This paper applies unsupervised machine-learning techniques to a set of nominal and industrial sector production variables to examine the convergence of European Monetary Union (EMU) member countries, focusing on macroeconomic and structural homogeneity. Our findings reveal distinct clusters of...

In an experiment on the large language model GPT-4o, a supplier always makes a higher profit if it replaces uniform contract terms with a set of terms between which the customer may choose. The extra profit results from price discrimination. There is a first order and a second order effect. The...

This study employs a variety of machine learning models and a wide range of economic and financial variables to enhance the forecasting accuracy of the Korean won-U.S. dollar (KRW/USD) exchange rate and the U.S. and Korean stock market returns. We construct international asset allocation...

Funding agencies play a pivotal role in bolstering research endeavors by allocating financial resources for data collection and analysis. However, the lack of detailed information regarding the methods employed for data gathering and analysis can obstruct the replication and utilization of the...