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系統識別號 U0002-1506201722480200
DOI 10.6846/TKU.2017.00500
論文名稱(中文) 技術分析交易策略的預測能力與市場效率性-兩岸股市之實證研究
論文名稱(英文) The Predictive Power and Market Efficiency of Technical Trading Strategies with Liquidity -Evidence from the Cross-Strait Stock Markets
第三語言論文名稱
校院名稱 淡江大學
系所名稱(中文) 財務金融學系博士班
系所名稱(英文) Department of Banking and Finance
外國學位學校名稱
外國學位學院名稱
外國學位研究所名稱
學年度 105
學期 2
出版年 106
研究生(中文) 李全順
研究生(英文) Chuan-Shun Lee
學號 800530080
學位類別 博士
語言別 英文
第二語言別
口試日期 2017-05-21
論文頁數 76頁
口試委員 指導教授 - 李沃牆(wclee@mail.tku.edu.tw)
委員 - 洪明欽
委員 - 池秉聰
委員 - 陳光榮
委員 - 周恆志
委員 - 李篤華
委員 - 李沃牆
關鍵字(中) 效率市場
技術分析交易策略
買入持有策略
穩健性
隨機性
關鍵字(英) efficient market
buy and hold strategy
robustness
randomness
第三語言關鍵字
學科別分類
中文摘要
本論文從三個層面進行實證研究,第一個層面是實證檢定是否台灣股市的技術指標具有預測能力。第二個層面是若台灣股市的技術指標具有預測能力,本文研究哪一個技術指標或那些技術指標的組合可以加以運用。第三個層面則是在考量交易成本與風險之下,若技術指標具有預測能力,則本文將架構出技術指標交易策略的績效以打敗買入持有策略的績效。本文以五種技術指標架構交易策略,並以台灣股市10支大型權值股建立投資組合,以技術指標決定買賣訊號形成交易策略。本文實證結果,技術指標所架構的交易策略具有強烈預測能力,技術指標所構建投資組合與買入持有策略所構建投資組合均能打敗大盤績效。本文也運用Sharpe index, Treynor index 與Jensen alpha績效指標評估台灣50、中型100與上證50投資組合之買入後持有交易策略,實證結果發現台灣50、台灣50的績效優於上證50。本文也運用paired sample t-test 檢定台灣50 對中型100、台灣50 對上證50、中型100 對上證50等投資組合的穩健性,實證結果顯示具有強烈穩健性。本文最後使用runs test檢定所有樣本的隨機性,實證結果發現日資料與周資料樣本均有隨機性,意涵台北股市與中國上證股市均為弱勢效率市場。
英文摘要
The article aims at three folds. First, we examine whether or not these technical trading rules have predictive power for Taiwan and China stock markets. Second, if technical trading rules show predictive power, we study which of the technical indicators or their combinations should be applied. Finally, if technical trading rules demonstrate predictive power, can we construct a trading strategy based on the rules to outperform the buy-and-hold strategy when considering transaction costs and risks? In our empirical study, we apply 5 technical indicators to create trading strategies, select 10 of the biggest weighted stocks to establish portfolios and employ technical indicators to decide buy and sell signals to form trading rules. Overall our empirical findings provide strong support for the predictive power of technical trading rules and the technical-indicator based portfolio and buy-and-hold portfolio can beat the market. We also apply the Sharpe index, Treynor index and Jensen alpha to evaluate the performances of buy-and-hold strategy based on the portfolios of Taiwan 50, Taiwan Mid-cap 100 and SSE 50. The empirical results are very easy to distinguish the performances of Taiwan 50 and Taiwan Mid-cap 100 are better than SSE 50. We use paired sample t-test to test the performances of portfolios of Taiwan 50 vs. Taiwan Mid-cap 100, Taiwan 50 vs. SSE 50, Taiwan Mid-cap 100 vs. SSE 50 and the empirical results of the performances of technical indicators are robustness. Finally, we use the runs test to test the randomness of samples of Taiwan 50, Taiwan Mid-cap 100 and SSE 50 by daily data and weekly data and the empirical findings are randomness and we considered the weak-form efficient market exists in the Taipei and China stock markets.
