16
IRUS TotalDownloads
Altmetric
A note on P- vs. Q-expected loss portfolio constraints
Title: | A note on P- vs. Q-expected loss portfolio constraints |
Authors: | Gu, J-W Steffensen, M Zheng, H |
Item Type: | Journal Article |
Abstract: | We consider portfolio optimization problems with expected loss constraints un-der the physical measure P and the risk neutral measure Q, respectively. Using Merton’s portfolio as a benchmark portfolio, the optimal terminal wealth of the Q-risk constraint problem can be easily replicated with the standard delta hedg-ing strategy. Motivated by this, we consider the Q-strategy fulfilling the P-risk constraint and compare its solution with the true optimal solution of theP-riskconstraint problem. We show the existence and uniqueness of the optimal solution to theQ-strategy fulfilling theP-risk constraint, and provide a tractable evalua-tion method. The Q-strategy fulfilling the P-risk constraint is not only easier toimplement with standard forwards and puts on a benchmark portfolio than the P-risk constraint problem, but also easier to solve than either of theQ- or P-riskconstraint problem. The numerical test shows that the difference of the values ofthe two strategies (the Q-strategy fulfilling the P-risk constraint and the optimal strategy solving the P-risk constraint problem) is reasonably small. |
Issue Date: | 1-Feb-2021 |
Date of Acceptance: | 24-Apr-2020 |
URI: | http://hdl.handle.net/10044/1/79808 |
DOI: | 10.1080/14697688.2020.1764086 |
ISSN: | 1469-7688 |
Publisher: | Taylor & Francis (Routledge) |
Start Page: | 263 |
End Page: | 270 |
Journal / Book Title: | Quantitative Finance |
Volume: | 21 |
Issue: | 2 |
Copyright Statement: | © 2020 Informa UK Limited, trading as Taylor & Francis Group. This is an Accepted Manuscript of an article published by Taylor & Francis in Quantitative Finance on 28 Jul 2020, available online: https://www.tandfonline.com/doi/full/10.1080/14697688.2020.1764086 |
Keywords: | Social Sciences Science & Technology Physical Sciences Business, Finance Economics Mathematics, Interdisciplinary Applications Social Sciences, Mathematical Methods Business & Economics Mathematics Mathematical Methods In Social Sciences Optimal Portfolio Expected loss constraint Physical measure P Risk-neutral measure Q Q-strategy fulfilling P-risk constraint CONSUMPTION POLICIES Finance 01 Mathematical Sciences 14 Economics 15 Commerce, Management, Tourism and Services |
Publication Status: | Published |
Online Publication Date: | 2020-07-28 |
Appears in Collections: | Financial Mathematics Faculty of Natural Sciences Mathematics |