
About
I specialize in quantitative modeling of financial markets, from market microstructure to aggregate asset pricing. My work bridges theory and empirics, with applications in portfolio construction, risk management, and algorithmic trading. Currently Assistant Professor of Finance at Virginia Tech, I hold a Ph.D. in Finance from Arizona State University, and have prior degrees in quantitative finance and mathematics from Bradley University.
Research topics
- Economics
- Financial economics
- Monetary economics
- Econometrics
Selected publications
Journal of Political Economy · 2022 · 36 citations
1st authorCorresponding- Economics
- Financial economics
- Econometrics
We use option prices and realized returns to decompose risk premia into different parts of the return state space. In the data, 8/10 of the average equity premium is attributable to monthly returns below −10%, but returns below −30% matter very little. In contrast, prominent asset pricing models based on habits, long-run risks, rare disasters, undiversifiable idiosyncratic risk, and constrained intermediaries attribute the premium predominantly to returns above −10% or to the extreme left tail. We show that the discrepancy arises from an unrealistically small price of risk for stock market tail events in the models.
On Sources of Risk Premia in Representative Agent Models
SSRN Electronic Journal · 2019-01-01 · 8 citations
articleOpen access1st authorCorrespondingSimulation of a financial market: The possibility of catastrophic disequilibrium
Chaos Solitons & Fractals · 2019-05-21 · 7 citations
articleThe Anatomy of Trading Algorithms
SSRN Electronic Journal · 2019-01-01 · 26 citations
articleOpen access1st authorCorresponding
Frequent coauthors
- 2 shared
David Schreindorfer
Arizona State University
- 1 shared
K. R. Roos
- 1 shared
Amit K. Sinha
- 1 shared
Philip A. Horvath
- 1 shared
Sunil Wahal
- Resume-aware match score
- Save to shortlist
- AI-drafted outreach
See your match with Tyler Beason
PhdFit ranks faculty by your research interests, methods, and publications — grounded in their actual work, not templates.
- Free to start
- No credit card
- 30-second signup