Faster Implied Volatilities via the Implicit Function Theorem
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DOI: 10.1111/j.1540-6288.2006.00158.x
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Cited by:
- Minqiang Li & Kyuseok Lee, 2011.
"An adaptive successive over-relaxation method for computing the Black-Scholes implied volatility,"
Quantitative Finance, Taylor & Francis Journals, vol. 11(8), pages 1245-1269.
- Li, Minqiang, 2008. "An Adaptive Succesive Over-relaxation Method for Computing the Black-Scholes Implied Volatility," MPRA Paper 6867, University Library of Munich, Germany.
- Don M. Chance & Thomas A. Hanson & Weiping Li & Jayaram Muthuswamy, 2017. "A bias in the volatility smile," Review of Derivatives Research, Springer, vol. 20(1), pages 47-90, April.
- Sukhomlin, Nikolay & Santana Jiménez, Lisette Josefina, 2010. "Problema de calibración de mercado y estructura implícita del modelo de bonos de Black-Cox = Market Calibration Problem and the Implied Structure of the Black-Cox Bond Model," Revista de Métodos Cuantitativos para la Economía y la Empresa = Journal of Quantitative Methods for Economics and Business Administration, Universidad Pablo de Olavide, Department of Quantitative Methods for Economics and Business Administration, vol. 10(1), pages 73-98, December.
- Dan Stefanica & Radoš Radoičić, 2017. "An Explicit Implied Volatility Formula," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 20(07), pages 1-32, November.
- Noshaba Zulfiqar & Saqib Gulzar, 2021. "Implied volatility estimation of bitcoin options and the stylized facts of option pricing," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-30, December.
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