Abstract
A key task in financial engineering is the fast and accurate calculation of sensitivities of market models with respect to model parameters. This becomes necessary, for example, in model calibration, risk analysis and in the pricing and hedging of certain derivative contracts. Classical examples are variations of option prices with respect to the spot price or with respect to time-to-maturity, the so-called “Greeks” of the model. For classical, diffusion type models and plain vanilla type contracts, the Greeks can be obtained analytically. With the trends to more general market models of jump–diffusion type and to more complicated contracts, closed form solutions are generally not available for pricing and calibration. Thus, prices and model sensitivities have to be approximated numerically.
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References
Y. Achdou and O. Pironneau. Computational methods for option pricing, volume 30 of Frontiers in Applied Mathematics. Society for Industrial and Applied Mathematics (SIAM), Philadelphia, 2005.
N. Hilber, Ch. Schwab, and Ch. Winter. Variational sensitivity analysis of parametric Markovian market models. In Ł. Stettner, editor, Advances in mathematics of finance, volume 83, of Banach Center Publ., pages 85–106. 2008.
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Hilber, N., Reichmann, O., Schwab, C., Winter, C. (2013). Sensitivities and Greeks. In: Computational Methods for Quantitative Finance. Springer Finance. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35401-4_11
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DOI: https://doi.org/10.1007/978-3-642-35401-4_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35400-7
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