Tomas Lågland (University of Edinburgh)

Formulating and building stochastic programming models for financial planning
Wednesday 28 May 2003 at 15.30, JCMB 6206

Abstract

Stochastic programming has been proposed to be used to cope with the uncertainty inherent in financial planning problems, e.g. asset allocation, asset and liability management and goal saving. Among the advantages of stochastic programming is the flexibility in tailoring the program to closely reflect the opportunities and constraints of reality. We take a look at different aspects that need to be addressed when approaching financial decision making with stochastic programming. These include representation of the uncertainty in a scenario tree, specification of the objective, and the incorporation of the decision maker's attitute towards risk. In addition, some simple examples are considered.

Seminars by year

Current 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 1999 1998 1997 1996