Using Alternative Data to Track the Coronavirus

The transcript discusses the economic impact of a virus, focusing on tracking methods and data analysis. It highlights the use of alternative data, such as credit card transactions and news analysis, to understand the virus's effects on economies like China, the US, and Europe. The conversation also covers strategies for gaining an investment edge, future-proofing these strategies, and the challenges of data interpretation, emphasizing the importance of using a mix of datasets to build a comprehensive picture.

What is the significance of combining multiple datasets in economic analysis?

How can continual research help in future-proofing investment strategies?

What are the risks associated with having too much data in economic analysis?