Using text from 200 million pages of 13,000 US local newspapers and machine learning methods, we construct a 170-year-long measure of economic sentiment at the country and state levels, that expands existing measures in both the time series (by more than a century) and the cross-section. Our...

Our study investigates structural changes in the market P/E ratio and shows how structural changes affect long-term stock market returns. Using the cumulative sum control chart and the Bai-Perron algorithm, we identify multiple structural breakpoints in the market P/E ratio and find that those...

We compile a comprehensive dataset of adverse cyber events experienced by U.S. firms. We then categorize cyber incidents by their detrimental impacts on firms' assets and operations and show that firms suffer significant value losses across multiple cyber categories. These losses also spill over...

Purpose - The present research aims to examine a range of momentum trading strategies for the tourism and hospitality sector. Design/methodology/approach - The paper followed the methodology of Jegadeesh and Titman (1993) to construct the portfolios. In this methodology, all portfolios were...

This paper identifies robust determinants of US stock price movements in the economic shadow of the COVID-19 crisis and in the presence of model uncertainty, using several influential factors highlighted in relevant research. Our investigation performs an extreme bounds analysis (EBA), a global...