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Finance

Associate Professor of Finance

Portrait of Nicolas Crouzet, Faculty at the Kellogg School of Management

Nicolas Crouzet joined the Kellogg School of Management in 2014. He has a B.Sc. in Engineering from Ecole Polytechnique (2008) and a PhD from Columbia University (2014). His research focuses on the macroeconomic and financial determinants of corporate investment.

About Nicolas
Research interests
  • Corporate Investment
  • Corporate Finance
  • Macroeconomics.
Teaching interests
  • Corporate Finance
  • Macroeconomics.
  • Ph.D., 2014, Economics, Columbia University
    M.A., 2010, Economics, Columbia University
    B.Sc., 2008, Applied Mathematics, Ecole Polytechnique
  • Associate Professor, Finance, Kellogg School of Management, Northwestern University, 2018-present
    Assistant Professor, Finance, Northwestern University, Kellogg School of Management, 2014-2018
  • Dimensional Fund Advisors Prize for best capital markets published in the Journal of Finance in 2023 (first prize)., American Finance Association
    Best Paper in Individual Investing and Household Finance award at the 2021 Midwest Finance Meetings, Midwest Finance Association
    Wueller Award for best graduate teaching assistant, Columbia University, 2011
    Harris Prize for best 2nd year paper, Columbia University, 2010
    Doctoral Fellowship, Doctoral Fellowship, 2008-Present
  • Associate Editor, Review of Financial Studies, 2024

Corporate Finance III (FINC-586-3)

This course is a topics course in Corporate Finance and Financial Frictions, with some coverage of macro-finance models. The course is mainly about dynamic models, and will cover (1) dynamic optimal cash holdings, (2) dynamic principal-agent models, (3) dynamic models of corporate bankruptcies, (4) search frictions (directed and undirected), (5) mean-field games in which heterogeneity matters, including some basic consumption-savings model and a model of dynamic adverse selection in mortgage markets, (6) dynamic intermediation models, and (7) if time allows some more recent advances on the border between finance and macroeconomics. The focus is on developing the tools for dynamic stochastic models of frictions.