Applied Modeling Techniques and Data Analysis 2. Группа авторов

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calculate the expression in the third line of equation [2.6] for h ≥ 2 (it is equal to 1 when h = 1). From Lorig et al. (2017), Proposition 3.5, we have

      [2.12]image

      where the coefficients ch,h−2q are defined recursively by

image image

      and

image

      where the dots denote the terms containing image and image∙ The functions image take the form

image

      Equation [2.6] gives

image

      Then,

image

      and

image

      As T → t and k → x, the second and third terms disappear. Calculating the derivative with respect to k, we obtain

image

      and Theorem 2.2 follows.

      Equation [2.6] takes the form

      [2.13]image

      The sets I2,h are I2,1 = {(2)}, I2,2 = {( 1, 1)}. We have a11,2(x,y,z) = 0. It follows that equation [2.10] with n = 2 includes only summation over the set I2,2 and takes the form

image

      While calculating the operator image using equation [2.8], we need to calculate only the coefficients of the three partial derivatives with respect to the variable x. We obtain

image

      The following integrals are important for calculations:

image image

      Calculation of the first term on the right-hand side of equation [2.13] using equation [2.11] may be left to the reader.

      Next, we calculate the left-hand side of equation [2.12] for h = 2. Using the Hermite polynomials H0(ζ) = 1, H1 (ζ) = 2ζ and H2(ζ) = 4ζ2 - 2, we obtain

image

      Combining everything together, we obtain the formula for image

      where the ellipsis denotes the terms satisfying the following condition: the limits of the term, its first partial derivative with respect to T and its first two partial derivatives with respect to k as (T,k) approaches (t,x) within image are all equal to 0.

      Gatheral, J. (2008). Consistent modelling of SPX and VIX options. The Fifth World Congress of the Bachelier Finance Society, London.

      Latané, H.A. and Rendleman Jr., R.J. (1976). Standard deviations of stock price ratios implied in option prices. J. Finance, 31(2), 369–381.

      Lorig, M., Pagliarani, S., Pascucci, A. (2017). Explicit implied volatilities for multifactor local-stochastic volatility models. Math. Finance, 27(3), 926–960.

      Orlando, G. and Taglialatela, G. (2017). A review on implied volatility calculation. J. Comput. Appl. Math., 320, 202–220.

      Pagliarani, S. and Pascucci, A. (2012). Analytical approximation of the transition density in a local volatility model. Cent. Eur. J. Math., 10(1), 250–270.

      Pagliarani, S. and Pascucci, A. (2017). The exact Taylor formula of the implied volatility. Finance Stoch., 21(3), 661–718.

      Chapter written by Mohammed ALBUHAYRI, Anatoliy MALYARENKO, Sergei SILVESTROV, Ying NI, Christopher ENGSTRǑM, Finnan TEWOLDE and Jiahui ZHANG.

      Конец ознакомительного фрагмента.

      Текст предоставлен ООО «ЛитРес».

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