第三語言摘要
論文目次
CONTENTS
CHAPTER 1  INTRODUCTION AND MOTIVATION.........................................1
1.1 Introduction and Motivation.................................................................................1
1.2 Purpose.................................................................................................................3
1.3 Framework...........................................................................................................4
CHAPTER 2  LITERATURE REVIEW..................................................................5
CHAPTER 3  DATA AND METHODOLOGY ……………..………...….……..11
3.1 Data....................................................................................................................11
3.2 Technical Trading Rule.......................................................................................12
CHAPTER 4  	EMPIRICAL FLOWS AND STRUCTURE.……….……………23
  4.1 Construct the Portfolio.......................................................................................23
4.2 Result Analysis...................................................................................................27
   4.2.1 Performance of the Taiwan top 50 portfolio……………………………..28
   4.2.2 Performance of the Taiwan t mid-cap 100 portfolio…………………….30
   4.2.3 Performance of the SSE top 50 portfolio………………………………..32
4.3 Comparison of Performance...............................................................................34
CHAPTER 5  ROBUST TEST................................................................................37
5.1 Theory.................................................................................................................37
5.2 Paired Sample t-test............................................................................................38
5.3 Runs test.............................................................................................................40
CHAPTER 6  CONCLUSIONS AND REMARKS...............................................42
6.1 Conclusions........................................................................................................42
6.2 Remarks..............................................................................................................44
APPENDIX………………………………………………………………………….45
REFERENCE.............................................................................................................73 
 
LIST OF TABLES
Table 1-1 Data source and description(Taiwan 50)....................................................11
Table 1-2 Data source and description(Taiwan Mid-cap 100)....................................11
Table 1-3 Data source and description (SSE).............................................................12
Table 2 The optimal portfolio’s risk and Return.........................................................23
Table 3 The optimal portfolio’s weight of Top 10 stocks of Taiwan 50......................23
Table 4 Summary Statistics of daily Returns for Taiwan 50 (Daily Data)…………..24
Table 5 The optimal portfolio’s risk and Return..........................................................24
Table 6 The optimal portfolio’s weight of Top 10 stocks of Taiwan Mid-cap 100......24
Table 7 Summary Statistics of daily Returns for Taiwan Mid-Cap100 (Daily Data)..25
Table 8 The optimal portfolio’s risk and Return..........................................................26
Table 9 The optimal portfolio’s weight of Top 10 stocks of SSE................................26
Table 10 Summary Statistics of daily Returns for SSE 50 (Daily Data)…………….27
Table 20-1 B&H_Monthly Performance_ data............................................................34
Table 20-2 B&H_Seasonal Performance_ data...........................................................34
Table 20-3 B&H_Half Year Performance_ data..........................................................35
Table 21-1 B&H_Monthly Performance_ data...........................................................35
Table 21-2 B&H_Seasonal Performance_ data...........................................................36
Table 21-3 Comparison of half Year Performance_Weekly data.................................36
Table 22-1 Taiwan 50 vs. Taiwan Mid-cap 100...........................................................38
Table 22-2 Taiwan 50 vs. SSE 50................................................................................38
Table 22-3 Taiwan Mid-cap100 vs. SSE 50................................................................39
Table 22-4 Daily data vs. Weekly data........................................................................39
Table 23-1 Runs Test Results(Taiwan 50)...................................................................40
Table 23-2 Runs Test Results(Taiwan Mid-cap 100)...................................................40
Table 23-3 Runs Test Results(SSE 50)........................................................................41
