This seminar introduces students to practical cases of AI use in the markets through presentations of articles written by academics and data-driven projects led by industrials. The main topics covered are data manipulation (stock returns, fixed income returns, futures contracts), risk management, fundamentals, and standard risk factor modeling. Students critically examine key articles on signals, portfolio construction, and order book modeling, then replicate the results using real financial data.
