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博碩士論文 etd-0528116-134632 詳細資訊
Title page for etd-0528116-134632
論文名稱
Title
ETF 投資組合建構組合之研究
Construction of ETF Portfolio in Taiwan Stock Market
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
61
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2016-06-23
繳交日期
Date of Submission
2016-06-28
關鍵字
Keywords
選股策略、最適化模型、主成分分析、主動型ETF、ETF、績效回測
Active ETFs, Principal component analysis, Optimization model, ETF, Back-test, Investment strategy
統計
Statistics
本論文已被瀏覽 5823 次,被下載 150
The thesis/dissertation has been browsed 5823 times, has been downloaded 150 times.
中文摘要
近年全球資本市場發展日趨國際化,資金自由流通,投資人開始進行全球化資產佈局,除可分散單一市場之風險外,同時也是為追求其他市場更高的獲利成長。ETF市場近年來蓬勃發展,資產規模庫速擴張,其商品概念簡單、成本較低、交易便利,有利投資人投資國外市場,進行全球投資佈局。
傳統ETF屬於被動式管理,以追求複製指數的表現為主,而近年來興起的主動型ETF其特色在於具有主動選股的機制,使投資組合在一定的風險控制下獲得比標竿指數更高的報酬。
本研究將建構以追蹤台灣加權指數為主的主動型ETF,目標希望能達到在5% 的下方年化追蹤誤差下,能優於標竿指數至少1% 的年化報酬率,達到資訊比率0.3以上,並控制平均費用率在1.5%以內以及平均週轉率50%以內。建構過程以規模為基礎分為大中小市值,利用主成分分析配合資訊比率縮小大市值的股資組合,再利用獲利型分數挑選中小市值的股票;權重配置的方式則是利用四種最適化的方式,在加入實際操作的限制,比較後選出績效最好的權重組合。
實證結果顯示選股策略搭配資產配置的概念能得到至少高於標竿指數3%-6%的超額報酬,且控制6%-7%的下方年化追蹤誤差、資訊比率能達到0.5以上、平均費用率在1.5%以內。此外,本研究分析四種最適化方法,發現績效差異不大,其中以目標追求報酬的最適化方是最不穩定,以控制VaR或是beta的效果是相對較好的。
Abstract
With the increasing development of the global capital market, investors began to do allocation of global assetsin recent years. In this way, not only could risks be dispersed in the single market but investors could pursue higher profits in other markets at the same time. There comes a rapid expansion in ETF market for some reasons. One is that its commodityis simple, cost- low and trading-convenient. And the other one is that ETFs enable investors to invest in foreign markets.
Traditional ETFs belong to passive management, in pursuit of the performance of the index replication .In recent years, active ETFs, with the mechanism of stock selection, become popular. Under the amount of risk control , portfolio gain higher than the benchmark index returns.
This research is to construct an active ETF with the aim of tracking TAIEX. Our investment objectives were set to achieve the annual tracking error5% below , the annual excess return at least 1%, information ratio more than 0.3, and to control the average expense rate less than 1.5% and the average turnover rate less than 50%. The process of construction is below:Divided the stocks into different size : large cap medium cap and small cap. Using principal component analysis with information ratio dimensionreduced large-capstocks and select the small-cap stocks by the profitabilityscores. Weight is decided by four kinds of quadratic programming and joining some new constraints. After the comparison in four kinds of quadratic programming , we selectthe weight with the best performance.
Empirical results show that the strategy of stock selectionand the asset allocation concept can get at least 3% - 6% of excess returns higherthan the benchmark index, and control the downside tracking error between 6%-7%, information ratio can reach above 0.5, and the average expense rate is less than 1.5%. In addition, this study discusses four
kinds of quadratic programming and find that that there is no difference between the performance. Jorison method is the most unstable and the method to control the VaR or beta is relatively good.
目次 Table of Contents
第一章緒論 1
第一節研究動機 1
第二節研究目的 2
第三節研究流程 3
第二章文獻探討 4
第一節指數股票型證券投資信託基金 4
第二節指數型基金建構方法 5
第三節增值型指數基金 7
第四節投資組合的規模 7
第五節投資組合的權重配置 8
第六節質量因子與超額報酬之異常現象 9
第七節主成分分析應用在金融市場 10
第三章研究方法 11
第一節標竿指數 11
第二節資料來源 11
第三節自製標竿指數 11
第四節 ETF之建構與調整 12
第五節績效評估指標 21
第四章實證結果分析 23
第一節指數 23
第二節選股 24
第三節權重配置與績效 31
第五章:結論與後續研究建議 38
參考文獻 40
參考文獻 References
中文部分
1. 黃冠文(2001),「加值指數型基金之探討-期貨加上現金的加值方法」,國立政治大學財務管理所碩士論文。
2. 陳志民(2001),「選股衍生性策略超額報酬之研究,國立政治大學企業管理所碩士論文。
英文部分
1. Alexander, G. J., Baptista, A. M., 2008, “Active Portfolio Management with Benchmarking: Adding a Value-At-Risk Constraint.” Journal of Economic Dynamics & Control, Vol.32, no. 3, 779–820.
