We measure the information content of monthly analyst consensus forecasts for one-year-forward earnings per share (EPS) based on two well-established price discovery measures drawn from the area of market micro-structure research. Employing a 36-year sample of large US companies listed in the...

The same firm characteristics that help explain cross-sectional variation in expected stock returns, such as size, book-to-market and the earnings yield, also help explain cross-sectional variation in returns to trading in option-implied stock return volatility. This empirical phenomenon is...

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...

Tests of excessive volatility along the lines of Shiller (1981) and Leroy and Porter (1981) count among the most convincing pieces of evidence against the validity of the time-honored efficient market hypothesis. Recently, using Shiller s distinction between ex-ante rational (fundamental) price...

Appendix is available at: "https://ssrn.com/abstract=3395415" https://ssrn.com/abstract=3395415Identifying firm connections by shared analyst coverage, we find that a connected-firm (CF) momentum factor generates a monthly alpha of 1.68% (t = 9.67). In spanning regressions, the alphas of...

Full paper is available at: "https://ssrn.com/abstract=3015582" https://ssrn.com/abstract=3015582Identifying firm connections by shared analyst coverage, we find that a connected-firm (CF) momentum factor generates a monthly alpha of 1.68% (t = 9.67). In spanning regressions, the alphas of...

Stock market prediction has always caught the attention of many analysts and researchers. Popular theories suggest that stock markets are essentially a random walk and it is a fool’s game to try and predict them. Predicting stock prices is a challenging problem in itself because of the number...

Our study investigates structural changes in the market P/E ratio and shows how structural changes affect long-term stock market returns. Using the cumulative sum control chart and the Bai-Perron algorithm, we identify multiple structural breakpoints in the market P/E ratio and find that those...

We test the implications of anchoring bias associated with forecast earnings per share (FEPS) for forecast errors, earnings surprises, stock returns, and stock splits. We find that analysts make optimistic (pessimistic) forecasts when a firm's FEPS is lower (higher) than the industry median....

This paper examines the relation between the quality of forecasts and the types of analysts' stock recommendations. Using hand-collected data on stock recommendations issued for companies listed on the Warsaw Stock Exchange (WSE) in the period 2005–2012, we find that, despite analysts' clear...