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Sensitivity of optimal consumption streams
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Herdegen, Martin and Muhle-Karbe, Johannes (2019) Sensitivity of optimal consumption streams. Stochastic Processes and their Applications, 129 (6). pp. 1964-1992. doi:10.1016/j.spa.2018.06.011 ISSN 0304-4149.
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Official URL: https://doi.org/10.1016/j.spa.2018.06.011
Abstract
We study the sensitivity of optimal consumption streams with respect to perturbations of the random endowment. At the leading order, the consumption adjustment does not matter: any choice that matches the budget constraint simply shifts the original utility by the marginal value of the perturbation. Nontrivial results can be obtained by considering the next-to-leading order. Here, one first solves the problem for a deterministic perturbation, which leads to a "prognosis measure''. The desired consumption adjustment for a general endowment perturbation is in turn given by the conditional expectation of the latter, computed under this measure and appropriately weighted with the conditional expectations of the remaining risk-tolerance.
Item Type: | Journal Article | ||||||||
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Subjects: | H Social Sciences > HB Economic Theory | ||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Statistics | ||||||||
Library of Congress Subject Headings (LCSH): | Consumption (Economics), Investments, Perturbation (Mathematics), Econometrics -- Asymptotic theory | ||||||||
Journal or Publication Title: | Stochastic Processes and their Applications | ||||||||
Publisher: | Elsevier Science BV | ||||||||
ISSN: | 0304-4149 | ||||||||
Official Date: | June 2019 | ||||||||
Dates: |
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Volume: | 129 | ||||||||
Number: | 6 | ||||||||
Page Range: | pp. 1964-1992 | ||||||||
DOI: | 10.1016/j.spa.2018.06.011 | ||||||||
Status: | Peer Reviewed | ||||||||
Publication Status: | Published | ||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||
Date of first compliant deposit: | 4 July 2018 | ||||||||
Date of first compliant Open Access: | 23 October 2018 | ||||||||
RIOXX Funder/Project Grant: |
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