Review of Discrete and Continuous Processes in Finance

discrete-time and continuous-time processes for finance, theory and empirical examples

Discrete-time models: random walk, ARMA, fractional integration, GARCH). Continuous-time counterparts: Levy processes, Ornstein-Uhlenbeck, fractional Brownian motion, stochastic volatility, subordination.
To walk through the code and for a thorough description, refer to A. Meucci (2009), "Review of Discrete and Continuous Processes in Finance - Theory and Applications", available at http://symmys.com/node/131