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  • 學位論文

移動平均線技術分析交易策略之實證研究-以台灣五十成分股為例

The study of Strategy of Taiwan Stock Exchange Capitalization Weighted Stock Index Futures by using Moving Average-The case of Underlying Stocks of Taiwan 50 Index

指導教授 : 王傳慶
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摘要


投資者經常使用各種的技術分析作為投資策略的參考,而移動平均線是最常被投資人使用的技 術分析方法,所以本研究技術分析方法採移動平均線。本研究發現一些技術指標可以作為投資者買 賣臺灣50 指數成分股之參考。 本研究以台灣股價指數期貨做為研究對象,研究期間約8 年,共1965 個交易日,從2002 年10 月29 日至2010 年9 月20 日,透過2 日、3 日、4 日、5 日、6 日、7 日、10 日、20 日、40 日,以 及65 日的移動平均線彼此之間最小差距當作交易訊號,從中找尋具有規律性的技術指標以訂定投資 策略。 實證結果顯示1. 這種技術分析方法可以提供投資者更多的交易資訊。2. 因為傳產、金融和電 子這3 種的股票具有不同的特性,因此對於不同的產業別有不同的資策略,電子類股相對於金融與 傳產類股投資的訊號較多。

並列摘要


Recently, professional investors widely use many of the technical analysis tools to be making strategy of investment. Average moving is one of the most popular technical analysis tools in the world, so the technical analysis tool we use is the moving average and we find some useful sign to help and give investors some references when they invest in Underlying Stocks of Taiwan 50 Index. In this study, we use the TAIFEX Futures(Taiwan Stock Exchange Capitalization Weighted Stock Index Futures) to be the object. The period of this study is from October 29, 2002 to September 20, 2010, about 8 years, including 1965 trading days. By select the smallest linkage between 2DMA、3DMA、4DMA、5DMA、6DMA、 7DMA、10DMA、20DMA、40DMA、65DMA in every day date to find regularity and make strategy of investment. By empirically testing date, the result are follows. First, this kind of technical analysis methods using moving average can provide investors much trading information. Second, because the three kinds of stocks including biography, finance and electronics are different property, there are different strategies of investment between them. The changes of investing in biography and finance are less than electronics.

參考文獻


2. Bohan, J., 1981, Relative Strength : Further Positive Evidence, Journal of Portfolio Management, Ⅶ, 36-39.
3. Brock, W.J., and B. Lebaron, 1992, Simple Technical Trading Rules and the Stochastic Properties of Stock Return , Journal of Finance, Vol. XLVII, No5, 1731-1764.
4. Carter, R.B., and H. E. Van Auken, 1990, Security analysis and portfolio management: a survey and analysis, Journal of Portfolio Management, 16(3), 81-85.
5. Chan, K., Y.P. Chung and W. Fong, 2002, The Information Role of Stock and Option Volume, Review of Financial Studies, 15, 1049-75.
7. Corrado, C. J., and S. H. Lee, 1992, Filter Rule Tests of the Economic Significance of Serial Depencies in Daily Stock Returns, The Journal of Financial Research, Vio.XV, No.4 Winter, 369-387.

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