| 研究生: |
游豐銘 Yu, Feng-ming |
|---|---|
| 論文名稱: |
台灣50 ETF與台灣50股票以及市場動能相關性之研究 A Study of Relationship among Taiwan 50 ETF, Taiwan 50 Securities And Market Momentum |
| 指導教授: |
江明憲
Chiang, Min-Hsien |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 企業管理學系碩士在職專班 Department of Business Administration (on the job class) |
| 論文出版年: | 2008 |
| 畢業學年度: | 96 |
| 語文別: | 中文 |
| 論文頁數: | 89 |
| 中文關鍵詞: | 追蹤誤差 、指數股票型基金 、資訊比率 、隨機指標線KD 、平滑異同平均線MACD 、台灣50 ETF |
| 外文關鍵詞: | Moving average convergence and divergence, Tracking Error, Taiwan 50 ETF, Exchange Trade Fund, Information Ratio, Stochastic KD line |
| 相關次數: | 點閱:131 下載:11 |
| 分享至: |
| 查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
台灣50 ETF為國內首檔指數股票型基金,其商品所獨具「基金」與「股票」的特色提供投資人一個低成本、風險分散的投資管道。本研究目的主要為探討衡量基金績效的資訊比率(Information ratio)指標與研判股票買賣預測的隨機指標線KD與平滑異同平均線MACD技術指標之間是否存在可預測的相關性,並在市場動能(Market Momentum)產生時利用技術指標嘗試以股票操作是否優於買入持有策略。
實證結果指出,資訊比率與MACD指標的BAR值具有研判行情的相關性影響,透過向量自我回歸模型(Vector autoregression;VAR)的驗證後,BAR值具有領先資訊比率變動的可預測性;在MACD指標買賣訊號與追蹤誤差(Tracking error)的分析上亦顯示股票於空頭行情時基金的追蹤誤差波動性擴大,反之在多頭行情時追蹤誤差表現具穩定性的結果。另外以整體的操作而言,台灣50 ETF產生市場動能現象時,透過KD、MACD與買入持有策略的報酬操作結果,驗證出在空頭行情時利用KD指標的股票操作,所獲得的報酬優於MACD指標與買入持有策略。
Taiwan 50 ETF is the Taiwan Stock Exchange (TSE) first grade of Exchange Trade Fund (ETF), its amphicommodity with characteristic of "Fund" and "Stock” provides the way of investment mode which the lower cost, risk dispersible underlying assets. The purpose of this discourse is to explore whether the impact of divinable correlation among the indicator of fund indicator which information ratio and technical analysis of Stock on the Stochastic KD line (KD) and Moving average convergence and divergence (MACD). We also use the technique indicators to test whether the trading performance with KD and MACD superior to Buy and Hold strategy in the market momentum.
The findings of these empirical results is to present that information ratio is related to BAR values of MACD indicators, as the result of Vector autoregression model testing, the BAR values is to get ahead information ratio variation almost three days. The analysis between trading signals of MACD indicator and tracking error indicated that the Taiwan 50 ETF’s tracking error volatility in the bearish is going to expanding, whereas that stable in the bullish. To integrate all of trading performance show that Stochastic KD line can be applied to bearish superior to MACD indicator and Buy and Hold strategy in the market momentum.
參考文獻
ㄧ、中文部分
1.王淑芬,「投資學」,五版,華泰文化出版社,2004。
2.王韻晴,「我國指數股票型基金上市後之績效分析」,國立政治大學財務管理研究所碩士論文,2004。
3.吳百正,「台股期貨市場弱勢效率性之研究」,國立台灣科技大學財務金融研究所碩士論文,2004。
4.李建興、彭琪錄、施能貴,「以限制追蹤誤差方式建構增長型指數基金:以台灣50指數為例」,金融風險管理季刊,第一卷第三期,頁1-26,2005。
5.呂盈錄,「依平均數-變異數準則建構ETF-以台灣50指數基金為例」,國立成功大學財務金融研究所碩士論文,2004。
6.林天運,「大盤未來走勢預測-KD指標的實證分析」,國立成功大學國際企業研究所碩士論文,2007。。
7.林良炤,「KD技術指標應用在台灣股市實證之研究」,國立台灣大學商學研究所碩士論文,1997。
8.邱浩政,「量化研究與統計分析」,五南出版社,2006。
9.林靖中,「台灣50指數股票型基金(ETF)對標的指數成分股之影響」,國立成功大學企業管理研究所博士論文,2005。
10.林澤利,「從技術指標探討台灣股市效率之研究-以台灣50指數成分股為例」,東吳大學經濟學研究所碩士論文,2006。
11.黃光廷,「技術分析、基本分析與投資組合避險績效之研究」,國立成功大學會計學研究所碩士論文,2002。
12.陳怡伶,「台灣50 ETF與台灣加權股價指數現貨與台指期貨間的價格關聯性研究」,國立成功大學企業管理研究所碩士論文,2004。
13.陳建全,「台灣股市技術分析之實證研究」,國立台灣大學商學研究所碩士論文,1998。
14.陳重銓,「效率指標的運用與基金績效之研究」,義守大學財務金融研究所碩士論文,2005。
15.楊奕農,「時間序列分析」,雙葉出版社,2007。
16.葛思惠,「指數股票型基金之制度規劃」,台灣證券交易所,2002。
17.劉殷如,「指數股票型基金之績效評估及相關研究-以台灣首檔ETF為例」,國立成功大學會計學研究所碩士論文,2004。
18.潘硯雪,「台灣50指數ETF上市對市場品質影響之研究」,國立雲林科技大學財務金融研究所碩士論文,2004。
19.鄭義、張菁惠,「投資組合追蹤誤差之探討」,貨幣觀測與信用評等,投資策略專題,頁12-18,2004。
20.寰宇證券投資顧問公司譯,「技術分析精論(上)、(下)」,寰宇證券投資顧問公司,2005。
21.謝德宗、俞海琴,「現代投資學」,二版,華泰文化出版社,2001。
22.寶來證券投資信託公司,「寶來台灣卓越50證券投資信託基金公開說明書」,寶來投信P-Shares_http://ww.tw50 ETF.com/,2003。
二、英文部分
1.Ammann and Zimmermmann, Tracking Error and tactical asset allocation, Journal of Financial Analysis, 57(2), PP 32-43, 2001.
