摘要(英) |
This study investigates whether investors can utilize financial statement information to identify investment targets with a higher likelihood of future abnormal returns. The approach involves summarizing the six financial statement information signals into a "predicted earnings increase score”, which predicts the likelihood of future abnormal returns one year ahead. Furthermore, I perform a regression analysis on abnormal stock returns by utilizing six financial statement information signals and implement a stock selection trading strategy. The findings indicate that the predicted earnings increase score is not entirely applicable to the Taiwanese stock market. The regression model utilizing the six financial statement information signals also does not significantly enhance the effectiveness of stock selection for both current and future investors, thereby failing to substantially improve profit forecasting accuracy and stock recommendation precision. Over the past six years, the hedge portfolio consisting of the best-performing investment targets based on the predicted earnings increase score achieves an average annual abnormal return of 19.31%, while the best-performing hedge portfolio based on the regression analysis model attains an average annual abnormal return of 8.03%. |
參考文獻 |
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