UNC’s BS in Economics adds calculus-based models, stochastic processes, and intensive programming in R and Python to prepare students for quantitative finance, analytics, and PhD programs. Collaborations with the Frank Hawkins Kenan Institute expose majors to big-data consulting projects on labor markets, fintech, and ESG investing.
High-frequency trading strategy backtested on UNC cluster
Machine-learning model forecasting county-level unemployment
Panel-data study on renewable-energy subsidies and job creation
Agent-based simulation of housing-market bubbles
Credit-risk scoring algorithm using alternative data sources
Structural-equation model of education returns by field of study
Impact-evaluation of microgrants on small-business revenue
Time-series analysis of cryptocurrency volatility contagion
Portfolio-optimization tool incorporating ESG ratings
Supply-chain network model assessing tariffs on consumer prices
Natural-language processing of Fed speeches for sentiment indices
Forecast combination approach improving inflation predictions
Monte-Carlo simulation estimating pension-fund solvency
Research poster on gender bias in startup-funding valuations
Open-source econometrics library teaching causal inference
White paper on central-bank digital currencies and monetary policy
Deploy rigorous data-driven models to guide markets, policy, and research.
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