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https://hdl.handle.net/10356/149141
Title: | Mean‐variance hedging with basis risk | Authors: | Xue, Xiaole Zhang, Jingong Weng, Chengguo |
Keywords: | Business::Finance | Issue Date: | 2019 | Source: | 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 | Journal: | Applied Stochastic Models in Business and Industry | Abstract: | 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. | URI: | https://hdl.handle.net/10356/149141 | ISSN: | 1526-4025 | DOI: | 10.1002/asmb.2380 | Rights: | 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. | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | NBS Journal Articles |
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