Oct 31, 2025  
2024-2025 GRADUATE CATALOG 
    
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2024-2025 GRADUATE CATALOG [ARCHIVED CATALOG]

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MATH 5320 - Mathematical Modeling in Finance

Credits: 3 Class: 3 Lab: 0
Crosslisted: STAT 5320  
Prerequisite(s): A grade of C or better in Math 3317 and Math 3318 and graduate standing; or department approval.
This course is devoted to probabilistic and statistical models and techniques applied to insurance and financial risk analysis and management. The list of course topics includes mean-variance portfolio theory, asset pricing models, variance, semi-variance, Value-at-Risk (VaR) and Tail Value-at-Risk (TVaR), sensitivity analysis, derivatives and derivative strategies, general properties of options, binomial and Black-Scholes option pricing models. A solid background in probability theory, statistics, and calculus is required, and some knowledge of basic corporate finance and interest theory, is expected/recommended.


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