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Optimal Retirement in a General Market Environment

Authors
Yang, ZhouKoo, Hyeng KeunShin, Yong Hyun
Issue Date
Aug-2021
Publisher
SPRINGER
Keywords
Backward stochastic partial differential variational inequality; Stochastic free boundary problem; Early retirement; Portfolio selection; Consumption; Leisure; Non-Markovian market environment
Citation
APPLIED MATHEMATICS AND OPTIMIZATION, v.84, no.1, pp 1083 - 1130
Pages
48
Journal Title
APPLIED MATHEMATICS AND OPTIMIZATION
Volume
84
Number
1
Start Page
1083
End Page
1130
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/2425
DOI
10.1007/s00245-020-09671-6
ISSN
0095-4616
1432-0606
Abstract
We study an optimal retirement, consumption/portfolio selection problem of an economic agent in a non-Markovian environment. We show that under a suitable condition the optimal retirement decision is to retire when the individual's wealth reaches a threshold level. We express the value and the optimal strategy by using the strong solution of the backward stochastic partial differential variational inequality (BSPDVI) associated with the dual problem. We derive properties of the value function and the optimal strategy by analyzing the strong solution and the free boundary of the BSPDVI. We also make a methodological contribution by proposing an approach to investigate properties of the strong solution and the stochastic free boundary of BSPDVI by combining a probabilistic method and the theory of backward stochastic partial differential equations (BSPDEs).
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