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- Paul Glasserman
Paul Glasserman
Paul Glasserman is the Jack R. Anderson Professor Business at Columbia Business School, and he is chair of the Financial and Business Analytics center in Columbia University’s Data Science Institute. Paul has worked in several areas of quantitative finance, including derivatives valuation and hedging, properties of implied volatility, stress testing, systemic risk, swing pricing, and applications of natural language processing in finance. Paul received the 2006 Lanchester Prize for his book, Monte Carlo Methods in Financial Engineering. He is also a past recipient of Risk magazine’s Quant of the Year Award (2007) and the IAQF Financial Engineer of the Year Award (2020).