Mean‐variance hedging with basis risk

Basis risk arises in a number of financial and insurance risk management problems when the hedging assets do not perfectly match the underlying asset in a hedging program. Notable examples in insurance include the hedging for longevity risks, weather index–based insurance products, variable annuitie...

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Main Authors: Xue, Xiaole, Zhang, Jingong, Weng, Chengguo
Other Authors: Nanyang Business School
Format: Article
Language:English
Published: 2021
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Online Access:https://hdl.handle.net/10356/149141
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1491412023-05-19T07:31:18Z Mean‐variance hedging with basis risk Xue, Xiaole Zhang, Jingong Weng, Chengguo Nanyang Business School Business::Finance Optimal Hedging Basis Risk Basis risk arises in a number of financial and insurance risk management problems when the hedging assets do not perfectly match the underlying asset in a hedging program. Notable examples in insurance include the hedging for longevity risks, weather index–based insurance products, variable annuities, etc. In the presence of basis risk, a perfect hedging is impossible, and in this paper, we adopt a mean‐variance criterion to strike a balance between the expected hedging error and its variability. Under a time‐dependent diffusion model setup, explicit optimal solutions are derived for the hedging target being either a European option or a forward contract. The solutions are obtained by a delicate application of the linear quadratic control theory, the method of backward stochastic differential equation, and Malliavin calculus. A numerical example is presented to illustrate our theoretical results and their interesting implications. Accepted version Xue acknowledges financial support from the China Scholarship Council (No.: 201606220132) and the research facilities offered by University of Waterloo during his visit. Zhang thanks financial support from the Society of Actuaries (SOA) Hickman Scholarship and the Department of Statistics and Actuarial Science, University of Waterloo. Weng acknowledges the financial support from the Natural Sciences and Engineering Research Council of Canada (RGPIN-2016- 04001), SOA Centers of Actuarial Excellence Research Grant, and the National Natural Science Foundation of China (No. 71671104). 2021-05-19T03:10:05Z 2021-05-19T03:10:05Z 2019 Journal Article Xue, X., Zhang, J. & Weng, C. (2019). Mean‐variance hedging with basis risk. Applied Stochastic Models in Business and Industry, 35(3), 704-716. https://dx.doi.org/10.1002/asmb.2380 1526-4025 https://hdl.handle.net/10356/149141 10.1002/asmb.2380 3 35 704 716 en Applied Stochastic Models in Business and Industry This is the peer reviewed version of the following article: Xue, X., Zhang, J. & Weng, C. (2019). Mean‐variance hedging with basis risk. Applied Stochastic Models in Business and Industry, 35(3), 704-716. https://dx.doi.org/10.1002/asmb.2380, which has been published in final form at https://doi.org/10.1002/asmb.2380. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Business::Finance
Optimal Hedging
Basis Risk
spellingShingle Business::Finance
Optimal Hedging
Basis Risk
Xue, Xiaole
Zhang, Jingong
Weng, Chengguo
Mean‐variance hedging with basis risk
description Basis risk arises in a number of financial and insurance risk management problems when the hedging assets do not perfectly match the underlying asset in a hedging program. Notable examples in insurance include the hedging for longevity risks, weather index–based insurance products, variable annuities, etc. In the presence of basis risk, a perfect hedging is impossible, and in this paper, we adopt a mean‐variance criterion to strike a balance between the expected hedging error and its variability. Under a time‐dependent diffusion model setup, explicit optimal solutions are derived for the hedging target being either a European option or a forward contract. The solutions are obtained by a delicate application of the linear quadratic control theory, the method of backward stochastic differential equation, and Malliavin calculus. A numerical example is presented to illustrate our theoretical results and their interesting implications.
author2 Nanyang Business School
author_facet Nanyang Business School
Xue, Xiaole
Zhang, Jingong
Weng, Chengguo
format Article
author Xue, Xiaole
Zhang, Jingong
Weng, Chengguo
author_sort Xue, Xiaole
title Mean‐variance hedging with basis risk
title_short Mean‐variance hedging with basis risk
title_full Mean‐variance hedging with basis risk
title_fullStr Mean‐variance hedging with basis risk
title_full_unstemmed Mean‐variance hedging with basis risk
title_sort mean‐variance hedging with basis risk
publishDate 2021
url https://hdl.handle.net/10356/149141
_version_ 1772829001992110080