本文使用避險基金與市面常見之技術分析共26種交易策略,檢視台灣證券交易所自1971至2007.7.31所有上市上櫃股票,研究26種交易策略所建立之交易法則之抗跌助漲效能及其是否優於台灣加權股價指數買入持有報酬。本研究交易策略除採用過去文獻常用之技術分析外,另加入避險基金式技術分析;研究方法按各交易策略的不同,採用固定參數與蒙地卡羅法(Monte Carlo Simulation)進行最適參數之模擬。研究發現,填補缺口、移動平均(MA)、動量指標(MTM)與變速率(ROC)四種交易策略獲利能力最佳。另外,與財務理論及實證研究相符的是交易策略具有漲多跌少的現象且報酬波動度越大越能為投資者帶來獲利。最後,在亞洲金融風暴發生後策略法則變的相對有用,這說明技術指標的確具有抗跌的效用。
The study aims to figure out twenty-six typical technical trading strategies and hedge funds. The data applied all stocks from Taiwan Stock Exchange for the period 1971 to 2007.7.31. This study want to research of the reinforcing gaining and anti-falls effect, and examing the performance of trading rules and the returns of the TSEC weighted index. The research methods of trading rules were not only included former studies but also hedge funds. We use fixed parameters and Monte Carlo Simulation to simulate optimal parameters which depend on the difference of trading rules. The results show that the profitability of Filling Cap, Moving Average, Momentum, and Rate of Change were better than the other trading rules. Besides, the reinforcing gaining and anti-falls effect of trading rules and high stock return volatility generally allow investors to own higher expected returns. In many instances, the trading rules serve as a brake to stop loss for loser stocks after Asian Economic Storm.