技術分析對台灣波動度及規模效果之影響

The Impact of Technical Analysis on Volatility and Size Effects in Taiwan Stock Market

10.6504/JOM.2016.33.02.08

柯冠成(Kuan-Cheng Ko)；蘇湘茹(Hsiang-Ju Su)；林信助(Shinn-Juh Lin)；朱香蕙(Hsiang-Hui Chu)

資產定價 ； 異常報酬 ； 技術分析 ； 移動平均 ； 台灣股票市場 ； Asset-pricing ； Anomaly ； Technical Analysis ； Moving average ； Taiwan stock market

管理學報

33卷2期（2016 / 06 / 01）

281 - 309

繁體中文

本文探討在台灣股票市場以波動度及公司規模形成投資策略時，投資者是否可以透過技術分析中的移動平均指標，來獲取較高的異常報酬。實證結果發現，在波動度或公司規模投資組合中，使用移動平均策略之投資績效皆優於買入持有策略。此外，為了充分掌握波動度效果及公司規模效果的異常報酬，本文根據移動平均指標所發出的交易訊號，除了買入最高波動度（公司規模最小）的投資組合之外，並同時放空最低波動度（公司規模最大）的投資組合，形成一零成本的投資組合。結果不管是依波動度或公司規模所形成的投資組合，此一策略皆可獲取顯著為正的投資績效。即便在扣除交易成本後，其優越的績效表現依舊存在。透過穩健性檢定，發現不論是動能效果、總體經濟指標、市場狀態及市場擇時能力，皆無法完全解釋本研究依據移動平均指標建構交易策略所可獲取的超額報酬。

In this study, we examine whether asset pricing anomalies caused by the volatility effect and the size effect exist in Taiwan’s stock market, and investigate whether investors can exploit abnormal returns therein by applying the popular moving-average technical trading rule. We construct investment portfolios based on firms’ return volatility or market capitalization, and apply the moving-average rule to determine the timing for buying these portfolios. Our empirical results demonstrate that, a combination of the moving-average buying indicator and the volatility (or size) effect do generate higher returns than the traditional buy-and-hold strategy, and the size of such abnormal return typically decreases with the length of the moving average rule employed. Furthermore, we propose a zero-cost investment strategy by buying the highest volatility (or smallest size) portfolio, and short-selling the lowest volatility (or largest size) portfolio based on the moving-average signals. The overall evidence suggests that such a zero-cost investment strategy generates significantly positive returns, and the results are not affected by the consideration of transaction costs. With robustness checks, we also show that such abnormal returns cannot be fully explained by the momentum effect, macroeconomic conditions, market states, or the market timing ability.

