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Discrete-Time Quadratic Hedging of Barrier Options in Exponential Lévy Model

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Book cover Advanced Modelling in Mathematical Finance

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 189))

Abstract

We examine optimal quadratic hedging of barrier options in a discretely sampled exponential Lévy model that has been realistically calibrated to reflect the leptokurtic nature of equity returns. Our main finding is that the impact of hedging errors on prices is several times higher than the impact of other pricing biases studied in the literature.

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Notes

  1. 1.

    In numerical calculations with a fixed value of z we choose c so as to minimize the value of the integrand at \(\lambda =0\), see [36], Eq. (3).

  2. 2.

    Computation of the discretely monitored option price in Black–Scholes model follows the methodology of [15]. Effectively, the calculation is the same as for V in the empirical model, but the multinomial transition probabilities approximate the Black-Scholes risk-neutral distribution \(N\left( \left( r-\sigma ^{2}/2\right) \varDelta ,\sigma ^{2}\varDelta \right) \).

  3. 3.

    Objective probability distribution of log returns in the Black-Scholes model is \(N\left( \left( \mu -\sigma ^{2}/2\right) \varDelta ,\sigma ^{2}\varDelta \right) \).

  4. 4.

    The barrier with delta of \(10^{-100}\) is so high that the corresponding results are, for all intents and purposes, indistinguishable from a plain vanilla option.

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Černý, A. (2016). Discrete-Time Quadratic Hedging of Barrier Options in Exponential Lévy Model. In: Kallsen, J., Papapantoleon, A. (eds) Advanced Modelling in Mathematical Finance. Springer Proceedings in Mathematics & Statistics, vol 189. Springer, Cham. https://doi.org/10.1007/978-3-319-45875-5_12

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