I completed my PhD in Economics at Carleton University, specializing in econometrics, financial econometrics, and financial risk management. My research focuses on identification-robust estimation methods for out-of-sample inference, as well as the modelling of tail risk in finance and macroeconomics.
During my PhD, I worked as a teaching assistant for several quantitative courses, including advanced PhD-level econometrics, and also served as a research assistant. I spent several years working part-time for the Government of Canada as an Economist and Data Analyst. I now enjoy leading the Econ Lab at WorkWhile in San Francisco.
Feel free to contact me using the email below or through the social media links!
PhD in Economics, September 2025
Carleton University
M.Sc. in Finance and Insurance (Honours), 2019
University of Calabria
B.Sc. in Statistics, 2016
University of Calabria
Co-moments of asset returns play a major role in financial contagion during crises. We study the properties of a particular specification of the generalized bivariate normal distribution which allows for co-volatility and co-skewness. With this probability distribution, formulae for single-name and exchange options can be evaluated quickly since they are based on one-dimensional integrals. We provide a very precise approximation formula for spread option prices and derive the corresponding greeks. We perform a day-to-day re-estimation of the probability distribution on a dataset of WTI vs Brent spread options, showing the ability of this specification to capture the salient empirical features observed in the market. Finally, we show the impact of co-movements on portfolio risk management.