In March 2020, we published a paper touching upon the importance of data analytics during times of high market volatility. Since then, the global pandemic resulted in an economic crisis, followed by the quickest market rebound in our history. Over the last months, developments have gone fast and the world is currently facing a second ‘wave’ of infections, which triggers new restrictions and economic consequences. To reflect on the effects of the COVID-19 pandemic in the March issue, two industry focused cases on bankruptcy of hard-hit, listed businesses were presented. These volatile times are forcing professionals to be on top of the potential emerging risks even more in order to tackle them efficiently.
This paper reflects on the events that happened in 2020, and how Natural Language Processing (NLP) and Machine Learning helps being on top of an emerging risk for one party, while creating investment opportunities for others.
In short, it shows;
Companies that excel in navigating through high market volatility are able to respond quickly to new available information. Having swift access to the right information and the competence and tooling to work with the data is key in every sector, whether that is how we adapt our healthcare systems, restructure business operations or supply chain. Next to this, it allows for choosing alternative approaches to how we manage risk and create alpha going forward – which, in these unprecedented times, has become more important than ever.
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