Browse Lessons

Lecture 1, Part II: Introduction of Financial Markets, Financial Terms and Concepts

Lecture 21: Black-Scholes Formula, Risk Neutral Valuation

Lecture 2: Linear Algebra

Lecture 8: Regression Analysis (cont.)

Lecture 24: Stochastic Calculus

Lecture 9: Principal Component Analysis in Finance

Lecture 7: Linear Rates, Products, and Models

Lecture 10: Counterparty Risk Optimization

Lecture 12: Time Series Analysis

Lecture 6: Stochastic Processes I (cont.); Regression Analysis

Lecture 11: Regression Analysis (cont.)

Lecture 5: Probability Theory (cont.); Stochastic Processes I

Lecture 19: Volatility Modeling

Lecture 25: Stochastic Calculus (cont.); Stochastic Differential Equations

Lecture 18: Applying Data Science and Artificial Intelligence to Managing Biomedical Portfolios

How to Sell Concert Tickets, with MIT Economist Jon Gruber

Can AI fix the economy?

MIT Economist on AI, Trade-Offs & Healthcare

Lecture 11: Contagious Structure in Projection Theory

Lecture 02: Fundamental Methods of Projection Theory

Lecture 13: The Balog-Szemeredi-Gowers Theorem

Lecture 04: The Fourier Method in Euclidean Space

Lecture 09: Reflections on the Szemeredi-Trotter Theorem

Lecture 22: Sharp Projection Theorems, Part 1: Introduction and Beck's Theorem.