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Lecture 2: Linear Algebra
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Classroom Contents
Topics in Mathematics with Applications in Finance - Fall 2024
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- 1 Lecture 1, Part I: Introduction of the Class
- 2 Lecture 1, Part II: Introduction of Financial Markets, Financial Terms and Concepts
- 3 Lecture 1, Part III: Bond “Mathematics”
- 4 Lecture 2: Linear Algebra
- 5 Lecture 4: Linear Algebra (cont.); Probability Theory
- 6 Lecture 5: Probability Theory (cont.); Stochastic Processes I
- 7 Lecture 6: Stochastic Processes I (cont.); Regression Analysis
- 8 Lecture 7: Linear Rates, Products, and Models
- 9 Lecture 8: Regression Analysis (cont.)
- 10 Lecture 9: Principal Component Analysis in Finance
- 11 Lecture 10: Counterparty Risk Optimization
- 12 Lecture 11: Regression Analysis (cont.)
- 13 Lecture 13: Portfolio Management
- 14 Lecture 14: Stochastic Processes II
- 15 Lecture 12: Time Series Analysis
- 16 Lecture 18: Applying Data Science and Artificial Intelligence to Managing Biomedical Portfolios
- 17 Lecture 19: Volatility Modeling
- 18 Lecture 21: Black-Scholes Formula, Risk Neutral Valuation
- 19 Lecture 20: Building the First Federally (CFTC) Regulated Exchange Dedicated to Trading on Events
- 20 Lecture 23: Introduction to Machine Learning
- 21 Lecture 24: Stochastic Calculus
- 22 Lecture 25: Stochastic Calculus (cont.); Stochastic Differential Equations
