The COVID-19 pandemic has exerted severe impacts on the socioeconomic fabric of worldwide countries, spreading financial and economic instability, affecting sentiment of market participants and institutions, and causing an unprecedented epidemic-related economic crisis. Interconnectedness is a...

How much the largest worldwide companies, belonging to different sectors of the economy, are suffering from the pandemic? Are economic relations among them changing? In this paper, we address such issues by analysing the top 50 S\&P companies by means of market and textual data. Our work...

The issue of modelling observations generated in matrix form over time is key in economics, finance and many domains of application. While it is common to model vectors of observations through standard vector time series analysis, original matrix-valued data often reflect different types of...

Modern time series analysis is facing the increasing availability of multidimensional data generated over time. In finance, co-movements can be observed, for instance, across different indicators (e.g.\ returns, volatility and sentiment) belonging to the same asset, as well as among indicators...