Table 11-1 B&H Monthly Performance(Daily data, Taiwan 50)................................45
Table 11-2 B&H Seasonal Performance(Daily data, Taiwan 50).................................47
Table 11-3 B&H Half Year Performance (Daily data, Taiwan 50)……………….......48
Table 12-1 B&H Monthly Performance(Weekly data, Taiwan 50)………..…………48
Table 12-2 B&H Seasonal Performance(Weekly data, Taiwan 50)……………….....50
Table 12-3 B&H Half Year Performance (Weekly data, Taiwan 50)...........................51
Table 13-1 B&H Monthly Performance(Daily data, Taiwan mid- cap100).................52
Table 13-2 B&H Seasonal Performance(Daily data, Taiwan mid- cap100) ………...54
Table 13-3 B&H Half Year Performance(Daily data, Taiwan mid- cap100) ………..55
Table 14-1 B&H Monthly Performance(Weekly data, Taiwan mid- cap100) …….....56
Table 14-2 B&H Seasonal Performance(Weekly data, Taiwan mid- cap100) ……....57
Table 14-3 B&H Half Year Performance(Weekly data, Taiwan mid- cap100) ….......58
Table 15-1 B&H Monthly Performance(Daily data, SSE 50) ……….........................59
Table 15-2 B&H Seasonal Performance(Daily data, SSE 50) …………....................61
Table 15-3 B&H Half Year Performance(Daily data, SSE 50) ……...........................62
Table 16-1 B&H Monthly Performance(Weekly data, SSE 50) …………..................63
Table 16-2 B&H Seasonal Performance(Weekly data, SSE 50) ……….....................64
Table 16-3 B&H Half Year Performance(Weekly data, SSE 50) ………....................65
Table 17-1 The Portfolio Performance of Tech Performance (Seasonal, Taiwan 50) ……....66
Table 17-2 The Portfolio Performance of Tech Performance (Half Year, Taiwan 50) …………................................................................................................................67
Table 18-1 The Portfolio Performance of Tech Performance(Seasonal, Taiwan mid-cap 100) …………..............................................................................................................68
Table 18-2 The Portfolio Performance of Tech Performance (Half Year, Taiwan mid-cap 100) …………..............................................................................................................69
Table 19-1 The Portfolio Performance of Tech Performance (Seasonal, SSE 50) …………70
Table 19-2 The Portfolio Performance of Tech Performance (Half Year, SSE 50) …….......71
 
LIST OF FIGURES
Figure 1-1  the flowchart..............................................................................................4
Figure 2-1  the optimal asset allocation(CRRA=3)....................................................23
Figure 2-2  the optimal asset allocation(CRRA=3)....................................................25
Figure 2-3  the optimal asset allocation(CRRA=3)....................................................26
Figure 3-1  B&H Monthly Performance(Daily data, Taiwan 50)..............................46
Figure 3-2  B&H Seasonal Performance(Daily data, Taiwan 50)..............................47
Figure 3-3  B&H Half Year Performance(Daily data, Taiwan 50).............................48
Figure 3-4  B&H Seasonal Performance(Weekly data, Taiwan 50)...........................51
Figure 3-5  B&H Half Year Performance(Weekly data, Taiwan 50)..........................52
Figure 3-6  B&H Monthly Performance(Daily data, Taiwan mid- cap100)..............54
Figure 3-7  B&H Seasonal Performance(Daily data, Taiwan mid- cap100)..............55
Figure 3-8  B&H Half Year Performance(Daily data, Taiwan mid- cap100).............56
Figure 3-9  B&H Seasonal Performance(Weekly data, Taiwan mid- cap100)...........58
Figure 3-10  B&H Half Year Performance(Weekly data, Taiwan mid- cap100)........59
Figure 3-11  B&H Monthly Performance(Daily data, SSE 50).................................61
Figure 3-12  B&H Seasonal Performance(Daily data, SSE 50).................................62
Figure 3-13  B&H Half Year Performance(Daily data, SSE 50)................................63
Figure 3-14  B&H Seasonal Performance(Weekly data, SSE 50)..............................65
Figure 3-15  B&H Half Year Performance(Weekly data, SSE 50)............................66
Figure 3-16  Tech Seasonal Performance (Taiwan 50)..............................................67
Figure 3-17  Tech Half Year Performance (Taiwan 50) ............................................68
Figure 3-18  Tech Seasonal Performance (Taiwan mid- cap100)..............................69
Figure 3-19  Tech Half Year Performance (Taiwan mid- cap100).............................70
Figure 3-20  B&H Half Year Performance(SSE 50)..................................................71
Figure 3-21  Tech Half Year Performance (SSE 50)..................................................72
參考文獻
REFERENCES
1.	Appel, G. (1999), Technical Analysis Power Tools -for Active Investors, Systems and Forecasts, Signalert Corporation, 150 Great Neck Road, Great Neck, New York, USA. 
