Abstract
AbstractIn this paper, we introduce the concept of standardized call function and we obtain a new approximating formula for the Black and Scholes call function through the hyperbolic tangent. Differently from other solutions proposed in the literature, this formula is invertible; hence, it is useful for pricing and risk management as well as for extracting the implied volatility from quoted options. The latter is of particular importance since it indicates the risk of the underlying and it is the main component of the option’s price. That is what trading desks focus on. Further we estimate numerically the approximating error of the suggested solution and, by comparing our results in computing the implied volatility with the most common methods available in the literature, we discuss the challenges of this approach.
Funder
Università degli Studi di Bari Aldo Moro
Publisher
Springer Science and Business Media LLC
Subject
General Economics, Econometrics and Finance,Finance
Reference50 articles.
1. Bharadia, M., Christofides, N., Salkin, G.: Computing the Black–Scholes implied volatility: generalization of a simple formula. Adv. Futures Options Res. 8, 15–30 (1995)
2. Black, F., Scholes, M.: The pricing of options and corporate liabilities. J. Polit. Econ. 81(3), 637–654 (1973)
3. Bowling, S.R., Khasawneh, M.T., Sittichai, K., Cho, B.R.: A logistic approximation to the cumulative normal distribution. J. Ind. Eng. Manag. 2(1), 114–127 (2009)
4. Brenner, M., Subrahmanyam, M.G.: A simple formula to compute implied standard deviation. Financ. Anal. J. 44(5), 80–83 (1998)
5. Cao, J., Chen, J., Hull, J.C.: A neural network approach to understanding implied volatility movements (2019). Available at SSRN https://ssrn.com/abstract=3288067
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