How Mean Returns Lie: Itô's Lemma (2nd form), GBM, & Volatility Drag | Stochastic Calculus ep.4

#math #probability #statistics #StochasticProcesses #StochasticCalculus #StochCalc #finance #quant 00:00 - 01:39 Introduction 01:39 - 05:27 GBM, definition, interpretation, and simulations 05:27 - 06:47 Itô SDE, general form 06:47 - 09:31 Main Results 09:31 - 12:03 Derivation of Itô's Lemma (2nd form) 12:03 - 14:15 Itô's Lemma special case, interpretation of Itô drift correction 14:15 - 16:10 Solution to GBM 16:10 - 20:26 Volatility drag explained: typical trajectory vs mean return Reference: Introduction to Stochastic Calculus with Applications, Gregory Lawler (available for free): https://www.math.uchicago.edu/~lawler... Slides: https://docs.google.com/presentation/...