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Workshop

Survey Lecture: On Portfolio Optimization and Hedging under incomplete Information

  • Wolfgang J. Runggaldier (Università degli Studi di Padova, Padova, Italy)
A3 01 (Sophus-Lie room)

Abstract

We plan to describe concepts and solution methods for stochastic control under incomplete information as applied to portfolio optimization and hedging. The concepts and methods are first illustrated in a discrete time setting and then carried over to continuous time thereby pointing at similarities and differences. Time permitting, we shall also consider an intermediate setting, namely a pure jump market model.

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Katja Bieling

Max Planck Institute for Mathematics in the Sciences, Leipzig Contact via Mail

Rüdiger Frey

Universität Leipzig

Thorsten Schmidt

Universität Leipzig

Stefan Müller

Max Planck Institute for Mathematics in the Sciences