SS 2014 Stochastic Analysis (BMS Basic course)

Prof. Markus Reiß

M.Sc. Randolf Altmeyer

Dates and locations

Topics

Construction and properties of Brownian motion, martingales in continuous time, stochastic integration, Itô formula, change of measure, stochastic differential equations, connection to partial differential equations, applications.

Prerequisites

Exam

In order to take the final exam you need to get at least 50% of the homework points. The final examination will be an oral exam. There are two possible time frames:

Tutorial

Literatur

[1] Jean Jacod, Philip E. Protter: Probability Essentials. Springer, 2003. URL http://books.google.com/books?id=OK_d-w18EVgC&pgis=1.

[2] Ioannis Karatzas: Brownian Motion and Stochastic Calculus. Springer, 1991. URL http://books.google.com/books?id=ATNy_Zg3PSsC&pgis=1.

[3] Achim Klenke: Wahrscheinlichkeitstheorie. Springer London, Limited, 2008. URL http://books.google.it/books?id=bmy89K9VjHIC.

[4] Bernt Karsten Oksendal: Stochastic Differential Equations: An Introduction with Applications. Springer Science & Business, 2010. URL http://books.google.com/books?id=EQZEAAAAQBAJ&pgis=1.

[5] Philip E. Protter: Stochastic Integration and Differential Equations: Version 2.1. Springer, 2004. URL http://books.google.it/books?id=mJkFuqwr5xgC.

[6] Daniel Revuz, Marc Yor: Continuous Martingales and Brownian Motion. Springer, 1999. URL http://books.google.com/books?id=1ml95FLM5koC&pgis=1.

[7] J. Michael Steele: Stochastic Calculus and Financial Applications. Springer, 2001. URL http://books.google.com/books?id=H06xzeRQgV4C&pgis=1.

[8] David Williams: Probability with Martingales. Cambridge University Press, 1991. URL http://books.google.it/books?id=e9saZ0YSi-AC.