Department of Statistics

STAT401/STAT890: Stochastic Finance

Lecturer in charge

Associate Professor Andrzej Kozek

Availability

E2 - Evening; Offered in the second half-year

Unit Outline

Websites

Handbook entry

Coursework unit website - WebCT (Login required)

Description

These units aim to integrate a basic understanding of how financial markets work with the analytic tools for modelling their time dependent structures. Since these structures are based on random ("stochastic") processes, stochastic models underpin the methods. Where feasible, analytic methods are developed. The aim is to present as much financial theory about securities markets as possible without requiring the advanced mathematics that is associated with continuous time models. Topics include single period securities markets, valuation of contingent claims, portfolio management, stochastic volatility, the binomial model, value at risk, credit modelling applications.