Skip to main content

My research concentrations and interests span financial markets, macroeconomic theory, artificial intelligence, and statistical finance. Currently, I am engaged in a research study under the mentorship of Dr. Catherine Schrand at the Wharton School, focusing on the impacts of significant cobalt supply chain events and their effects on global markets and cobalt futures prices. This project uses advanced data analysis through the Wharton Research Data Services (WRDS) platform to predict stock price reactions across major cobalt suppliers and assess cross-sectional impacts in the Electric Vehicle (EV) market. Outside the UScholars program, I am an NCAA D1 Varsity Swimming and Diving Team student-athlete, dedicating close to 30 hours weekly to training and competition. Additionally, starting in the fall of 2024, I will participate in community service through the Financial Literacy Community Project (FLCP). Supported by the Wharton Management Department, this initiative enables me to teach financial literacy in West Philadelphia schools.

  • Research Concentrations: Financial markets, Macroeconomic Theory, Artificial Intelligence, and Statistical Finance
  • NCAA D1 Varsity Swimming and Diving Student-Athlete
  • College Board National Hispanic Scholar & Financial Literacy Community Project (FLCP) Participant

 

Evan Spagnoletti presenting sophomore year research at the Vagelos 4th Annual Frontiers of Energy Research Convention.

Evan presenting sophomore year research at the Vagelos 4th Annual Frontiers of Energy Research Convention.

 

Academic Major(s): Economics, Finance
Evan Spagnoletti

Corporate strategy research in private equity, M&A, and investor activism

Various research projects in corporate strategy, private equity, M&A, and investor activism.

Rodney L. White Center for Financial Research: Undergraduate Research Fellows

The Rodney White Center for Financial research is seeking highly qualified undergraduates to interested in working as research assistants for finance PhD students.

Machine Learning and Computational Marketing

I am seeking research assistants to help develop the next generation of tools for marketing analytics, including methods for learning consumer preferences from unstructured image, text, and video data, new solutions for modeling customer lifetime value, and advanced machine learning tools for optimizing marketing. This is a technical position that requires prior coding experience.

The Debt of Cities: Financing Local Public Investment

I'm happy to work with undergraduates broadly interested in public debt and investment in public infrastructure, especially if we can create data products that are useful across more than one project.

International Monetary History

How did the international monetary system evolve in the 1970s after the dollar went off gold?

Social Learning

How do people use social information to learn about the world? What kinds of social networks aggregate dispersed information efficiently?

Subscribe to Business and Economics