Sudip Gupta

Dr. 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, ESG and Fintech. He is an award-winning teacher, and his research has appeared in top journals. He has written papers in the areas of alternative credit rating using machine learning, credit derivatives, treasury auctions, nowcasting with alternative data, ESG ratings and portfolio formation with alternative data etc.

Prior to joining Carey, Prof Gupta was a faculty and director of the top ranked MSQF program of the Gabelli School of Business, 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 has received awards for both research and teaching. He has a PhD in economics from the University of Wisconsin, Madison.

Prof Gupta is a data hackathon champion and consults various multinational financial corporations and government committees. He also served as a consulting expert for multiple antitrust and financial litigations.

Education

• PhD: University of Wisconsin, Madison
• Junior Research Fellow: Indian Statistical Institute
• Master’s: Delhi School of Economics
• Master’s: University of Wisconsin, Madison

Research interests

• Auctions
• Corporate finance
• Credit derivatives
• Debt markets
• Mergers and acquisitions
• Merger simulations

Publications

• “Mispricing and Arbitrage in CDS Auctions” (with Rangarajan K Sundaram), Journal of Derivatives, Summer 2015, Volume 22, Number 4.
• “Inventory Effects, The Winner’s Curse and Bid Shading in CDS Auctions Outcomes” (with Rangarajan K Sundaram) Winter 2015, Journal of Derivatives
• “A Simplified Framework to Simulate The Impact of a Merger”, 2011, Review of Market Integration, Lead Article, Vol 3, pp. 1-20
• “Auctions of Mortgage Backed Securities”, 2008, Economists Ink
• “Simulating The Effects of a Merger” 2007, ISB Insight
• “The Widening Scope of Simulation Analysis” Winter 2006, Economists Ink
• “Hard and Soft Information: Firm Disclosures, SEC Letters and the JOBS Act” (with Ryan Israelsen)
• “Why and When to Go Public: Evidence from Structural Estimation” (with John Rust)
• “Competition and Underwriting in Government Debt Auctions” (with Suresh M Sundaresan and Rangarajan K Sundaram)
• “Strategic Overbidding for Toehold in Dynamic Auctions: Structural Estimation of the Synergy Effect”
• “Creditor Rights During a Financial Crisis: An Analysis using Bank Loan Covenants” (with Anurag Singh and K Subramanium)
• “Determinants of Sovereign CDS” (with Rangarajan K Sundaram)
• “Informativeness of Orders in the Limit Order Market” (with Pradeep Yadav & Vikas Raman)
• “Corporate Debt Restructuring” (with Viral Acharya)
• “Dealer Inventory, Bank Stress Tests and Liquidity of Corporate Bonds: Implications for Dodd-Frank Act” (with Sudheer Chava)
• “Bank Loan Covenants and the JOBS Act” (with Matt Billett)