Phase 8
Stochastic Processes & Brownian Motion
Phase 8 of the Quant Academy curriculum.
8.1Full Lesson
Markov Chains
Memoryless processes on discrete state spaces: transition matrices, the Chapman-Kolmogorov equations, classification of
8.2Full Lesson
Random Walks, Filtrations, and Information
The simple random walk as the prototype process, its scaling toward Brownian motion, and the filtration formalism that m
8.3Full Lesson
Brownian Motion: Construction and Defining Properties
The continuous-time limit of the random walk: its four defining axioms, existence, the Gaussian marginal structure, and
8.4Full Lesson
Quadratic Variation and Path Properties of Brownian Motion
The single fact that makes stochastic calculus different: smooth paths have zero quadratic variation, but Brownian motio
8.5Full Lesson
Gaussian Processes and the Foundations of Change of Measure
Brownian motion as a Gaussian process, the multivariate normal toolkit, and how Radon-Nikodym densities and Girsanov&rsq