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Optimal consumption with reference to past spending maximum

This paper studies the infinite-horizon optimal consumption problem with a path-dependent reference under exponential utility. The performance is measured by the difference between the nonnegative consumption rate and a fraction of the historical consumption maximum. The consumption running maximum...

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Detalles Bibliográficos
Autores principales: Deng, Shuoqing, Li, Xun, Pham, Huyên, Yu, Xiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8906163/
http://dx.doi.org/10.1007/s00780-022-00475-w
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author Deng, Shuoqing
Li, Xun
Pham, Huyên
Yu, Xiang
author_facet Deng, Shuoqing
Li, Xun
Pham, Huyên
Yu, Xiang
author_sort Deng, Shuoqing
collection PubMed
description This paper studies the infinite-horizon optimal consumption problem with a path-dependent reference under exponential utility. The performance is measured by the difference between the nonnegative consumption rate and a fraction of the historical consumption maximum. The consumption running maximum process is chosen as an auxiliary state process, and hence the value function depends on two state variables. The Hamilton–Jacobi–Bellman (HJB) equation can be heuristically expressed in a piecewise manner across different regions to take into account all constraints. By employing the dual transform and smooth-fit principle, some thresholds of the wealth variable are derived such that a classical solution to the HJB equation and feedback optimal investment and consumption strategies can be obtained in closed form in each region. A complete proof of the verification theorem is provided, and numerical examples are presented to illustrate some financial implications.
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spelling pubmed-89061632022-03-09 Optimal consumption with reference to past spending maximum Deng, Shuoqing Li, Xun Pham, Huyên Yu, Xiang Finance Stoch Article This paper studies the infinite-horizon optimal consumption problem with a path-dependent reference under exponential utility. The performance is measured by the difference between the nonnegative consumption rate and a fraction of the historical consumption maximum. The consumption running maximum process is chosen as an auxiliary state process, and hence the value function depends on two state variables. The Hamilton–Jacobi–Bellman (HJB) equation can be heuristically expressed in a piecewise manner across different regions to take into account all constraints. By employing the dual transform and smooth-fit principle, some thresholds of the wealth variable are derived such that a classical solution to the HJB equation and feedback optimal investment and consumption strategies can be obtained in closed form in each region. A complete proof of the verification theorem is provided, and numerical examples are presented to illustrate some financial implications. Springer Berlin Heidelberg 2022-03-09 2022 /pmc/articles/PMC8906163/ http://dx.doi.org/10.1007/s00780-022-00475-w Text en © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Deng, Shuoqing
Li, Xun
Pham, Huyên
Yu, Xiang
Optimal consumption with reference to past spending maximum
title Optimal consumption with reference to past spending maximum
title_full Optimal consumption with reference to past spending maximum
title_fullStr Optimal consumption with reference to past spending maximum
title_full_unstemmed Optimal consumption with reference to past spending maximum
title_short Optimal consumption with reference to past spending maximum
title_sort optimal consumption with reference to past spending maximum
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8906163/
http://dx.doi.org/10.1007/s00780-022-00475-w
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