Purpose: The Group Method of Data Handling (GMDH) neural network has demonstrated good performance in data mining, prediction, and optimization. Scholars have used it to forecast stock and real estate investment trust (REIT) returns in some countries and region, but not in the United States (US)...

We examine the relation between the presence of U.S. government as a major customer and a supplier firm's loan contract terms, using major corporate customers as a benchmark. We find that firms with major government customers are associated with a lower number of covenants and a lower likelihood...

We propose a new predictor - the innovation in the daily return minimum in the U.S. stock market () - for predicting international stock market returns. Using monthly data for a wide range of 17 MSCI international stock markets during the period spanning over half a century from January 1972 to...

We study carbon reduction pledges of publicly traded U.S. oil exploration and production (E&P) companies. Of the 69 firms in the sample, 18 have committed to net-zero carbon targets, 14 have announced significant emissions cuts, while the remaining 37 firms have not announced any formal...