Of Black Holes and Swans: AI for Context-Aware Quantitative Financial Risk Management

A highly relevant use case of AI in finance is to provision new risk-related insights from data that enable improved decision making by man or machine. A recent example of how to use advanced analytics to foster insight is the creation of the first picture of a black hole from radio signal based on Bayesian updating. Similar approaches help financial market participants with managing the risk of low-probability / high-cost events, colloquially known as black swans. This will be highlighted by using recent examples concerning the quantitative effect of sustainability risk.

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Of Black Holes and Swans: AI for Context-Aware Quantitative Financial Risk Management

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