This report discusses the preliminary results for the analysis of the Baltic Dry Index (BDI) using data mining techniques. The overall aim of the project is to investigate ways to identify trends or stages in the BDI associated with economic cycles, as well as other relationships with economic...

The COVID-19 pandemic itself constitutes an environment for people to experience the potential loss of control and freedom due to social distancing measures and other government orders. Variety-seeking has been treated as a mechanism to regain a sense of self-control. Using Machine Learning...

Modern financial management is largely about risk management, which is increasingly data-driven. The problem is how to extract information from the data overload. It is here that advanced statistical and machine learning techniques can help. Accordingly, finance, statistics, and data analytics...

In this paper we face the fitting versus forecasting paradox with the objective of realizing an optimal Early Warning System to better describe and predict past and future sovereign defaults. We do this by proposing a new Regression Tree-based model that signals a potential crisis whenever...

1. Introduction : research methods for large databases / Mark Casson and Nigar Hashimzade -- 2. Long-run price dynamics : the measurement of substitutability between commodities / Mark Casson, Nigar Hashimzade and Catherine Casson -- 3. The quantity theory of money in historical perspective /...