We examine how financial analysts use the information contained in TCFD aligned climate change disclosures in their forecasts, using firm-level textual climate change disclosures. The results show that climate change disclosures are associated with reduced forecast error and dispersion. This...

We investigate the disciplining role of analysts’ revenue forecasts on firms’ discretionary revenues. We analyze quarterly data and three-year window around the initiation of analysts’ revenue forecasts reported in IBES. Our study shows a decrease in the magnitude of discretionary revenues...

This paper investigates the cross-sectional predictive ability of text-based factors in the cryptocurrency market --an important asset class for retail and institutional investors. We employ Bidirectional Encoder Representations from Transformers (BERT) topic modeling to analyze news articles...

Random changes in firms' stock index membership have important implications on sell-side analysts' career outcomes. Covered firms moving from the bottom of Russell 1000 to the top of Russell 2000 significantly increase an analyst's likelihood of moving to a high-status broker or receiving a...

This paper screens for skilled analysts and examines the impact of skilled analysts on stock price crash risk. The evidence suggests that skilled analysts reduce stock price crash risk, while analysts who are unskilled increase the risk of stock crashes. Further research shows that skilled...

This paper examines price effects related to witching days in the US stock market using both weekly and daily data for three major indices, namely the Dow Jones, S&P500 and Nasdaq, over the period 2000-2021. First it analyses whether or not anomalies in price behaviour arise from witching by...

This study investigates the relationship between the comprehensibility of a firm's annual report and its stock return synchronicity in the Indian market. The study employs the readability of annual reports as a measure for the cost of information processing. The findings suggest that firms with...

The study investigated the effectiveness of technical analysis indicators in trading spot exchange rates of emerging economies' currencies under integration with artificial neural networks (ANN) and the quantitative testing of these indicators' success in this matter with the goal of...