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Incorporating Convexity in Bond Portfolio Immunization Using Multifactor Model: A Semidefinite Programming Approach
Online published: 2018-03-30
Supported by
This research is partially supported by the National Natural Science Foundation of China (Nos. 71471180 and 71571062).
Bond portfolio immunization is a classical issue in finance. Since Macaulay gave the concept of duration in 1938, many scholars proposed different kinds of duration immunization models. In the literature of bond portfolio immunization using multifactor model, to the best of our knowledge, researchers only use the first-order immunization, which is usually called as duration immunization, and no one has considered second-order effects in immunization, which is well known as “convexity” in the case of single-factor model. In this paper, we introduce the second-order information associated with multifactor model into bond portfolio immunization and reformulate the corresponding problems as tractable semidefinite programs. Both simulation analysis and empirical study show that the second-order immunization strategies exhibit more accurate approximation to the value change of bonds and thus result in better immunization performance.
Wei Zhu, Cai-Hong Zhang, Qian Liu, Shu-Shang Zhu . Incorporating Convexity in Bond Portfolio Immunization Using Multifactor Model: A Semidefinite Programming Approach[J]. Journal of the Operations Research Society of China, 2018 , 6(1) : 3 -23 . DOI: 10.1007/s40305-018-0196-4
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