Sudip Gupta

Professor Sudip Gupta is an Associate Professor of Finance at Johns Hopkins Carey Business School. His current research and teaching interests are in the areas of Auctions, Big Data-Machine Learning, Corporate Finance, ESG and Fintech. He is an award-winning teacher, and his research has appeared in top academic journals. He has written papers in the areas of credit derivatives, disclosure, treasury auctions, IPOs, nowcasting with alternative data, alternative credit rating, ESG ratings and portfolio formation with alternative data etc.    

Professor Gupta is a data hackathon champion and consults various multinational financial corporations and government committees. He has served as a consulting expert to various international organizations and regulatory authorities in various antitrust and financial litigations. His consulting areas and expertise include bid rigging, financial class action litigations, damages, market design, merger simulations, credit derivatives, fintech & social network, machine learning and textual analysis etc. He was an expert in multiple high profile financial class action litigations.

Prior to joining Carey, Professor Gupta was a faculty and director of the top ranked MSQF program of the Gabelli School of Business (GSB), Fordham University, where he had brought big data-machine learning in finance into the MS curriculum. Previously, Dr. Gupta was a full-time faculty and had taught at Indiana University’s Kelley School of Business, Indian School of Business (ISB), New York University’s Stern School of Business, and the University of Maryland’s Smith School of Business, in the areas of corporate finance, econometrics, fintech, investments, and machine learning at both undergraduate and graduate levels. He was the recipient of the Dean’s Impact award for excellence and high impact in research, teaching, and service at GSB. He has a PhD in economics from the University of Wisconsin, Madison.  
 

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