2. Andrews, C., D. Ford & K. Mallison (1986),"The design of index funds and
alternative replication," The Investment Analysis, October, 16-23.
3. Asness, C. S., Frazzini, A., & Pedersen, L. H. (2014). Quality minus junk.
Available at SSRN 2312432.
4. Baker, Malcolm and Jeff Wurgler (2002), “Market timing and capital structure,” Journal of Finance 57, 1-32.
5. Black, F., M.C. Jensen, and M. Scholes (1972), “The Capital Asset Pricing Model: Some Empirical Tests.” In Michael C. Jensen (ed.), Studies in the Theory of Capital Markets, New York, pp. 79-121.
6. Campbell, John Y. and Robert J. Shiller (1988), “The dividend-price ratio and expectations of future dividends and discount factors,” Review of Financial Studies 1, 195–228.
7. Campbell, John Y., Jens Hilscher, and Jan Szilagyi (2008), “In search of distress risk”, Journal of Finance 63, 2899–2939.
8. Cohen, Randolph B., Christopher Polk, and Tuomo Vuolteenaho (2009), “The price is (almost) right,” The Journal of Finance, 64, 2739-2782.
9. Collins, B. M. and F. J. Fabozzi (1989), "Portfolio and Investment Management," Probus Publishing Company, 183-200
10. Collins, B. M. and F. J. Fabozzi (1990),"Considerations in selecting small
capitalization-benchmark," Financial Analysts Journal, 46(1), 40-46.
11. Damato, K. (1997), "Funds haven't done well by indexing small stocks," The Wall StreetJournal, C1.
12. Domian, D. L., D. L. Louton, and M. D. Racine (2003). Portfolio diversification forlong holding periods: How many stocks do investors need? Studies in Economicsand Finance 21, 40-64.
13. Evans, J. L. and S. H. Archer (1968). Diversification and the reduction of dispersion: An empirical analysis. Journal of Finance 23, 761-767.
14. Statman, M. (2004). The diversification puzzle. Financial Analysts Journal 60,
44-53.
15. Feeney, G. J. and D. D. Hester (1967). Risk Aversion and Portfolio Choice. New
York: Wiley.
16. George, Thomas J., and C.Y. Hwang (2010), “A Resolution of the Distress Risk and Leverage Puzzles in the Cross Section of Stock Returns,” Journal of Financial Economics, 96, 56-79.
17. Grinold, R. C. and R. N. Kahn (1995), "Active portfolio management," Chicago:
Probus Publishing Company.
18. Jorion, P. (2002), "Enhanced index funds and tracking error optimization,"
Working paper, University of California at Irvine.
19. Jorion, P. (2003), "Portfolio optimization with tracking-error constraints,"
Financial Analysts Journal, 59 (5), 70-82.
20. Markowitz, H. (1952). Portfolio Selection. Journal of Finance 7, 77-91.
21. Jacob, N. L. (1974). A Limited-Diversification Portfolio Selection Model for The
Small Investor. Journal of Finance 29, 837-857.
22. Kim, D.-H. and H. Jeong (2005). Systematic analysis of group identification in
stocks markets. Physical Review E 72, 046133.
23. Yang, L., Rea, W., & Rea, A. (2015). Stock Selection with Principal Component Analysis (No. 15/03).
24. Meade, N. and G. R. Salkin (1989), "Index funds construction and performance measurement," Journal of the Operational Research Society, 40, 871-879.
25. Patrizia Stucchi (2015),"A unified approach to portfolio selection in a tracking errorframework with additional constraints on risk," The Quarterly Review of Economics and Finance 56 (2015) 165–174
26. Richardson, Scott, Richard G. Sloan, Mark Soliman, and Irem Tuna (2005), “Accrual Reliability, Earnings Persistence and Stock Prices,” Journal of Accounting and Economics 39(3), 437-485.
27. Roll, R. (1992), "A mean-variance analysis of tracking error," Journal of
Portfolio Management, 18, 13-22.
28. Rudd, A. (1980), "Optimal selection of passive portfolios," Financial
Management, 4, 57-66.
29. Rudolf, M., H. Wolter and H. Zimmermann (1999), "A linear model for tracking error minimization," Journal of Banking andFinance, 23, 85-103.
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