RESEARCH

Working Papers & Current Research Projects

"Contractionary Monetary Policy Shocks and Financial Stress Under Varying Inflationary Regimes: A Structural Vector Autoregressive Analysis" (Independent Study / Thesis - Spring/Summer 2024)

"Fiscal Debt, M1, and Fed Independence: Unpacking Dynamics via Granger Causality" (current)

"A Dynamic Adaptive Nowcasting System for Inflation (DANS)" (Economic Club of Rollins College)

"Sense and Sensibility: A FAVAR Analysis of Doomer Sentiment and its Role in Inflation Mitigation" (current)

"Disentangling ‘Greedflation’: An Examination of Corporate Pricing Behavior and Inflationary Dynamics in the Post-Pandemic Era (2021-2023)." (Fall 2023)

Motivation

My interest in economics was first sparked during the tumultuous period of the Great Financial Crisis of 2008 and the ensuing Great Recession. At that critical juncture and formative period of my life, economic issues were at the forefront of collective consciousness, allowing me to observe firsthand the profound impact policy decisions could have on the economic well-being of a wide array of individuals, especially those in my community and myself. Witnessing how economic instability and crisis could scar a generation, shape global politics and influence the culture cemented my passion for understanding how policy may be leveraged to mitigate risk and prevent future crises. This initial fascination has since evolved into a focused research interest in macroeconomics, financial markets, and monetary policy. 

My academic journey is driven by a desire to explore how nuanced, data-driven policy measures can safeguard against systemic financial risks and enhance economic stability. The economic crisis from the recent COVID-19 pandemic has further motivated my research pursuits to capture the nonlinear dynamics of the economy through innovative analytical techniques and economic models. Most of the research I focus on includes econometrics, time series analysis, vector autoregression, local projection, GARCH models, and novel applications that call upon recent advancements in machine learning and artificial intelligence. 

I am inspired by the quote "Do all the good you can, by all the means you can, in all the ways you can, in all the places you can, at all the times you can, to all the people you can, as long as ever you can" and have aligned my research endeavors with the goal of making such a substantial impact. My research pursuits and professional ambitions reflect a personal commitment to impacting the most people I can through work that minimizes risk of crisis and promotes economic stability and prosperity to communities worldwide.