Optimization problem for a portfolio with an illiquid asset: Lie group analysis
Ljudmila A. Bordag, Ivan P. Yamshchikov

TL;DR
This paper applies Lie group analysis to complex PDEs in portfolio optimization with illiquid assets, identifying symmetries to simplify equations and derive solutions, advancing mathematical finance modeling techniques.
Contribution
It provides a comprehensive Lie group analysis of HJB equations in portfolio models with illiquid assets, including new reduction methods and classifications for various utility functions.
Findings
Identified Lie symmetries for a broad class of liquidation time distributions.
Derived reductions of complex PDEs to simpler forms or ODEs.
Presented new substitution methods for simplifying nonlinear HJB equations.
Abstract
Management of a portfolio that includes an illiquid asset is an important problem of modern mathematical finance. One of the ways to model illiquidity among others is to build an optimization problem and assume that one of the assets in a portfolio can not be sold until a certain finite, infinite or random moment of time. This approach arises a certain amount of models that are actively studied at the moment. Working in the Merton's optimal consumption framework with continuous time we consider an optimization problem for a portfolio with an illiquid, a risky and a risk-free asset. Our goal in this paper is to carry out a complete Lie group analysis of PDEs describing value function and investment and consumption strategies for a portfolio with an illiquid asset that is sold in an exogenous random moment of time with a prescribed liquidation time distribution. The problem of such type…
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Taxonomy
TopicsStochastic processes and financial applications · Risk and Portfolio Optimization · Financial Markets and Investment Strategies
