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Pricing of Exotic Options

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Tools for Computational Finance

Part of the book series: Universitext ((UTX))

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Abstract

In Chapter 4 we have discussed the pricing of plain-vanilla options by means of finite differences. The methods were based on the simple partial differential equation (4.2),

$$$${}_{{c_j}}{S^j}\frac{{{\partial ^j}y}}{{\partial {S^j}}}$$$$

which was obtained from the Black-Scholes equation (4.1) for V (S, t) via the transformations (4.3). These transformations could be applied because ∂V/∂t in the Black-Scholes equation is a linear combination of terms of the type

$$$$d{X_t} = a({X_t},t)dt + b({X_t},t)d{W_t}\quad for\quad 0 \leqslant t \leqslant T.$$$$

with constants c i , j = 0, 1, 2.

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References

  1. The name has no geographical relevance.

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  2. after interpolation; MATLAB graphics; courtesy of S. Göbel; simlar [ZFV99]

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  3. In fact, the situation is more subtle. We postpone an outline of how dispersion is responsible for the oscillations to the Section 6.4.2.

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  4. This notation with σ is not related with volatility.

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  5. repeated independent trials, where only two possible outcomes are possible for each trial, such as tossing a coin

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  6. These digits are listed in [Moro95].

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© 2004 Springer-Verlag Berlin Heidelberg

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Seydel, R. (2004). Pricing of Exotic Options. In: Tools for Computational Finance. Universitext. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-22551-6_6

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  • DOI: https://doi.org/10.1007/978-3-662-22551-6_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40604-4

  • Online ISBN: 978-3-662-22551-6

  • eBook Packages: Springer Book Archive

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