2.	Balsara, N., G. Chen, and L. Zheng. (2007), The Chinese Stock Market: An Examination of the Random Walk Model and Technical Trading Rules, Quarterly Journal of Business and Economics, Vol. 46, No. 2. pp. 43-63. 
3.	Balsara, N., J. Chen, and L. Zheng. (2009), Profiting from a Contrarian Application of Technical Trading Rules in the U.S. Stock Market, Journal of Asset Management, Vol. 10, No. 2, pp.97-123. 
4.	Brock, W., J. Lakonishok, and B. LeBaron. (1992), Simple Technical Trading Rules and the Stochastic Properties of Stock Returns, Journal of Finance, Vol.47 , pp.1731-64.  
5.	Chang, Y., M. Metghalchi, and C. Chan. (2006), Technical Trading Strategies and Cross-national Information Linkage: The case of Taiwan Stock Market,  Applied Financial Economics, Vol.16, pp.731–743. 
6.	Fifield, S., D. Power, and C. D. Sinclair. (2005), An Analysis of Trading Strategies in Eleven European Stock Markets, European Journal of Finance, Vol.11,No.6, pp.531-548. 
7.	Granville, J.E. (1976), A New Strategy of Daily Stock Market Timing for Maximum Profit, Prentice Hall, Englewood Cliffd, NJ, USA. 
8.	Kung, J., and W. Wong. (2009), Efficiency of the Taiwan Stock Market, Japanese Economic Review, Vol. 60, No. 3, pp. 389-394. 
9.	Jensen, M. C.,(1968), The Performance of Mutual Funds in the Period 1945-1964, Journal of Finance, Vol. 23, No. 2, pp.389-416.
10.	Lai, H. W., C. W. Chen, and C. H. Huang. (2010), Technical Analysis, Investment Psychology, and Liquidity Provision: Evidence from the Taiwan Stock Market, Emerging Markets Finance and Trade, September–October 2010, Vol. 46, No. 5, pp.18–38. 
11.	Lento, C. (2007), Tests of Technical Trading Rules in the Asian-Pacific Equity Markets: A Bootstrap Approach. Academy of Accounting & Financial Studies Journal, Vol.11, No.2., pp.51-73.
12.	Lento, C. (2010), The Combined Signal Approach to Technical Analysis: A Review and Commentary, Applied Economics Letters, Vol.16, No.7, pp.749-753.
13.	Li, W., and S. Wang. (2007), Ownership Restriction, Information Diffusion Speed, and the Performance of Technical Trading Rules in Chinese Domestic and Foreign Shares Markets, Review of Pacific Basin Financial Markets and Policies, Vol. 10, No. 4, pp.585-617. 
14.	Loh, E. (2007), An Alternative Test for Weak Form Efficiency Based on Technical Analysis, Applied Financial Economics, Vol.17, pp.1003-1012. 
15.	Lukac, L. P., B.W. Brorsen, and S.H. Irwin. (1988), A Test of Futures Market Disequilibrium Using Twelve Different Technical Trading Systems, Applied Economics, Vol.20, pp.623-639. 
