Menu
Contact Us

Factor Analysis in Financial Modeling: A Quantum Approach

A collaborative research initiative leveraging quantum computing to enhance financial modeling, focusing on factor analysis and market prediction strategies.

Back to Partner Projects

Project Details

Partner: University of South Carolina - Darla Moore School of Business
Location: Columbia, SC
Research Areas: Quantum Computing
Sectors: AcademicCorporateStart-Up
https://www.sc.edu/study/colleges_schools/moore/

"Applying quantum computing to financial markets is the next evolution in understanding market forces."

— Dr. Brandon Mendez, Clinical Assistant Professor of Finance

750 > 500,000

Quantum algorithms, such as quantum amplitude estimation, can offer a speedups over classical Monte Carlo simulations. For instance, if a classical simulation requires 500,000 samples, the equivalent quantum algorithm may need only 750 samples. –Deloitte United States

Composite image showing a financial data chart on a laptop, students in a lecture hall, and participant students walking outside the Darla Moore School of Business at the University of South Carolina.

This pioneering research project explores the integration of quantum computing in financial modeling, particularly focusing on factor analysis in equity markets. Phase 1 investigates mean reversion strategies using options as probabilistic tools, while Phase 2 analyzes the behavior of market makers and institutional liquidity flows. The project aims to use quantum computing to enhance predictive capabilities and generate alpha in financial trading.
 

Additional Information

FinTrust Capital Advisors contributes industry insight through Chief Investment Officer Allen Gillespie. The Darla Moore School of Business facilitates academic and student-led research under Dr. Brandon Mendez and Dr. Necati Tereyagoglu.

Inspired by this project? Let's work together.

Sitemap