Large-Scale Asset Purchases can impact the price of securities directly, when securities are targeted by the central bank, or indirectly through portfolio re-balancing of private investors. We quantify both the direct and the portfolio re-balancing impact, emphasizing the role of investor...

When Bayesian risk-averse investors are uncertain about their assets' cash flows' exposure to systematic risk, stock prices react more to news in downturns than in upturns, implying higher volatility in downturns and negatively skewed returns. The reason is that, in good times, less desirable...

This paper examines the pattern of order aggressiveness, and the determinants of this pattern for institutional and retail brokers in the interval around monetary policy announcements. Utilizing a high-frequency dataset, with broker identifiers for each order submitted on the ASX over the period...

We present a new approach and set of dictionaries for the analysis of sentiments in financial and business news headlines at the firm level. The proposed Polarity Pattern Approach (PPA) captures the deep structure of context and syntax and reduces measurement errors evident in previous...

This study provides evidence that high-frequency traders (HFTs) identify patterns in past trades and orders that allow them to anticipate and trade ahead of other investors' order flow. Specifically, HFTs' aggressive purchases and sales lead those of other investors, and this effect is stronger...

We solve analytically a pure exchange general equilibrium model with a continuum of agents that agree to disagree on how they interpret information. Disagreement fluctuates with information quality and the disagreement model is estimated using data on professional forecasts. We fi nd that...

We adopt a machine learning-based algorithm to identify direct and indirect company mentions in newspaper articles. We identify the importance of properly matching text segments to their respective companies when estimating human-perceived newspaper sentiment. Previous research has developed...

Investors who use biased information from news media subsequently tend to make irrational decisions about acquiring firm-specific information compared to rational expectations. This model of information acquisition yields testable predictions that are verified by using a novel dataset. First,...

Investors demand higher premiums from firms whose future performance in R&D is difficult to evaluate. We construct a measure that captures investors' evaluation of a firm's R&D information quality (RDIQ) by linking a firm's historical innovation input (R&D expenditures) and innovation outcome...

This study examines the role of expectations management in explaining why firms with high dispersion in analyst forecasts experience relatively low future stock returns. We first demonstrate that the negative relation between dispersion and returns is concentrated around earnings announcements...