
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.
Applications of statistics to actuarial sciences and financial mathematics, foreign exchange options, FOS: Economics and business, model validation, backtesting, Derivative securities (option pricing, hedging, etc.), Pricing of Securities (q-fin.PR), local volatility model, Quantitative Finance - Pricing of Securities, implied volatility
Applications of statistics to actuarial sciences and financial mathematics, foreign exchange options, FOS: Economics and business, model validation, backtesting, Derivative securities (option pricing, hedging, etc.), Pricing of Securities (q-fin.PR), local volatility model, Quantitative Finance - Pricing of Securities, implied volatility
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