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題名:臺灣交易所交易基金之報酬與風險分析
書刊名:財金論文叢刊
作者:劉任昌 引用關係葉馬可簡靜裕
作者(外文):Liu, Jen-changYeats, MarkChien, Ching-yu
出版日期:2018
卷期:28
頁次:頁12-27
主題關鍵詞:指數型基金交易所交易基金臺灣50效率前緣Index fundETFTaiwan 50Portfolio frontier
原始連結:連回原系統網址new window
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  • 被引用次數被引用次數:期刊(1) 博士論文(0) 專書(0) 專書論文(0)
  • 排除自我引用排除自我引用:1
  • 共同引用共同引用:5
  • 點閱點閱:14
最新的美國基金市場統計顯示,標普500 交易所交易基金(ETF)的資產規模最高,其次是先鋒500 指數型基金。有鑑於此,本研究回顧基金市場發展之歷史,闡述指數型基金與ETF 之區別,然後針對台灣最早發行的七檔ETF 進行分析。研究發現:富邦科技的累積報酬最高,台灣50 次之,元大電子第三;就夏普指數進行比較,台灣50 最高,富邦科技次之,元大電子第三。打敗股價報酬指數者,僅有台灣50 與富邦科技。此外,台灣50 對市場報酬指數的追蹤效果最佳;透過七檔ETF 建構投資效率前緣,發現市場報酬指數位置偏離效率前緣,台灣50 與富邦科技則呈現較高的投資效率性。
According to the latest statistics for the U.S. market, iShare SPDY is the largest mutual fund and Vanguard 500 Index is the second in terms of net assets. In face of this trend, this article reviews the history of mutual fund markets, illustrates the difference between index funds and ETFs, and analyzes the seven earliest ETFs in Taiwan. Fubon Technology achieved the greatest cumulative return, followed by Taiwan 50 and Yuanta Electronic. In terms of Sharpe ratios, the Taiwan 50 ranks first, Fubon Technology is second, and Yuanta Electronic comes third. Only Taiwan 50 and Fubon Technology beat the market return index. Moreover, among the seven EFTs, the Taiwan 50 is the most effective at tracking the market return index. After constructing the portfolio frontier based on the seven ETFs, we found the market return index deviates from the portfolio frontier substantially, and only the Taiwan 50 and Fubon Technology outperform the market return index.
期刊論文
1.吳明哲、邱國欽、黃佩柔、許寶文(20111200)。臺灣指數股票型基金之績效表現與超額報酬分析。財金論文叢刊,15,70-79。new window  延伸查詢new window
2.Jorion, P.(2003)。Portfolio Optimization with Tracking-Error Constraints。Financial Analysts Journal,59(5),70-82。  new window
3.Roll, R.(1992)。A Mean/Variance Analysis of Tracking Error。The Journal of Portfolio Management,18(4),13-22。  new window
4.Merton, Robert C.(1972)。An Analytic Derivation of the Efficient Portfolio Frontier。Journal of Financial and Quantitative Analysis,7(4),1851-1872。  new window
5.Cronqvist, H.、Siegel, S.、Yu, F.(2015)。Value versus Growth Investing: Why Do Different Investors have Different Styles?。Journal of Financial Economics,117(2),333-349。  new window
6.李存修、尤亭歡(20150300)。臺灣、香港、中國大陸三地ETF追蹤誤差之研究。兩岸金融季刊,3(1),1-22。new window  延伸查詢new window
7.李建興、彭琪祿、施仁貴(20050900)。以限制追蹤誤差方式建構增長型指數基金:以臺灣50指數為例。金融風險管理季刊,1(3),1-26。  延伸查詢new window
8.林容竹(20070900)。臺灣指數股票型基金 (ETFs) 訂價效率性之實證研究。永豐金融季刊,38,97-111。  延伸查詢new window
9.劉任昌(2015)。投資台灣50 ETF的優勢與時機。理財周刊,794,102-103。  延伸查詢new window
10.劉任昌(2015)。台灣中型一百值得投資嗎?。理財周刊,796,98-99。  延伸查詢new window
11.劉任昌(2015)。台灣50 與台灣高股息之比較。理財周刊,800,100-101。  延伸查詢new window
12.Markowitz, Harry M.(1952)。Portfolio Selection。The Journal of Finance,7(1),77-91。  new window
13.林靖中、江明憲、詹司如、林昭賢(20060700)。臺灣50 ETF對指數成分股流動性的影響。經濟與管理論叢,2(2),187-205。new window  延伸查詢new window
14.Fama, Eugene F.(1970)。Efficient Capital Markets: A Review of Theory and Empirical Work。The Journal of Finance,25(2),383-417。  new window
15.Lakonishok, Josef、Shleifer, Andrei、Vishny, Robert W.(1994)。Contrarian Investment, Extrapolation, and Risk。Journal of Finance,49(5),1541-1578。  new window
16.Fama, Eugene F.、French, Kenneth R.(1998)。Value Versus Growth: The International Evidence。The Journal of Finance,53(6),1975-1999。  new window
圖書
1.劉真如(2008)。買對基金賺大錢。台北市:商周。  延伸查詢new window
2.Bodie, Z.、Kane, A.、Marcus, J. A.、Jain, R.(2014)。Investments。New York:McGraw Hill。  new window
3.Bogle, J. C.(2007)。A Little Book of Common Sense Investing: The Only Way to Guarantee Your Fair Share of Stock Market Returns。Hoboken:New Jersey。  new window
4.Grinold, R. C.、Kahn, R. N.(2000)。Active Portfolio Management: A Quantitative Approach for Producing Superior Returns and Controlling Risk。McGraw-Hill。  new window
5.Saunders, A.、Cornett, M. M.(2018)。Financial Institutions Management: A Modern Perspective。New York:McGraw-Hill。  new window
6.Ross, S.、Westerfield, R.、Jaffe, J.、Jordan, B.(2016)。Corporate Finance。New York:McGraw-Hill。  new window
圖書論文
1.Elton, E. J.、Gruber, M. J.(2013)。Mutual Funds。Handbook of the Economics of Finance。Amsterdam:Elsevier。  new window
 
 
 
 
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