Computational Finance and Economic Systems
Computational finance and economic systems is a rapidly growing, interdisciplinary field that blends mathematical and statistical methods, computer science, finance, and economics to quantitatively understand and effectively solve a range of complex problems that affect societies. Over the last several decades, quantitative finance has changed global markets in a foundational way.
Since its founding in 2002, CoFES researchers have specialized in modeling dynamic microeconomic and macroeconomic systems, econometrics, and in the development of algorithms and forecasting techniques based on high-dimensional time-series data, artificial intelligence and machine learning, blockchain technologies, Bayesian methods, and stochastic processes.
The research emphasized by CoFES has evolved into new arenas in global markets and the financial technology landscape. Applications, which have benefited a wide cross-section of industries, have included cutting-edge investment science, emerging markets, market trading, hedge funds, and financial risk management.
Knowledge gained through CoFES research is disseminated through:
- Programs in undergraduate and graduate education,
- Numerous journal publications and technical reports,
- Involvement in professional associations and CoFES projects,
- Theses and dissertations
- Undergraduate white papers
- Selected journal papers by the late James R. Thompson (available through Rice’s Fondren Library),
- Eubank Conferences and short courses