In this research I empirically study the effects of information acquisition by investors or traders on analysts' forecast bias. Based on the theoretical literature on sell-side analysts, I argue that forecast bias is correlated to investors' information gathering, in two opposite directions. On...

We investigate whether investor sentiment affects the research quality of sell-side analysts. As institutional investors regard industry knowledge as the most important element of sell-side service, we use it to proxy for sell-side research quality. Using textual analysis to measure the industry...

Recent literature documents that the issuance of analyst recommendations tends to coincide with important corporate events, but offers mixed evidence on whether such recommendations have added value. In this paper, we use large discontinuous stock price changes, known as jumps, to proxy for...

This study quantifies firm-specific operating exposure to cumulative unexpected weather variations and examines how it affects earnings predictability and analysts’ forecasts. Two competing hypotheses are tested. The reduction in earnings seasonality hypothesis posits that operating weather...

Quantitative research analysts (Quants) produce in-depth quantitative and econometric modeling of market anomalies to assist sell-side analysts and institutional clients with stock selection strategies. Quants are associated with more efficient analyst forecasting behavior on anomaly predictors...

Measuring the information environment of firms using analyst (price) forecast bias and forecast dispersion before listing, we empirically examine the interactive influence of the information environment and market-wide sentiment on the initial returns of initial public offerings (IPOs). We find...

We use a dataset of sell-side analysts' scenario-based equity valuation estimates to examine whether analysts can assess the state-contingent risk surrounding a firm's fundamental value. We find that the spread in analysts' scenario-based valuations captures the riskiness of operations and...

Using a novel database, we show that the stock-price impact of analyst trade ideas is at least as large as the impact of stock recommendation, target price, and earnings forecast changes, and that investors following trade ideas can earn significant abnormal returns. Trade ideas triggered by...

We constructed forecasts of earnings forecasts using data on 406 firms and forecasts made by 5419 individuals with on average 25 forecasts per individual. We verified previously found predictors, which are the average of the most recent available forecast for each forecaster and the difference...

Using hand-collected information, we find that analysts who own stock in a company they follow make more informative recommendations and exert more effort in covering the company. However, we also find that analysts with stock ownership issue more optimistic target price forecasts. These...