1. 洪榮華、雷雅淇(2002)。公司規模、股價、益本比、淨值市價比與股票報酬關係之實證研究。管理評論，21(3)，25-48。
   連結：
2. Goh, J., Jiang, F., Tu, J., & Zhou, G. 2012. Forecasting bond risk premia using technical indicators. Working paper, Washington University, St. Louis, MO.
3. Spiegel, M. I., & Wang, X. 2005. Cross-sectional variation in stock returns: Liquidity and idiosyncratic risk. Working paper, Yale School of Management, Connecticut.
4. Ang, A.,Hodrick, R. J.,Xing, Y.,Zhang, X.(2006).The cross-section of volatility and expected returns.Journal of Finance,61(1),259-299.
5. Avramov, D.,Chordia, T.,Goyal, A.(2006).Liquidity and autocorrelations in individual stock returns.Journal of Finance,61(5),2365-2394.
6. Bali, T. G.,Cakici, N.(2008).Idiosyncratic volatility and the cross section of expected returns.Journal of Financial and Quantitative Analysis,43(1),29-58.
7. Banz, R. W.(1981).The relationship between return and market value of common stocks.Journal of Financial Economics,9(1),3-18.
8. Bessembinder, H.,Chan, K.(1995).The profitability of technical trading rules in the Asian stock markets.Pacific-Basin Finance Journal,3(2-3),257-284.
9. Bessembinder, H.,Chan, K.(1998).Market efficiency and the returns to technical analysis.Financial Management,27(2),5-17.
10. Brock, W.,Lakonishok, J.,LeBaron, B.(1992).Simple technical trading rules and the stochastic properties of stock returns.Journal of Finance,47(5),1731-1764.
11. Brown, D. P.,Jennings, R. H.(1989).On technical analysis.Review of Financial Studies,2(4),527-551.
12. Carhart, M. M.(1997).On persistence in mutual fund performance.Journal of Finance,52(1),57-82.
13. Fama, E. F.,French, K. R.(1992).The crosssection of expected stock returns.Journal of Finance,47(2),427-465.
14. Fama, E. F.,French, K. R.(1993).Common risk factors in the returns on stocks and bonds.Journal of Financial Economics,33(1),3-56.
15. Fernandez-Rodrıguez, F.,Gonzalez-Martel, C.,Sosvilla-Rivero, S.(2000).On the profitability of technical trading rules based on artificial neural networks: Evidence from the Madrid stock market.Economics letters,69(1),89-94.
16. Han, Y.,Yang, K.,Zhou, G.(2013).A new anomaly: The cross-sectional profitability of technical analysis.Journal of Financial and Quantitative Analysis,48(5),1433-1461.
17. Henriksson, R. D.,Merton, R. C.(1981).On market timing and investment performance. II. Statistical procedures for evaluating forecasting skills.Journal of Business,54(4),513-533.
18. Kidd, W. V.,Brorsen, B. W.(2004).Why have the returns to technical analysis decreased?.Journal of Economics and Business,56(3),159-176.
19. Ko, K. C.,Lin, S. J.,Su, H. J.,Chang, H. H.(2014).Value investing and technical analysis in Taiwan stock market.Pacific-Basin Finance Journal,26,14-36.
20. Lesmond, D. A.,Schill, M. J.,Zhou, C.(2004).The illusory nature of momentum profits.Journal of Financial Economics,71(2),349-380.
21. Liew, J.,Vassalou, M.(2000).Can book-to-market, size and momentum be risk factors that predict economic growth?.Journal of Financial Economics,57(2),221-245.
22. McKenzie, M. D.(2007).Technical trading rules in emerging markets and the 1997 Asian currency crises.Emerging Markets Finance and Trade,43(4),46-73.
23. Menkhoff, L.(2010).The use of technical analysis by fund managers: International evidence.Journal of Banking & Finance,34(11),2573-2586.
24. Mills, T. C.(1997).Technical analysis and the London stock exchange: Testing trading rules using the FT30.International Journal of Finance and Economics,2(4),319-331.
25. Neely, C. J.,Rapach, D. E.,Tu, J.,Zhou, G.(2014).Forecasting the equity risk premium: The role of technical indicators.Management Science,60(7),1772-1791.
26. Parisi, F.,Vasquez, A.(2000).Simple technical trading rules of stock returns: Evidence from 1987 to 1998 in Chile.Emerging Markets Review,1(2),152-164.
27. Park, C. H.,Irwin, S. H.(2007).What do we know about the profitability of technical analysis?.Journal of Economic Surveys,21(4),786-826.
28. Sullivan, R.,Timmermann, A.,White, H.(1999).Datasnooping, technical trading rule performance, and the bootstrap.Journal of Finance,54(5),1647-1691.
29. Szakmary, A. C.,Lancaster, M. C.(2015).Trendfollowing trading strategies in US stocks: A revisit.Financial Review,50(2),221-255.
30. Treynor, J.,Mazuy, K.(1966).Can mutual funds outguess the market?.Harvard Business Review,44(4),131-136.
31. Zhang, X. F.(2006).Information uncertainty and stock returns.Journal of Finance,61(1),105-137.
32. Zhu, Y.,Zhou, G.(2009).Technical analysis: An asset allocation perspective on the use of moving averages.Journal of Financial Economics,92(3),519-544.
33. 王麗惠、郭憲章、吳壽山(2009)。公司報酬演化階段與市價淨值比溢酬現象之探討。證券市場發展季刊，21(3)，1-24。
34. 李命志、林宛宜(2000)。臺灣股市規模效應與淨值市價比效應實證研究。臺灣經濟金融月刊，36(9)，88-98。
35. 李春旺、劉維琪、高孔廉(1989)。股價行為與規模效應：臺灣股票市場實證研究。管理評論，8(1)，99-121。
36. 周賓凰、劉怡芬(2000)。台灣股市橫斷面報酬解釋因子：特徵、單因子、或多因子。證券市場發展季刊，12(1)，1-31。
37. 翁霓、劉維琪、陳隆麒(1995)。投資績效分析：低股價效果及小股本效果之實證研究。管理科學學報，12(3)，335-359。

1. 蕭朝興,黃敬哲,陳柔君(2022)。股價移動平均真有用嗎？。管理學報，39(2)，235-263。
2. 楊念慈,林美珍(2019)。行為財務學與資產訂價異常現象：文獻回顧與展望。證券市場發展季刊，S，49-110。
3. 楊念慈、林美珍(2017)。行為財務學與資產訂價異常現象：文獻回顧與展望。證券市場發展季刊，29(4)，1-62。