Firms whose quarterly earning announcements closely meet the most recent analyst consensus forecast enjoy higher long-lasting future returns. These firms tend to be larger and are followed by more analysts, whose forecasts have a smaller dispersion. While the proportion of past quarters when...

This study examines the relative importance of percentage change in price-to-earnings ratio (PE), percentage change in dividend yield (DY) and change in aggregate Tobin's q ratio (∆TBQ) in forecasting returns on the S&P 500 (SP). The results from the variance decomposition analysis of...

We study the role of analysts and options traders in the information transmission between options and stock markets. We first show that the predictive power of option implied volatilities (IVs) on stock returns more than doubles around analyst-related events, indicating that a significant...

Recent findings indicate that macroeconomic survey forecasts are anchoring biased and therefore are inefficient. However, despite highly significant test coefficients a bias adjustment does not improve forecasts' quality. We find that the cognitive bias is a statistical artifact because the...

This study conducts a high-frequency technical analysis of individual stocks listed on the Tokyo Stock Exchange. We propose novel technical rules that derive the timing of trades according to traditional systemic risks—such as shock-propagation, quote-stuffing, and tail risks—measured by...

We conduct a fundamental analysis of detailed financial information to predict earnings. Since 2012, all U.S. public companies must tag quantitative amounts in financial statements and footnotes of their 10-K reports using the eXtensible Business Reporting Language (XBRL). Leveraging machine...

We examine the adoption effect of ASC 606 on revenue informativeness, analyst forecast dispersion, and forecast errors. We find that the adoption of ASC 606 is associated with increases in revenue informativeness but decreases in analyst forecast accuracy and consensus. Such adoption effects are...

Recent findings indicate that macroeconomic survey forecasts are anchoring biased and therefore are inefficient. However, despite highly significant test coefficients a bias adjustment does not improve forecasts' quality. We find that the cognitive bias is a statistical artifact and that the...

I provide evidence that investors overweight analyst forecasts by demonstrating that prices do not fully reflect predictable components of analyst errors, which conflicts with conclusions in prior research. I highlight estimation bias in traditional approaches and develop a new approach that...

The condensed research article presents some innovative research results on the venture capital optimal investment portfolio strategies selection in the diffusion-type financial systems in the imperfect highly volatile global capital markets with the incomplete information, which are...