EP10: Sean Anthonisz: Risk and the rules of finance

This podcast episode explores the intersection of academia and finance, the role of statistical analysis and machine learning in decision-making, uncertainty and probability in financial markets, and the challenges and opportunities in fostering collaboration between academia and the private sector in finance. Takeaways • Statistical models and AI should be used with caution, as they can perpetuate biases and distort market realities. • Collaboration between academia and the private sector in finance can foster innovation and promote the development of novel investment strategies. • The financial industry needs to strike a balance between relying on statistical analysis and incorporating other sources of information in decision-making processes. • Machine learning has tremendous potential to transform the financial industry but carries risks, such as bias encoding and automation-related societal challenges.