I work in the Finance Department, University of Minnesota where I am a Professor of Finance.
E-mail: murra280@umn.edu
Something Big Is Happening
Recently (February 12, 2026) my students asked me about this blog post: (https://shumer.dev/something-big-is-happening). I found it interesting, but the economics were not entirely clear to me. As a result I decided to reinterpret that blog post using something very close to what we were studying in class. We are studying the version of the Romer growth from chapter 6 in Jones’ Macroeconomics textbook. The result of the reinterpretation is the following note. A Professor Reads A Blog and Tries to Understand It.
If this had been a normal paper instead of a note for my class I might have called it something like: Growth in the Age of Artificial Intelligence: Endogenous Knowledge Creation with Self-Improving AI. That title probably gives you a better idea of what it contains. But for a paper I would first need a much better understanding of that literature than I currently have.
Back to Shumer’s point. In the model if the AI generated growth rate is too high, it is possible that the model collapses, i.e. `a singularity’. But that singularity is a modeling issue, not an issue about the world. If ideas are sufficiently plentiful and they are advancing fast enough, then they are no longer the limiting factor. Some other factor becomes the binding constraint. I am not sure about the origin of that observation. But I associate it with Jones and Tonetti: (https://web.stanford.edu/~chadj/JonesTonetti_Automation.pdf)
What seems entirely clear is that the advances in AI in late 2022 and again much more recently have been genuinely impressive. That affects both research and teaching. I wonder if the University systems as we have known them for more than a century can adapt well enough to survive? What will scholarship be like when everyone has instant access to machines that are massively smarter than we are? In chess they have the same issue. They responded by separating human and computer competitions. But for advancing scholarship I don’t think that solution makes much sense.
Virtual Corporate Finance Seminars
In early 2020 due to Covid-19, some of us were concerned about the potential impact on academic seminars and conferences in corporate finance. As a result Gordon Phillips (Dartmouth), Max Maksimovic (Maryland) and I, created a virtual weekly seminar series for corporate finance. It started May 2020, and we generally run during the teaching terms - except during the recruiting months. Michael Weisbach (OSU) joined us as an organizer in 2022. Seminar schedules, see: https://sites.google.com/site/uscfom/weekly-virtual-seminar
Midwest Finance Association
I was the President of the MFA in 2017-2018 and I still have a soft spot for the organization, see https://midwestfinance.org/.
My MFA Presidential address from San Antonio 2018 was about the impact of Machine Learning on finance. This is a topic of particular interest to me since Is All That Talk Just Noise? The Information Content of Internet Stock Message Boards, 2004 Journal of Finance (with Werner Antweiler).
Recent papers
Empirical Corporate Capital Structure, November 2022 (with Vidhan Goyal). Forthcoming, Handbook of Corporate Finance (D. Denis editor).
The Effect of Taxation on Corporate Financing and Investment (with Hong Chen) 2022, Review of Corporate Finance Studies, 11, 47 - 87, Editorial Paper Spolight by Uday Rajan
Financing Corporate Growth (with Ali Sanati) 2021, Review of Financial Studies, 34, 4926 - 4998, Presentation slides, 2020 Virtual Corporate Finance
Working papers
Corporate Governance and the Coordination Channel of Debt Capacity 2026
What Do Treatment Effects Measure? Marginal Responses and Financial Constraints in Corporate Finance 2026
The Changing Structure of Corporate Profits 2024 January, (with Jing Gao)
Monetary Policy and Corporate Investment: The Equity Financing Channel 2024 January, (with Beyhaghi, McLemore, and Sanati).
Targets and the Trade-Off Theory of Capital Structure, July 2023 (with Hong Chen)
Behavioral Machine Learning? Computer Predictions of Corporate Earnings also Overreact, May 2023 (with Jing Gao and Keer Yang) Presentation Slides, 2023 Minnesota
Debt Financing Investment in the Long Run, 2021 (with Hong Chen), Presentation slides, 2021 Maryland
Discussions at conferences
2020 NFA, discussion of Halling, Yu and Zechner, The Dynamics of Corporate Debt Structure
Teaching materials
Masters Level (MSF and MBA)
Machine Learning for Finance, MSF 2021, 2022
Finance in the Macroeconomy, MSF 2021, 2022, 2023
PhD Level
Empirical Corporate Finance, PhD 2020, Syllabus 2022, Syllabus 2023 Syllabus 2025 Syllabus
PhD Class Handout: As you read a paper.pdf As you read a paper (Revised November 2024).pdf
PhD Class Handout: What_Is_A_Summary of an Academic Paper.pdf