Optimal Consumption for Recursive Preferences with Local Substitution under Risk

Fuente: arXiv
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Main Authors: Li, Hanwu, Riedel, Frank
Format: Preprint
Published: 2024
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author Li, Hanwu
Riedel, Frank
author_facet Li, Hanwu
Riedel, Frank
contents We explore intertemporal preferences that are recursive and account for local intertemporal substitution. First, we establish a rigorous foundation for these preferences and analyze their properties. Next, we examine the associated optimal consumption problem, proving the existence and uniqueness of the optimal consumption plan. We present an infinite-dimensional version of the Kuhn-Tucker theorem, which provides the necessary and sufficient conditions for optimality. Additionally, we investigate quantitative properties and the construction of the optimal consumption plan. Finally, we offer a detailed description of the structure of optimal consumption within a geometric Poisson framework.
format Preprint
id arxiv_https___arxiv_org_abs_2409_07799
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Optimal Consumption for Recursive Preferences with Local Substitution under Risk
Li, Hanwu
Riedel, Frank
Optimization and Control
We explore intertemporal preferences that are recursive and account for local intertemporal substitution. First, we establish a rigorous foundation for these preferences and analyze their properties. Next, we examine the associated optimal consumption problem, proving the existence and uniqueness of the optimal consumption plan. We present an infinite-dimensional version of the Kuhn-Tucker theorem, which provides the necessary and sufficient conditions for optimality. Additionally, we investigate quantitative properties and the construction of the optimal consumption plan. Finally, we offer a detailed description of the structure of optimal consumption within a geometric Poisson framework.
title Optimal Consumption for Recursive Preferences with Local Substitution under Risk
topic Optimization and Control
url https://arxiv.org/abs/2409.07799