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...

In the face of accelerating climate change, investors are making capital allocations seeking to decarbonize portfolios by reducing the carbon emissions of their holdings. To understand the performance of portfolio decarbonization strategies and investor behavior towards decarbonization we...