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| Title: | 加權範數最小變異數投資組合之實證應用：以台灣股市為例
The Empirical Study of Weighted-Norm Minimum Variance Portfolios in Taiwan Stock Market |
| Authors: | 莊丹華
Jhuang, Dan-Hua |
| Contributors: | 顏佑銘
Yen, Yu-Min
莊丹華
Jhuang, Dan-Hua |
| Keywords: | 台灣50
最小變異數投資組合
加權懲罰範數
Minimum variance portfolio
Weighted-Norm penalty |
| Date: | 2017 |
| Issue Date: | 2018-03-02 11:38:43 (UTC+8) |
| Abstract: | 資產配置問題與方法一直是投資人所關心之重要課題。藉由不同之建構投資組合的方法尋找資產的最適權重分配，可使得投資人對所持有資產的管理變得更容易且具效率。在這些方法當中，最小變異數投資組合可滿足追求風險極小化之需求。本文亦從此出發，探討一種特殊的最小變異數投資組合：加權範數最小變異數投資組合，並以台灣50作為實證資料，運用十個績效指標來衡量加權範數最小變異數投資組合、其他三種標竿投資組合與指數型基金台灣50之表現。
結果發現本研究所選取之台灣市場資料在運用加權範數最小變異數投資組合下，確實可以打敗其他大部分投資組合以及台灣50基金，並且在以下兩論點與過往文獻之敘述一致：加入報酬限制條件無法改善績效、使用替代參數亦可提供相稱績效。
The asset allocation problem has always been an important issue on which investors concern. It is easier and more efficient for investors to manage their assets through constructing their portfolios in different methods to find the most optimized weight of assets. This essay explores a special portfolio, Weighted-Norm Minimum Variance Portfolio (WNMVP), which can minimize the risks of investment, and use Taiwan stock market data to undertake empirical study.
The research measured the performance of WNMVP, other three benchmark portfolios, and Taiwan Top 50 ETF (0050) by using ten indicators, bringing three findings. First, WNMVP performs better than most of other portfolios do. Second, adding estimated mean return vector into the WNMVP does not improve performances. Third, three alternative norm penalties provide comparable performance as parameters in WNMVP do. The second and third findings are consistence with previous literature. |
| Reference: | 1. 李振婷(2015)。最小變異數投資組合在台灣股市之運用。未出版之碩士論文，國立政治大學，國際經營與貿易學系，台北。
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| Description: | 碩士
國立政治大學
國際經營與貿易學系
104351029 |
| Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0104351029 |
| Data Type: | thesis |
| Appears in Collections: | [國際經營與貿易學系 ] 學位論文
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