Saddle points for maximin investment problems with observable but non-predictable parameters: solution via heat equation.

We study optimal investment problem for a market model where the evolution of risky assets prices is described by Itoˆs equations. The risk-free rate, the appreciation rates, and the volatility of the stocks are all random; they depend on a random parameter that is not adapted to the driving Brownia...

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Main Author: Dokuchaev, Nikolai
Format: Journal Article
Published: Oxford University Press 2006
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/41201
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author Dokuchaev, Nikolai
author_facet Dokuchaev, Nikolai
author_sort Dokuchaev, Nikolai
building Curtin Institutional Repository
collection Online Access
description We study optimal investment problem for a market model where the evolution of risky assets prices is described by Itoˆs equations. The risk-free rate, the appreciation rates, and the volatility of the stocks are all random; they depend on a random parameter that is not adapted to the driving Brownian motion. The distribution of this parameter is unknown. The optimal investment problem is stated in a mazimin setting to ensure that a strategy is found such that the minimum of expected utility over all possible distributions of parameters is maximal. We show that a saddle point exists and can be found via solution of the standard one-dimensional heat equation with a Cauchy condition defined via one-dimensional minimization. This solution even covers models with unknown solution for a given distribution of the market parameters.
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institution Curtin University Malaysia
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publishDate 2006
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spelling curtin-20.500.11937-412012019-02-19T05:35:12Z Saddle points for maximin investment problems with observable but non-predictable parameters: solution via heat equation. Dokuchaev, Nikolai continuous time market models saddle point - minimax problems optimal portfolio uncertainty We study optimal investment problem for a market model where the evolution of risky assets prices is described by Itoˆs equations. The risk-free rate, the appreciation rates, and the volatility of the stocks are all random; they depend on a random parameter that is not adapted to the driving Brownian motion. The distribution of this parameter is unknown. The optimal investment problem is stated in a mazimin setting to ensure that a strategy is found such that the minimum of expected utility over all possible distributions of parameters is maximal. We show that a saddle point exists and can be found via solution of the standard one-dimensional heat equation with a Cauchy condition defined via one-dimensional minimization. This solution even covers models with unknown solution for a given distribution of the market parameters. 2006 Journal Article http://hdl.handle.net/20.500.11937/41201 10.1093/imaman/dpi041 Oxford University Press fulltext
spellingShingle continuous time market models
saddle point
- minimax problems
optimal portfolio
uncertainty
Dokuchaev, Nikolai
Saddle points for maximin investment problems with observable but non-predictable parameters: solution via heat equation.
title Saddle points for maximin investment problems with observable but non-predictable parameters: solution via heat equation.
title_full Saddle points for maximin investment problems with observable but non-predictable parameters: solution via heat equation.
title_fullStr Saddle points for maximin investment problems with observable but non-predictable parameters: solution via heat equation.
title_full_unstemmed Saddle points for maximin investment problems with observable but non-predictable parameters: solution via heat equation.
title_short Saddle points for maximin investment problems with observable but non-predictable parameters: solution via heat equation.
title_sort saddle points for maximin investment problems with observable but non-predictable parameters: solution via heat equation.
topic continuous time market models
saddle point
- minimax problems
optimal portfolio
uncertainty
url http://hdl.handle.net/20.500.11937/41201