2.Beaver, Kettler. And Scholes, The association between market determined and accounting determined risk measures, Accounting review, PP654-682, 1968.
3.Cornell, The Relationship between Volume and Price Variability in Futures Markets, The Journal of Futures Markets, 20, No1., PP5-18, 2000.
4.Damato, Funds haven’t done well by indexing small stocks, The Wall Street Journal, C1, 1997.
5.Edwards and Magee, Technical Analysis of Stock Trends, AMACOM Div American Mgmt Assn, 2001.
6.Fabozzi and Francis, Mutual fund systematic risk for bull and bear markets : an empirical examination, Journal of Finance, 34, PP 1243-1250, 1979.
7.Fama, The Behavior of Stock Market Prices, Journal of Business, Vol33, PP.34-105, 1965.
8.Fama and Blume, Filter Rules and Stock Market Trading Profits, Journal of Business, Vol.39, PP 266-241, 1966.
9.Goodwin, The information Ratio, Financial Analysts Journal, 54(4), PP 34-43, 1998.
10.Grinold and Kahn, Active portfolio management, Chicago, Probus Publishing Company, 1995.
11.Grossman, On the Efficiency of Competitive Stock Market Where Readers Have Diverse Information, Journal of Finance, Vol.31, PP573-585, 1976.
12.Grossman and Stiglitz, On the impossibility of Informationally Efficient markets, American Economic Review, Vol.70, No.3, PP393-408, 1980.
13.Hallerbach, The Information Ratio as a Performance Metric, Medium econometrische toepassingen, 2006.
14.Hellwig, Rational Expectations Equilibrium with Conditioning on Past Prices : A mean Variance Example, Journal of Economic Theory, Vol.26, pp 279 -312, 1982.
15.Israelsen, A refinement to the Sharpe ratio and information ratio, Journal of Asset management, Vol.5, PP423-427, 2005.
16.Jay, Tracking Error and the Information ratio, The Journal of Investment Consulting, PP 18-22, 2000.
17.Jenning, Starks and Fellingham, An equilibrium model of Asset Trading with Sequential Information Arrival, Journal of Finance, PP143-161, 1981.
18.Jensen, The performance of mutual funds in the period 1945-1964, Journal of Finance, 23(2), PP 389-416, 1968.
19.Jiang, A nonparametric test of market timing, Journal of Empirical Finance, 2003.
20.Jorion, Enhanced index funds and tracking error optimization, Working paper, University of California at Irvine, 2002.
21.Karpoff, The Relation between Price Change and Trading Volume, Journal of Financial and Quantitative, 22, No.2, PP109-126, 1987.
22.Kaushik, Joshua and Nejet, Index Option Prices and Stock Market Momentum, Journal of Business, Vol.77, No.4, PP835-873, 2004.
23.Keynes, The General Theory of Employment, Interest and Money, 1936.
24.Lauzon, A Bond’s-Eye View of the Information Ratio, Merganser Capital Management LP, 2004.
25.Levy, Conceptual Foundation of Technical Analysis, Financial Analysis Journal , PP84-85, 1966.
26.Murphy, Technical Analysis of the Futures Market, New York Institute of Finance, 1986.
27.Neftci, Naïve Trading Rules in Financial Markets and Weiner-Kolmogorov Prediction Theory: A Study of Technical Analysis, Journal of Business,Vol.64, No.4, PP549-571, 1991.
28.Pomerantz, Information Ratio-What is it and why is it important? Securities Insight for Attorneys, 2006.
29.Roll, A mean-variance analysis of tracking error, Journal of portfolio Management, 18, PP 13-22, 1992.
30.Sharpe, Mutual Fund Performance, Journal of Business, PP 119-138, 1966.
31.Tobe, Tracking Error: An Essential Tool in Evaluating Index Funds. The Journal of Investment Consulting, PP 8-11, 1999.
32.Treynor and Black, How to use security analysis to improve portfolio selection, Journal of business, 46 (1), PP 66-86, 1973.
33.Treynor, How to Rate Management of Investment Fund, Harvard Business Review, Vol. 43, PP 63-75, 1965.
34.Treynor and Mazuy, Can mutual funds outguess the market? , Harvard Business Review, 44, PP 131-136, 1996.
35.Treynor and Ferguson, In Defense of Technical Analysis, Journal of Finance, Vol.40, No.3, PP757-775, 1985.
36.Tylor, A note on closet-indexing, Journal of Economics and Business, 56(6), PP 431-441, 2004.
37.Viet and Cheney, Are mutual funds markets timer? , Journal of Portfolio Management, 1982.