Machine ethics is the field that studies how ethical behaviour can be accomplished by
autonomous systems. While there exist some systematic reviews aiming to consolidate the …

We present a lightweight approach to sequence classification using Ensemble Methods for
Hidden Markov Models (HMMs). HMMs offer significant advantages in scenarios with …

We investigate the relationship between market liquidity and spoofing, a manipulative
practice involving the submission of deceptive orders aimed at misleading other traders …

Tools to identify and characterise the various types of agents in financial markets are
essential for both regulators and practitioners. We introduce a methodology that combines …

Financial benchmarks estimate market values or reference rates used in a wide variety of
contexts, but are often calculated from data generated by parties who have incentives to …

The financial trading industry is amid a technological (r) evolution, fuelled by Artificial
Intelligence (AI) and its subfield of Machine Learning (ML). As AI-based algorithmic trading …

Access to financial tabular data is often restricted owing to strict regulations surrounding
personal information. Despite the advanced generative capabilities of large language …