not deliver satisfactory forecasts. However, when we adopt a time-varying decision rule, the ratio becomes a statistically … statistically significant predictor of equity market corrections. We find that the static decision rule suggested by Buffett does … significant predictor of equity market corrections. This new decision rule is robust to changes in its key parameters: the …

This paper tests the performance of stock market forecasts derived from technical analysis by means of a specific …. Two test statistics are introduced to utilize the indicator. The results show that the forecasts generated from the … indicator would enable investors to escape most of the crashes and catch most of the bull runs. The trading signals provided by …

under IAS 36 Impairment of Assets and IAS 38 Intangible Assets are value relevant and affect analysts' forecasts. Our … (negative) relationship between average disclosure levels and market values (analysts' forecast dispersion). Results, however …, hold more specifically for disclosures related to IAS 36, and these also improve analysts' forecast accuracy. Our findings …

Financial analysts are important players in the marketplace. Analysts' reports, which include forecasts of earnings and …

forecasts by 25.3%. This study may be the first of its kind to assess analyst earnings forecast accuracy at all listed companies … research: First, analyst earnings forecasts globally were 25.3% optimistically wrong, meaning on average, analysts started each …

each method. Last, we propose a combination forecast approach for estimating VaR. Our findings suggest that both the …

We examine the overall and individual analyst performance of 12-month-ahead target price forecasts over the 10-years … forecast errors average 45%. At the end of the 12-month forecast horizon, only 38% of target prices are met, but 64% are met at … some time during the forecast horizon. We find statistically significant but economically weak evidence of persistent …