英文摘要 |
In this study, we propose a new approach to investigating forecasters’ behavioral biases during business cycles via inspecting and analyzing one-step-ahead forecasting errors. For Taiwan’s economic growth rate, the effects of optimism/pessimism and over-reaction/under-reaction to the news on forecasts during the expansion and contraction periods of real activity are identified in the proposed framework. Overall, our empirical results discover that Taiwan’s government usually under-reacts to the news during business cycles, and tends to be pessimistic, especially in expansions. Besides, these behavioral biases in the post-2001 period are much more significant than those in the pre-2001 period. On the other hand, when comparing the government to the private sector in Taiwan, these behavioral biases affect the private sector’s forecasts much more severely. Moreover, in our in-sample and out-of-sample experiments, the forecast performance improves significantly after correcting the identified behavioral biases of the Taiwan government’s forecast. Because the proposed approach needs only time series data of forecasts, it is easy to implement, and thus might be a good alternative to the existing approaches of economic forecasts. |