题名

槓桿型及反向型ETFs擇時能力之實證研究

并列篇名

The Empirical Research of Timing Ability on Leveraged and Inversed ETFs

作者

陳建華(Chien-Hua Chen);徐玥圓(Yueh-Yuan Hsu);段旭銘(Syu-Ming Duan)

关键词

擇時能力 ; 槓桿型與反向型ETFs ; MA技術指標組合策略 ; Timing Ability ; Leveraged and Inversed ETFs ; MA Technical Indicators Strategy

期刊名称

明新學報

卷期/出版年月

41卷2期(2015 / 08 / 01)

页次

79 - 94

内容语文

繁體中文

中文摘要

本文擇時設定MA(Moving Average)短天期(1~10)與長天期(10~60)交叉買進賣出策略,操作標的為元大寶來公司於2014 年10 月31 日發行台灣首檔槓桿型ETF(T50正2)與反向型ETF(T50反1),運用MatLab數學軟體程式跑出最佳之MA技術指標組合。進一步分析槓桿型ETF(T50正2)與反向型ETF(T50反1)之個別績效與操作價值。此外還探討金融海嘯時期對操作策略之影響。研究結果顯示:(1)經由方案一至方案四中依序挑選出來的MA技術指標組合(5,59)、(1,59)、(1,59)、(1,57),即使在考慮交易成本的前提下,績效都可擊敗大盤基準Benchmark。(2)在509個樣本中若只做空,其損益績效僅有3個為正值,且正值最高僅12,607,故即使擇時採用最佳MA技術指標組合操作反向型ETF(T50反1),亦很難獲得明顯的超額報酬。(3)經由綜合判斷出最佳的MA 技術指標組合(1,59),在509個指標組合中,無論方案一至方案四,排名都穩定在前兩名以內,在四種情境中穩定性最佳,且獲利明顯超越大盤基準Benchmark,交易次數為平均每年11.5次,每次平均持有天數為24.0天,頗符合穩健型操作策略之要求。(4)經過適當擇時篩選出的最佳的MA技術指標組合(1,59),實證在台灣操作槓桿型ETF(T50正2),的確可以有效獲得超額報酬。

英文摘要

Buying and selling strategies are set as MA (Moving Average) short-day period (1 to 10) and the long-day period (10 to 60). Operations subject to Yuanta Polaris issued the first leveraged ETF and reversed ETF on October 31, 2014. Applying MatLab, the mathematical software program, run the best combination of technical indicators MA. Further to analyze the leveraged ETF, reversed ETF the individual performance and operational value. And also explore the impact of the Financial tsunami on the operating strategy of the period. The results show that, 1. Even considering transaction costs, the combination of technical indicators MA selected (5, 59), (1, 59), (1, 59) and (1, 57) from case1 to case 4, can beat the market benchmark. 2. In short strategy, among 509 samples, only 3 of them is positive, and the highest profit is only 12,607, so it's difficult to obtain significant excess returns as operating reversed ETF. 3. Through a comprehensive judgment, the best combination of technical indicators is MA (1, 59). It has the best stability of the four cases and ranked within the top three. The average number of transactions per year is 11.7 times and 23.9 holding-days which is in line with the requirements of steady operating strategy. 4. Through the appropriate choice, the best combination of technical indicators MA is (1, 59). It can indeed be effective to obtain excess returns from empirical operating leveraged ETF in Taiwan.

主题分类 人文學 > 人文學綜合
基礎與應用科學 > 基礎與應用科學綜合
工程學 > 工程學綜合
社會科學 > 社會科學綜合
参考文献
  1. 許溪南、何怡滿、張瓊如(2012)。KD 與 MA 技術指標在避險時機之應用:以台指選擇權為例。輔仁管理評論,19(1),27-46。
    連結:
  2. 許溪南、何怡滿、劉泰山(2011)。KD 及 MACD 在避險時機之應用:以台指期貨避險為例。東吳經濟商學學報,72,109-138。
    連結:
  3. 楊朝成、廖咸興(1998)。台灣封閉型基金擇時能力之研究-持股比率分析。臺大管理論叢,9(1),87-112。
    連結:
  4. 元大寶來官方網站https://www.yuantafunds.com/
  5. BenZion, U.,Klein, P.,Shachmurove, Y.,Yagil, J.(2003).Efficiency differences between the S&P 500 and the Tel-Aviv 25 indices: a moving average comparison.International Journal of Business,8(3),265-284.
  6. Bessembinder, H.,Chan, K.(1995).The profitability of technical trading rules in the Asian stock markets.Pacific-Basin Finance Journal,3(2),257-284.
  7. Bollen, N. P.,Busse, J. A.(2001).On the timing ability of mutual fund managers.Journal of Finance,56(3),1075-1094.
  8. 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.
  9. Chang, E. C.,Lewellen, W. G.(1984).Market timing and mutual fund investment performance.Journal of Business,57(1),57-72.
  10. Cumby, R. E.,Modest, D. M.(1987).Testing for market timing ability: A framework for forecast evaluation.Journal of Financial Economics,19(1),169-189.
  11. Fabozzi, F. J.,Francis, J. C.(1979).Mutual fund systematic risk for bull and bear markets: an empirical examination.Journal of Finance,34(5),1243-1250.
  12. Fama, E. F.(1972).Components of investment performance.Journal of Finance,27(3),551-568.
  13. 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.
  14. Jensen, M. C.,Black, F.,Scholes, M. S.(1972).The capital asset pricing model: Some empirical tests.New York, NY:Praeger.
  15. Lai, M. M.,Balachandher, K. G.,Nor, F. M.(2002).An examination of the random walk model and technical trading rules in the Malaysian stock market.Quarterly Journal of Business and Economics,81-104.
  16. Pruitt, S. W.,White, R. E.(1988).The CRISMA trading system: Who says technical analysis can't beat the market?.Journal of Portfolio Management,14(3),55-58.
  17. Ratner, M.,Leal, R. P.(1999).Tests of technical trading strategies in the emerging equity markets of Latin America and Asia.Journal of Banking & Finance,23(12),1887-1905.
  18. Sharpe, W. F.(1966).Mutual fund performance.Journal of Business,39(1),119-138.
  19. Tian, G. G.,Wan, G. H.,Guo, M.(2002).Market efficiency and the returns to simple technical trading rules: New evidence from US equity market and Chinese equity markets.Asia-Pacific Financial Markets,9(3-4),241-258.
  20. Treynor, J.,Mazuy, K.(1966).Can mutual funds outguess the market.Harvard Business Review,44(4),131-136.
  21. 周賓凰、邱湘靈(1996)。美國亞太地區國際型共同基金績效之評估。證券市場發展季刊,8(3),117-145。
  22. 徐清俊、陳欣怡(2004)。基金經理人擇時能力與選股能力-評估國內股票型基金績效。大葉學報,13(2),45-59。
  23. 陳文燦(1987)。證券投資、應收帳款及應收票據之估價會計原則與稅法之比較。今日合庫,149,30-38。
  24. 劉祥熹、林志榮(2000)。碩士論文(碩士論文)。台中市,國立中興大學。
  25. 謝名瑞、段昌文(2000)。臺灣封閉型共同基金績效評估之研究。臺灣銀行季刊,51(4),17-51。