This paper explores the impact of bank transparency on market efficiency by comparing banks that disclose supervisory capital requirements to those that remain opaque. Due to the informational content of supervisory capital requirements for the market this opacity might hinder market efficiency....

This study investigates the relationship between news delivered via the QUICK terminal and stock market behavior. Specifically, through an evaluation of the performance of investment strategies that utilize news index created based on its scores indicating positive or negative sentiment, we...

Between 2017 and 2024, the main national stock market indices rose in the US and the five largest European economies. However, the average daily performance of all six indices turns from positive to negative when weighted by daily media coverage. A case in point is the average daily performance...

This study investigates whether and how managers respond to major negative news by increasing the information content of their MD&A disclosures. We predict that major negative news influences managers' disclosure decisions by increasing legitimacy pressures and reducing opportunities to obscure...

We combine modern methods from Speech Emotion Recognition and Natural Language Processing with high-frequency financial data to precisely analyze how the vocal emo- tions and language of ECB President Mario Draghi affect the yields and yield spreads of major euro area economies. This novel...

We demonstrate the asset pricing implications of investors' belief heterogeneity in the frequency of news arrival and its joint impact with heterogeneous beliefs about news content. Investors trade volatility derivatives against each other to speculate on the rate of news arrival: greater...

We propose a theoretical model in which uninformed consumers update their beliefs about the health effects of sugar in soft drinks through two sequential policies: an information campaign and a sugar tax. The information campaign is modeled as a costless signal (cheap talk), while the tax policy...

Most news stories contain both granular quantitative information and coarse categorizations. For instance, company earnings are typically reported as a dollar figure alongside categorizations, such as whether earnings beat or missed market expectations. We study the hypothesis that when a...

This paper introduces a business cycle model that integrates financial markets and endogenous financial volatility at the Zero Lower Bound (ZLB). We derive three key insights: first, central banks can mitigate excess financial volatility at the ZLB by credibly committing to future economic...

This paper examines the impact of complex yet precise language, particularly financial jargon, on information dissemination and ultimately market efficiency. As a natural laboratory, we analyze the information exchanged during earnings conference calls, where we instrument jargon with the Plain...

Announcing a large fiscal stimulus may signal the government's pessimism about the severity of a recession to the private sector, impairing the stabilizing effects of the policy. Using a theoretical model, we show that these signaling effects occur when the stimulus exceeds expectations and are...

We examine how macroeconomic news affects firms' extensive-margin price-setting plans in a survey that we rolled out with randomized daily invitations. These plans predict future realized inflation. Using a high-frequency event study framework, we find that inflation and employment surprises...

This paper investigates the economic impact of technological innovation, focusing on generative AI (GenAI) following ChatGPT's release in November 2022. We propose a novel framework leveraging large language models to analyze earnings call transcripts. Our method quantifies firms' GenAI exposure...