Abstract
Many financial decision problems are most naturally formulated as optimization problems. This is the case, for example, in (arbitrage, utility, risk measure,...) pricing and hedging of (European, American, real,..) options, portfolio optimization and asset liability management. The optimization approach becomes even more natural in the presence of market imperfections such as transaction costs or portfolio constraints, where more traditional approaches of mathematical finance fail. Common to many financial problems, when properly formulated, is convexity with respect to the decision variables. This opens up possibilities of using numerical techniques that have been developed for large scale optimization problems.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Pennanen, T. (2007). Financial Optimization. In: Waldmann, KH., Stocker, U.M. (eds) Operations Research Proceedings 2006. Operations Research Proceedings, vol 2006. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69995-8_18
Download citation
DOI: https://doi.org/10.1007/978-3-540-69995-8_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69994-1
Online ISBN: 978-3-540-69995-8
eBook Packages: Business and EconomicsBusiness and Management (R0)