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| Title: | 利用smart beta策略與主成分分析建構台灣股票市場資產配置
he Asset Allocation According to Smart Beta and Principal Components Analysis in Taiwan Stock Market |
| Authors: | 魏巧昀 |
| Contributors: | 黃泓智
魏巧昀 |
| Keywords: | 主成分分析
資產配置
股價淨值比
Smart Beta
Sharpe Ratio
ASKSR |
| Date: | 2016 |
| Issue Date: | 2016-07-20 17:17:39 (UTC+8) |
| Abstract: | 本研究以近15年台灣股票市場所有上市、上櫃、下市、下櫃股票為樣本，利用每季公布之財務報表的資料，市值、現金流量與股價比率、本益比、資產報酬率、負債比率、報酬率之標準差等指標作為篩選股票依據。
首先，先用財務報表的資料建構出Smart Beta Factor，結合主成分分析將各股評分，作為股票篩選之指標。第一步驟先把市值較低、成交金額過低的股票刪除，並依照不同指標篩選出五倍符合投資組合之股票數，接著運用主成分分析評分後的指標將各公司排序，選出分數高的作為投資組合，以達到分散風險的目標。
本文所討論之Smart Beta Factors有Size、Quality、Value、Momentum、Volatility，並將各Smart beta factor結合主成分分析，計算分數以選出優良股票，並以等權重方式進行資產配置，希望能建構出最有利的投資組合，使得獲利穩定成長。
In this study, using nearly 15 years quarterly financial statement of stock market in Taiwan as samples. Not only use the financial statement to construct the smart beta factor, also use the principle components analysis to calculate the scores of all the stocks, then choose the stock by the scores.
First, delete the stocks of low market value and the stocks of low turnover rate. Second, selected five times the number of the investment portfolio by different indicators, then elect the number of investment portfolio stocks by the highest scores calculated by principal component analysis. To achieve the goal of risk diversification.
The smart beta factors discussed in the paper are Size, Quality, Value, Momentum, Volatility, also the multiple factor. To combine the method of principal component analysis, calculate the score to select the stocks, in order to contract the portfolio which has the best performance, and can make stable growth of profits. |
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| Description: | 碩士
國立政治大學
風險管理與保險研究所
103358011 |
| Source URI: | http://thesis.lib.nccu.edu.tw/record/#G0103358011 |
| Data Type: | thesis |
| Appears in Collections: | [風險管理與保險學系] 學位論文
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