Conor Donohoe

Philadelphia, PA | cdonohoe6256@gmail.com | github.com/conord625
Education
Temple University, College of Liberal Arts, Philadelphia, PA
Expected December 2026
B.A. in Mathematical Economics, GPA: 4.0/4.0
Research Interests
Research Papers
Geopolitical Distance and the Sensitivity of Bilateral Capital Flows to Global Risk
First draft, March 2026

Combines a theoretical extension of Albuquerque (2003) with bilateral gravity-model and IV evidence to show that geopolitically distant country pairs exhibit lower portfolio investment and substantially weaker sensitivity to VIX shocks.

The Popularity Effects of Soccer Leagues Remaining Active During COVID Lockdowns
2025

Uses the Belarusian Premier League's COVID-era exposure shock as a natural experiment and a dynamic difference-in-differences event-study design to show that the resulting increase in attention was large but not persistent.

Course Papers
No-Arbitrage Linear Pricing, the Riesz Representation Theorem, and the Stochastic Discount Factor
2026

A course paper in asset pricing and functional analysis that develops a self-contained treatment of one-period pricing in L^2 and shows that the abstract Riesz-representation stochastic discount factor coincides with the discounted marginal-utility kernel from a one-period consumer problem.

Awards and Presentations
Research and Analytical Experience
Federal Reserve Bank of Philadelphia
June 2026 - September 2026
Incoming Credit Research Intern
Temple University
November 2025 - June 2026
Research Assistant to Professor Olga Timoshenko
Temple University
August 2025 - November 2025
College Fed Challenge, Team Member
Teaching Experience
Temple University, Economics Department
January 2026 - May 2026
Economics Department Tutor
Research-Relevant Coursework

PhD Econometrics I and II, PhD Macroeconomics I, Stochastic Processes, Introduction to Machine Learning, Real Analysis, Theoretical Linear Algebra, Economics Research Capstone

Technical Skills

Programming: Python (pandas, NumPy, scikit-learn), R, SQL, Stata, Excel, JavaScript, HTML

Methods: Econometric modeling, fixed effects, dynamic panel data analysis, instrumental variables, event-study design, time series analysis, machine-learning-assisted text analysis

Languages: Spanish (professional working proficiency), Mandarin Chinese (limited working proficiency)