在使用White的真實性檢定和Stepwise Multiple Test消除資料勘誤的問題之後，有些技術分析確實可以擊敗大盤，在1989到2008，DJIA, NASDAQ, S&P 500, NIKKEI 225, TAIEX這五個指數中。但是在較不成熟的市場或較過去的時間內，我沒辦法找到任何強烈的關係在這些市場與超額報酬間。還有學習策略通常沒辦法獲得比簡單策略更好的表現，代表使用過去最好的策略來預測未來並不是個好主意。我同時還發現在熊市比穩定的牛市更有可能擊敗買進持有的策略。 / In five indices, DJIA, NASDAQ, S&P 500, NIKKEI 225, TAIEX, from 1989 to 2008, some technical trading rules indeed can defeat the broad market even after using the White reality check and stepwise multiple test to solve the data snooping problem. But in the markets like less mature ones or the one which was in the older period, I can’t find a strong relation between these markets and the excess return in my research. And the learning strategy usually can’t have a better performance than the simple one, means applying the rule which had a best record to forecast the future may not be a good idea. I also found that it is more likely to beat the buy and hold strategy when there is a bear market but not a steady bull market.

The predictability of the US-based international mutual fund returns has received renewed consideration in recent academic studies. This dissertation extends recent research by exploring the 2,479 daily return observations covering the period from January 4, 1993 to October 31, 2002 for all categories of international mutual funds. This exploration splits the sample, uses the initial sub-sample to investigate return patterns of international mutual funds and develops trading rules based on the predictable return patterns, and tests those rules on the holdout sample. The empirical findings suggest that smart investors may earn higher riskadjusted returns by following daily dynamic trading strategies. The excess returns earned by investors are statistically and economically significant, irrespective of load or no-load mutual funds and even in the presence of various exchange restrictions and regulations.