KTH Matematik  

Matematisk Statistik

Tid: 11 mars 2008 kl 15.15

Plats : sal E2, KTH, Lindstedtsvägen 3, entréplanet (observera dagen och lokalen).

Vid seminariet den 11 mars diskuteras Daniel Anderssons avhandling för tekn.lic.-examen:

Necessary Optimality Conditions for Two Stochastic Control Problems

Inbjuden diskutant: Professor Tomas Björk, Institutionen för finansiell ekonomi, Handelshögskolan i Stockholm.

Seminariet ges på svenska.

Abstract: This thesis consists of two papers concerning necessary conditions in stochastic control problems. In the first paper, we study the problem of controlling a linear stochastic differential equation (SDE), where the coefficients are random and not necessarily bounded. We consider relaxed control processes, i.e. the control is defined as a process taking values in the space of probability measures on the control set. The main motivation is a bond portfolio optimization problem. The relaxed control processes are then interpreted as the portfolio weights corresponding to different maturity times of the bonds. We establish existence of an optimal control and necessary conditions for optimality in the form of a maximum principle, extended to include the family of relaxed controls.

In the second paper, we consider the so-called singular control problem, where the control consists of two components, one absolutely continuous and one singular. The absolutely continuous part of the control is allowed to enter both the drift and diffusion coefficient. The absolutely continuous part is relaxed in the classical way, i.e. the generator of the corresponding martingale problem is integrated with respect to a probability measure, guaranteeing the existence of an optimal control. This is shown to correspond to an SDE driven by a continuous orthogonal martingale measure. A maximum principle which describes necessary conditions for optimal relaxed singular control is derived.

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Sidansvarig: Filip Lindskog
Uppdaterad: 14/02-2008