## Math for Quantitative Finance

Tour the mathematics used to model the chaos of the financial markets.

Financial Models

Probability

Value and Risk

Probability Warm-ups

Conditional Probability

Interview Preparation

Expected Value

Expected Utility

Interview Preparation

Variance

Covariance

Indicator Variables

Interview Preparation

Statistics

Normal Distributions

Log-normal Distributions

Hypothesis Testing

Parameter Estimation

Fermi Estimates

Operations

Inverses

Linear Systems

Covariance

An Overview of Markov Chains

Stationary Distributions

Transience and Recurrence

### Course description

This course was written in collaboration with former quantitative traders from two leading firms. In this course, we'll dive into statistical modeling, matrices, and Markov chains, and guide you through the powerful mathematics and statistics used to model the chaos of the financial markets. By the end of this course, you’ll have the skills needed to ace a quantitative finance interview.

### Topics covered

- Bayes' Theorem
- Expected Value
- Fermi Estimation
- Hypothesis Testing
- Interview Prep
- Markov Chains
- Matrices
- Parameter Estimation
- Probability
- Statistical Distributions
- Utility Functions
- Variance and Covariance

### Prerequisites and next steps

You'll need some familiarity with probability and random variables.