Research question: In 2010, the governing body of European football, UEFA, approved 'Financial Fair Play' regulations. Designed to encourage financial discipline, promote stability and foster competitive balance, they focus on a financial breakeven constraint. We analyse the impact of such...

This paper examines the impact of Kyoto Protocol target setting regime on environmental efficiency and carbon shadow pricing. We extract shadow price estimates and efficiency scores from a comprehensive dataset of 125 countries in the first Kyoto commitment period (2008-2012) using a stochastic...

We consider the challenge of teaching open science analytics in finance in the computer age. There is a crisis of confidence in science; especially finance. We argue that the unstoppable algorithmic transformation of financial services and the nascent field of financial machine learning provide an...

With the advent of Big Data, managing large-scale portfolios of thousands of securities is one of the most challenging tasks in the asset management industry. This study uses an evolutionary multi objective technique to solve large-scale portfolio optimisation problems with both long-term listed...

Time series anomaly detection plays a critical role in various applications, from finance to industrial monitoring. Effective models need to capture both the inherent characteristics of time series data and the unique patterns associated with anomalies. While traditional forecasting-based and...

The global financial crisis underscored the importance of regulation and supervision to a well-functioning banking system that efficiently channels financial resources into investment. In this paper, we contribute to the ongoing policy debate by assessing whether compliance with international...

With the advent of Big Data, managing large-scale portfolios of thousands of securities is one of the most challenging tasks in the asset management industry. This study uses an evolutionary multi objective technique to solve large-scale portfolio optimisation problems with both long-term listed...

Time series anomaly detection plays a critical role in various applications, from finance to industrial monitoring. Effective models need to capture both the inherent characteristics of time series data and the unique patterns associated with anomalies. While traditional forecasting-based and...