Spring 2024
8117 Stochastic calculus and Dynamic Programing
Instructor: Aldo Rustichini
The course is an introduction to basic concepts of stochastic calculus and application in economic analysis and finance. The aim of the course is to provide a treatment of the prerequisites. The requirements are basic probability and real analysis concepts; these will be reviewed in the first lectures.
A. Introduction
A.1 Dynamic Programming in Continuous time
B. Basic probability Concepts
Section B.1. Prerequisites: sigma-field, measurable function, probability measure, Probability spaces
Section B.2. Stochastic processes, filtration, stopping times
Section B.3. Conditional expectation
Section B.4. Discrete time martingales
C. Stochastic Calculus
Section C.1. Convergence of Random Variable
Section C.2. Brownian Motion
Section C.3. Ito's Integral
Section C.4. Stochastic Differential Equations and Ito's Lemma
D. Optimization with Diffusion processes
Section D.1 Value Function
Section D.2. HJB equation
Section D.3. Viscosity Solutions