Reconstruction of the local volatility function using the Black–Scholes model

2021 ◽  
Vol 51 ◽  
pp. 101341
Author(s):  
Sangkwon Kim ◽  
Hyunsoo Han ◽  
Hanbyeol Jang ◽  
Darae Jeong ◽  
Chaeyoung Lee ◽  
...  
2019 ◽  
Vol 59 (10) ◽  
pp. 1753-1758 ◽  
Author(s):  
V. M. Isakov ◽  
S. I. Kabanikhin ◽  
A. A. Shananin ◽  
M. A. Shishlenin ◽  
S. Zhang

2014 ◽  
Vol 17 (02) ◽  
pp. 1450010 ◽  
Author(s):  
EMMANUEL GOBET ◽  
JULIEN HOK

A wide class of hybrid products are evaluated with a model where one of the underlying price follows a local volatility diffusion and the other asset value a log-normal process. Because of the generality for the local volatility function, the numerical pricing is usually much time consuming. Using proxy approximations related to log-normal modeling, we derive approximation formulas of Black–Scholes type for the price, that have the advantage of giving very rapid numerical procedures. This derivation is illustrated with the best-of option between equity and inflation where the stock price follows a local volatility model and the inflation rate a Hull–White process. The approximations possibly account for Gaussian HJM (Heath-Jarrow-Morton) models for interest rates. The experiments show an excellent accuracy.


2016 ◽  
Vol 57 (3) ◽  
pp. 319-338
Author(s):  
T. G. LING ◽  
P. V. SHEVCHENKO

The local volatility model is a well-known extension of the Black–Scholes constant volatility model, whereby the volatility is dependent on both time and the underlying asset. This model can be calibrated to provide a perfect fit to a wide range of implied volatility surfaces. The model is easy to calibrate and still very popular in foreign exchange option trading. In this paper, we address a question of validation of the local volatility model. Different stochastic models for the underlying asset can be calibrated to provide a good fit to the current market data, which should be recalibrated every trading date. A good fit to the current market data does not imply that the model is appropriate, and historical backtesting should be performed for validation purposes. We study delta hedging errors under the local volatility model using historical data from 2005 to 2011 for the AUD/USD implied volatility. We performed backtests for a range of option maturities and strikes using sticky delta and theoretically correct delta hedging. The results show that delta hedging errors under the standard Black–Scholes model are no worse than those of the local volatility model. Moreover, for the case of in- and at-the-money options, the hedging error for the Black–Scholes model is significantly better.


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