16.	Markowitz, H. (1952), Portfolio Selection, Journal of Finance, Vol.7, No. 1, pp.77-91.
17.	McKenzie, M. (2007), Technical Trading Rules in Emerging Markets the 1997 Asian Currency Crisis, Emerging Markets Finance and Trade, Vol. 43, No. 4, pp.46-73. 
18.	Mengoli, S. (2004), On the Source of Contrarian and Momentum Strategies in the Italian Equity Market, International Review of Financial Analysis, Vol. 13,No,3, pp.301-331. 
19.	Menkhoff, Lukas, and Mark Taylor. (2007), The Obstinate Passion of Foreign Exchange Professionals:  Technical Analysis, Journal of Economic Literature, Vol.45, pp.936-972.  
20.	Metghalchi, M., Y. Chang, and Y. Marcucci. (2008), Is the Swedish Stock Market Efficient? Evidence from Some Simple Trading Rules, International Review of Financial Analysis, Vol.17, No.3, pp.475- 490. 
21.	Metghalchi, M., J. Du, and Y. Ning. (2009), Validation of Moving Average Trading Rules: Evidence from Hong Kong, Singapore, South Korea, Taiwan. Multinational Business Review, Vol. 17, No. 3, pp. 101-122. 
22.	Metghalchi, M., and X. Garza-Gomez. (2011), Trading Rules for the Abu Dhabi Stock Index, Review of Middle East Economics and Finance, Vol. 7: No. 1, Article 4. 
23.	Murphy, J. (1999), Technical Analysis of the Financial Markets, New York Institute of Finance, New York, USA. 
24.	Park, C., and S. Irwin. (2007), What Do We Know about the Profitability of Technical Analysis?  Journal of Economic Surveys, Vol. 21, No. 4, pp. 786–826. 
25.	Pring, M.J. (1991), Technical analysis: Explained, McGraw-Hill Co., New York.
26.	Qi, M., and Y. Wu. (2005), Technical Trading-Rule Profitability, Data Snooping, and Reality Check: Evidence from the Foreign Exchange Market, Journal of Money, Credit and Banking, Vol. 38, pp. 2135-2158. 
27.	Savin, J., P. Weller, and J. Zvingelis. (2007),The Predictive Powers of Head and Shoulders, Price Patterns in the U.S. Stock Market. Journal of Financial Econometrics, Vol.5, No 2, pp.243-265. 
28.	Sharpe, W. F.,(1966),“Mutual Fund Performance,” Journal of Business, Vol. 39, No. 1, pp.119-138.
29.	Sweeney, R. (1986), Beating the Foreign Exchange Market. Journal of Finance, Vol.41, pp.163-182.   
30.	Taylor, M., and H. Allen. (1992), The Use of Technical Analysis in the Foreign Exchange Market, Journal of International Money and Finance, Vol. 11, Issue 3, pp.304-314. 
31.	Treynor, J. L.(1965),How to Rate Management of Investment Fund, Harvard Business Review, Vol. 43, pp.63-75.
32.	Vasiliou, D., N. Eriotis, and S. Papathanasiou. (2006), How Rewarding Is Technical Analysis? Evidence from Athens Stock Exchange, Operational Research, Vol. 6, pp.85-102.
40.  Zhou, Y., and G. Zhou. (2009), Technical Analysis: An Asset allocation    Perspective on the Use of Moving Averages, Journal of Financial Economics, Vol. 92, pp.519-544.
33.	H. Zhu et al. (2015), Profitability of simple technical trading rules of Chinese stock exchange indexes, Physica A, Vol. 439, pp.75–84
34.	Min Zhu et al. (2016), Are candlestick trading strategies effective in certain stocks with distinct features? Pacific-Basin Finance Journal, Vol.37,  pp.116–127
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