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...

Purpose – The research presented here initiates the process of the detailed analysis of international retail divestment activity through the identification of the volume of global divestment activity and the characteristics of that activity during the timeframe of 1987-2003....