We live in an era of accelerating change. New technologies and behaviors disrupt markets like never before. While understanding a behavior of markets in isolation has always been a challenge, now the problem is much larger. Old methods of analyzing markets in isolation are insufficient, and an understanding of systemic dependencies has become critical. We need new tools and methodologies to view interconnected risks. Network science holds great promise by enabling us to detect hidden patterns in complex data.
Dynamic maps powered by network science can help us sense and respond to emerging risk, and to navigate a rapidly evolving landscape. Maps speak to two universal human superpowers: visual pattern recognition and communication. And indeed, ever increasing complexity calls for better communication and teamwork everywhere.
Furthermore, managing risks within the borders of our own organizations is not enough. This era of systemic risk calls for an evolutionary leap in collective risk management, taking into account ecosystems perspectives.
Our aspiration is to build a community around shared maps as a mass collaboration platform to spark social intelligence.
We look forward to your participation.
To start the conversation, here’s a short video discussing the elevated levels of systemic risk in current global equity markets using FNA Correlations.
Video 1: What happened to global diversification?
Thank you for watching. We look forward to your feedback and ideas in the comments section, or write me at email@example.com to get access to FNA’s interactive global equity dashboard.