Epstein-Zin Utility Maximization on a Random Horizon

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Hauptverfasser: Aurand, Joshua, Huang, Yu-Jui
Format: Preprint
Veröffentlicht: 2019
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_version_ 1866929200012722176
author Aurand, Joshua
Huang, Yu-Jui
author_facet Aurand, Joshua
Huang, Yu-Jui
contents This paper solves the consumption-investment problem under Epstein-Zin preferences on a random horizon. In an incomplete market, we take the random horizon to be a stopping time adapted to the market filtration, generated by all observable, but not necessarily tradable, state processes. Contrary to prior studies, we do not impose any fixed upper bound for the random horizon, allowing for truly unbounded ones. Focusing on the empirically relevant case where the risk aversion and the elasticity of intertemporal substitution are both larger than one, we characterize the optimal consumption and investment strategies using backward stochastic differential equations with superlinear growth on unbounded random horizons. This characterization, compared with the classical fixed-horizon result, involves an additional stochastic process that serves to capture the randomness of the horizon. As demonstrated in two concrete examples, changing from a fixed horizon to a random one drastically alters the optimal strategies.
format Preprint
id arxiv_https___arxiv_org_abs_1903_08782
institution arXiv
publishDate 2019
record_format arxiv
spellingShingle Epstein-Zin Utility Maximization on a Random Horizon
Aurand, Joshua
Huang, Yu-Jui
Mathematical Finance
Optimization and Control
93E20, 91G10
This paper solves the consumption-investment problem under Epstein-Zin preferences on a random horizon. In an incomplete market, we take the random horizon to be a stopping time adapted to the market filtration, generated by all observable, but not necessarily tradable, state processes. Contrary to prior studies, we do not impose any fixed upper bound for the random horizon, allowing for truly unbounded ones. Focusing on the empirically relevant case where the risk aversion and the elasticity of intertemporal substitution are both larger than one, we characterize the optimal consumption and investment strategies using backward stochastic differential equations with superlinear growth on unbounded random horizons. This characterization, compared with the classical fixed-horizon result, involves an additional stochastic process that serves to capture the randomness of the horizon. As demonstrated in two concrete examples, changing from a fixed horizon to a random one drastically alters the optimal strategies.
title Epstein-Zin Utility Maximization on a Random Horizon
topic Mathematical Finance
Optimization and Control
93E20, 91G10
url https://arxiv.org/abs/1903.08782