This paper investigates the impact of news media information on improving short-term GDP growth forecasts by analyzing a large and unique corpus of 12.4 million news articles spanning from 1991 to 2018. We extract business cycle-related sentiment from each article using an annotated dataset from...

In the fast-paced realm of technological evolution, accurately forecasting emerging trends is critical for both academic inquiry and industry application. Traditional trend analysis methodologies, while valuable, struggle to efficiently process and interpret the vast datasets of today's...

This paper investigates the effectiveness of the media transmission channel of the Federal Reserve (Fed) communication with the general public. Spanning a 20-year period (2003-2023), around 5,400 Fed communication documents and 333,000 articles from USA Today are analyzed. A positive and...

This paper investigates the effectiveness of the media transmission channel of the Federal Reserve (Fed) communication with the general public. Spanning a 20-year period (2003-2023), around 5,400 Fed communication documents and 333,000 articles from USA Today are analyzed. A positive and...

This paper investigates the impact of news media information on improving short-term GDP growth forecasts by analyzing a large and unique corpus of 12.4 million news articles spanning from 1991 to 2018. We extract business cycle-related sentiment from each article using an annotated dataset from...