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This article is cited in 13 scientific papers (total in 13 papers)
Algorithm for determining the volatility function in the Black–Scholes model
V. M. Isakova, S. I. Kabanikhinbcd, A. A. Shananine, M. A. Shishleninbdc, S. Zhangf a Department of Mathematics and Statistics, Wichita State University, Wichita, Kansas, 67260-0033 USA
b Institute of Computational Mathematics and Mathematical Geophysics of Siberian Branch of Russian Academy of Sciences
c Sobolev Institute of Mathematics, Russian Academy of Sciences, Novosibirsk, 630090 Russia
d Novosibirsk State University, Novosibirsk, 630090 Russia
e Moscow Institute of Physics and Technology, Dolgoprudnyi, Moscow oblast, 141700 Russia
f Beijing, Tianjin University of Finance and Economics, China
Abstract:
An algorithm for reconstructing the volatility function in the modified Black–Scholes model is developed. Results of numerical computations are presented. It is shown that adding information about the prices of similar options with different issue dates makes it possible to improve the accuracy and increase the interval in which the volatility function can be reconstructed.
Key words:
Black–Scholes equation, coefficient inverse problem, optimization, local volatility.
Received: 21.04.2019 Revised: 10.06.2019 Accepted: 10.06.2019
Citation:
V. M. Isakov, S. I. Kabanikhin, A. A. Shananin, M. A. Shishlenin, S. Zhang, “Algorithm for determining the volatility function in the Black–Scholes model”, Zh. Vychisl. Mat. Mat. Fiz., 59:10 (2019), 1815–1820; Comput. Math. Math. Phys., 59:10 (2019), 1753–1758
Linking options:
https://www.mathnet.ru/eng/zvmmf10975 https://www.mathnet.ru/eng/zvmmf/v59/i10/p1815
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