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From Academia to Wall Street: A Journey in Predictive Modeling
This chapter explores the transition of mathematicians from academia to finance, highlighting their unique approaches to predicting outcomes in complex systems through analogies drawn from baseball and investing. It addresses the skepticism faced by these academics as they navigated funding challenges and the cultural resistance within the math community towards a career in trading. The narrative culminates in their innovative strategies that blend fundamental analysis with early computer technology, emphasizing both the limitations and potential of AI in financial decision-making.