Econometrics: Tutorial, Lab, and Programming Notes (coming soon)

Pedagogical sequence (suggested): Measure Theory, Matrix Algebra, Stochastic Processes, Asymptotic Statistics, Econometric Theory I & II, Time-Series Econometrics I, free selections

> Asymptotic Statistics

> Bayesian Econometrics

> Computational Statistics for Econometrics

> Econometric Theory I & II

> Financial Econometrics (planned date of release: 31 Aug 2023)

> Matrix Algebra

> Measure Theory

> Stochastic Processes

> Time-Series Econometrics I & II

> Time-Series Models

Data Science: Tutorial, Lab, and Programming Notes (coming soon)

> Algorithms and Data Structures: A Brief Introduction

> Combinatorial Optimisation

> Information Theory and Inference

> Machine Learning with Applications to Economics, Finance and Insurance

> Statistical Inference (Mathematical Statistics)

> Statistical Learning

> Stochastic Gradient Techniques for Optimisation

Economics, Finance, and Insurance (coming soon)

Pre-requisites: Microeconomics (introduction and intermediate), Macroeconomics (introduction and intermediate), Undergraduate Calculus, Undergraduate Real Analysis, Linear Algebra

> Actuarial Mathematics I: Life Insurance

> Actuarial Mathematics II: Non-Life Insurance

> Asset Pricing

> Asset-Liability Management

> Contract Theory: An Introduction

> Dynamic Economic Theory

> Financial Mathematics I: Discrete Time

> Financial Mathematics II: Continuous Time

> Fixed Income

> Industrial Organisation

> Insurance Economics and Financial Economics

> Labour Economics - Cahuc Stream

> Quantitative Risk Management