳時間) | 14-Sep-2009 09:26:48 (UTC+8) | - |
| dc.identifier (Other Identifiers) | G0091352009 | en_US |
| dc.identifier.uri (URI) | https://nccur.lib.nccu.edu.tw/handle/140.119/31156 | - |
| dc.description (描述) | 碩士 | zh_TW |
| dc.description (描述) | 國立政治大學 | zh_TW |
| dc.description (描述) | 金融研究所 | zh_TW |
| dc.description (描述) | 91352009 | zh_TW |
| dc.description (描述) | 92 | zh_TW |
| dc.description.abstract (摘要) | 近年來，投資理財已經成為全民運動，昔日的定存族早已不復見，投資人在進行資產配置時，除了希望能有固定的保障本金及配息之外，更希望能在市場走勢看好時同時享有增值的利益，而投資組合保險便能滿足這些投資人的需求，部分的投資者及基金經理人，也開始運用投資組合保險進行資產配置。 為了更進一步瞭解投資組合保險策略實際上的運作及其特性，本研究利用蒙地卡羅模擬法，針對不同市場（多頭、空頭、盤整）以及資產間相關係數不同下（高度正相關、低度正相關），模擬多支股票所形成的投資組合，探討「複製性賣權策略（SPO）」、「固定比例投資組合保險策略（CPPI）」、「時間不變性投資組合保險策略（TIPP）」、「固定比例策略（CM）」、「買入持有策略（BH）」在不同市場走勢下相對的績效，並找出在不同市場下最適合各種策略的調整法則。此外，針對CPPI與TIPP策略提出動態調整風險參數m值的概念（MCPPI、MTIPP策略），試著改進此兩種策略在傳統上風險參數固定不動的缺點。在實證部分，除了驗證MCPPI與MTIPP的績效是否真的較佳，並檢驗蒙地卡羅模擬中模擬適合不同策略的調整方式的結果是否正確。 經由模擬可發現：多頭時期，SPO與CPPI策略以每日調整為佳，TIPP及CM策略以5%落差調整為佳，而且SPO策略的平均報酬最高；盤整時期，SPO、CPPI、TIPP策略以5%落差調整較好，CM策略以1%落差調整較好，期末報酬以TIPP策略為佳；空頭時期，SPO與TIPP策略以每日調整為佳，CPPI策略以1%落差調整較好，CM策略以5%落差調整較佳，期末報酬也以TIPP策略為優。經由實證可以證明，不論市場走勢為何，MCPPI、MTIPP策略的績效均比傳統的CPPI、TIPP來的好，顯示動態調整風險參數確實能增加投資組合的績效；此外，若能正確預測市場走勢，並依照蒙地卡羅模擬的結果選擇正確的調整法則，將能有效的提升投資組合保險策略的績效。 | zh_TW |
| dc.description.abstract (摘要) | In order to find out the characteristic and operation of portfolio insurance strategies, this study makes an extensive Monte Carlo simulation comparison of five portfolio insurance strategies (Synthetic put option (SPO), Constant Proportion Portfolio Insurance (CPPI), Time-Invariant Portfolio Protection (TIPP), Constant Mix (CM), Buy and Hold (BH) ) . For each strategy, some measures (average return, standard deviation, protection error and opportunity cost) are calculated to compare its performance. Besides, these strategies are compared in different market situations (bull, bear, no-trend markets) and with different asset correlation (highly correlated, low correlated), taking into account transaction costs and the price limit. The Monte Carlo simulations show the optimal rebalancing discipline of different portfolio insurance strategies in different markets; moreover, via the simulation process, we can find out a dominant role of TIPP strategies in bear and no-trend markets and a preference for SPO strategies in bull markets. These results are independent of the asset correlation. In historical simulations, we bring out an extended method for CPPI and TIPP strategies, called MCPPI and MTIPP strategies, which increase the risk multiplier (m) when market price goes up and decrease the risk multiplier when market price goes down. Comparing the portfolio insurance strategies mentioned above (SPO, CPPI, TIPP, CM, BH, MCPPI, MTIPP) ,we can find out that MCPPI and MTIPP strategies can dominate CPPI and TIPP strategies in all market ; besides, if we can use the optimal rebalance discipline correctly, it will effectively enhance the performance of portfolio insurance strategies. Although in historical and Monte Carlo simulations, we can’t conclude any strategy which is dominant in all market situations, but we can summarize that SPO strategy can dominate other strategies in bull market, and MTIPP and TIPP strategies can dominate other strategies in bear and no-trend market. | en_US |
| dc.description.tableofcontents | 目錄□.......................................................ii 表次 .......................................................iii 圖次 .......................................................iv 第壹章□緒論 第一節□膍s動機□..........................................1 第二節□膍s目的□..........................................2 第三節□蚺戭[構□..........................................2 第貳章□文獻回顧 第一節□賳窶捰X保險的理論基礎□............................4 第二節□暰m探討□..........................................9 第參章□研究方法 第一節□賳窶捰X設計........................................14 第二節□膍s假設............................................19 第三節□桴膋k則□.........................................19 第四節□Z效衡量指標........................................20 第五節□膍s流程............................................21 第肆章□X地卡羅模擬 第一節□U種投資組合保險策略的特性..........................22 第二節□ㄕP市場下投資組合保險策略的績效與合適動態調整法則的選取............................................................29 第伍章□篜珛痕G分析 第一節□篘蝟]計............................................40 第二節□ㄕP投資組合保險策略的績效..........................40 第三節 本章結論............................................47 第陸章 結論與建議 第一節 結論................................................51 第二節 後續研究............................................52 附錄一........................................................53 參考文獻□...................................................57 | zh_TW |
| dc.language.iso | en_US | - |
| dc.source.uri (資料來源) | http://thesis.lib.nccu.edu.tw/record/#G0091352009 | en_US |
| dc.subject (關鍵詞) | 投資組合保險 | zh_TW |
| dc.subject (關鍵詞) | 多資產蒙地卡羅模擬 | zh_TW |
| dc.subject (關鍵詞) | 動態調整風險參數 | zh_TW |
| dc.title (題名) | 投資組合保險策略之延伸及應用 | zh_TW |
| dc.type (資料類型) | thesis | en |
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