\(y=(I-\rho W)^{-1}[X\beta + \epsilon] \) \(L = \int^{^T}_{_0}e(t)\, dt \) \( L = \iint \left[ B(a,t) + C(a,t) \right] \cdot \left[ D(a,t) + I\big( R(a,t) \big) \right] \, da \, dt \) \(\Rightarrow\) \(\partial V/\partial K = q(\theta)\) \(\ \hat{\sigma}^2_{M,i} = \frac{1}{|\mathcal{M}|} \sum_{M \in \mathcal{M}} \left(\hat{\theta}_i(M) - \bar{\theta}_i\right)^2\) \(y_\tau = g_\tau(\text{pool}(H))\)

William GrieserAssociate Professor of Finance

Finance professor at Oklahoma State University. Network economist. Songwriter. Carpenter. I study how firms' decisions ripple through production and geographic networks, and I write rap songs about Ben Bernanke.

Published & in progress
2026
Decomposing the Spillover Effects of Financial Restatements on Corporate Investment
with Jan Ditzen, Patrick Hopkins, and Stephen Lusch
Journal of Business Finance & Accounting · Forthcoming
JBFA
2026
The Epidemiology of Financial Constraints and Corporate Investment
with Ioannis Spyridopoulos and Morad Zekhnini
Journal of Financial & Quantitative Analysis · 61(1), 281–314
JFQA
2025
Ubiquitous Comovement
with Jung Hoon Lee and Morad Zekhnini
R&R at Management Science
R&R
2025
Product Similarity, Benchmarking, and Corporate Fraud
with Audra Boone, Rachel Li, and Parth Venkat
Journal of Financial & Quantitative Analysis · 60(7), 3195–3227
JFQA
2022
Network Effects in Corporate Financial Policies
with Charles Hadlock, James P. LeSage, and Morad Zekhnini
Journal of Financial Economics · 144(1), 247–272
JFE
2022
Industry Networks and the Geography of Firm Behavior
with James P. LeSage and Morad Zekhnini
Management Science · 68(8), 6163–6183
MS
2022
Agglomeration, Coordination, and Corporate Investment
with Gonzalo Maturana, Ioannis Spyridopoulos, and Santiago Truffa
Journal of Corporate Finance · 77, 102289
JCF
2021
Doing Good When Doing Well: Evidence on Real Earnings Management
with Charles Hadlock and Josh Pierce
Review of Accounting Studies · 26, 906–932
RAS
2019
Panel Data Estimation in Finance: Testable Assumptions and Parameter (In)Consistency
with Charles Hadlock
Journal of Financial & Quantitative Analysis · 54(1), 1–29
JFQA
2019
Corporate Investment and Innovation in the Presence of Competitor Constraints
with Zack Liu
Review of Financial Studies · 32(11), 4271–4303
RFS
Songs from the trailer

Songs I've written from my trailer to explain economic concepts, make fun of finance and research topics, or just entertain myself. They're all on Spotify and YouTube — click below to listen!

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Dang It Feels Good to Be a Bankster
The financial crisis, from the perspective of those who made it happen.
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Natural Experiments Anthem
Because nothing says 'causal inference' like a meteor hitting Saskatchewan! Dedicated to everyone who's ever found that special instrument, and they saw stars... all 3 of them!
FIN
Welcome Back
A rap welcoming students back from Covid — with an overview of the curriculum and economic concepts baked in.
W
Winsorizing
A song about everyone's favorite econometric procedure. Trim those tails.
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Tariff Song
Trade policy set to music. Because sometimes the best way to explain tariffs is to sing about them.
Dallas Cowboys Rap
Not everything has to be about finance.
The less short version

I'm a finance professor who studies how firms' decisions ripple through production networks and geographic clusters. Most empirical work in corporate finance treats firms as independent observations, as though they are Robinson Crusoe firms operating on an island. But firms are connected to each other in complex webs of supply chains, industry relationships, and geographic proximity. My research shows what you likely miss when you ignore the connections. Network effects alter the economic magnitudes of well-studied relationships dramatically, as one would expect from decades of game theory and industrial organization research. The econometrics required to identify these effects properly is not as hard as one might think, and they offer far more than better parameter estimates. Rather, they offer an entirely new class of measurable phenomena.

I specialize in network analysis, spatial econometrics, financial constraints, and corporate investment. I focus on methods that glean new insights into old questions, empirical approaches that capture indirect links, spillover channels, and propagation effects that standard models miss entirely.

I teach Financial Markets & Institutions and empirical research methods. My classroom runs on games, simulations, and experiential learning — not slides. I've written rap songs to teach econometrics, explain tariffs, and welcome students back from Covid. They work better than you'd think.

Before Oklahoma State, I was at Tulane, TCU, and USC. Outside of research, I write music spanning several genres from my trailer in Stillwater, I'm working on a book that formalizes love as an integral of emotional energy dedicated over time, and I spend more time than is probably healthy arguing with AI about identification strategies in working papers.

Details

Position Associate Professor
School Oklahoma State
Fields Corporate, Networks
Methods network econometrics
Side quest Songwriter
Courses & resources
Undergraduate

Financial Markets & Institutions

Built around classroom games and experiential learning. Students trade, build portfolios, and learn market mechanics by doing, not watching.

PhD

Empirical Research Methods

Identification strategies, spatial econometrics, causal inference. Heavy emphasis on what can go wrong and usually does.

Resource

PhD Handbook

A comprehensive guide for finance PhD students — from reading papers to writing them, with everything I wish someone had told me.

Resource

Classroom Games

Materials for interactive finance teaching. Trading simulations, market design exercises, and coordination games.

Random Research; never to be published
2026.02 On LLMs in Finance Where do LLMs help and where do they hurt your research? 2026.01 The Love Equation Defining love as the integral of emotional energy willingly given over time 2025.11 Why all corporate finance should use networks A field guide to empirical network analysis in corporate finance