UF’s MS in Finance provides advanced training in corporate finance, investment analysis, derivatives, and financial modeling. Students learn to analyze risk, optimize portfolios, and make data-driven decisions using quantitative tools and Bloomberg terminals. The program prepares graduates for roles in investment banking, asset management, fintech, and financial consulting.
Development of a machine learning model for stock price prediction using news sentiment
Portfolio optimization using the Black-Litterman model in volatile market conditions
Thesis on behavioral biases and their impact on retail investment outcomes
Valuation model for a growth-stage tech company using DCF and comparable analysis
Study of financial contagion effects in global bond markets during crisis periods
Backtesting of a momentum-based trading strategy in emerging markets
Quantitative analysis of ESG factors on long-term firm profitability
Development of a robo-advisor portfolio tool with adaptive risk tolerance
Simulation of financial market crashes using agent-based modeling
Assessment of interest rate risk in fixed-income portfolios using duration analysis
Design of a hedge strategy using equity options and VIX futures
Machine learning classification of credit risk for SME lending models
Analysis of fintech disruption in traditional banking revenue streams
Thesis on blockchain’s impact on cross-border remittance efficiency
Development of a financial health index for personal finance education
Event study on M&A announcements and short-term market reactions
Design of a tool to automate company valuation pipelines for investment banks
Study on currency hedging strategies for international corporate treasuries
Real-time visualization dashboard for monitoring capital market performance
Regression analysis of macroeconomic variables and equity returns correlation
Build financial expertise for careers in investment, banking, and corporate strategy.
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