Abstract
Previous chapters have addressed various aspects of estimating expectations with a view toward computing the prices of derivative securities. This chapter develops methods for estimating sensitivities of expectations, in particular the derivatives of derivative prices commonly referred to as “Greeks.” From the discussion in Section 1.2.1, we know that in an idealized setting of continuous trading in a complete market, the payoff of a contingent claim can be manufactured (or hedged) through trading in underlying assets. The risk in a short position in an option, for example, is offset by a delta-hedging strategy of holding delta units of each underlying asset, where delta is simply the partial derivative of the option price with respect to the current price of that underlying asset. Implementation of the strategy requires knowledge of these price sensitivities; sensitivities with respect to other parameters are also widely used to measure and manage risk. Whereas the prices themselves can often be observed in the market, their sensitivites cannot, so accurate calculation of sensitivities is arguably even more important than calculation of prices. We will see, however, that derivative estimation presents both theoretical and practical challenges to Monte Carlo simulation.
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© 2004 Springer Science+Business Media New York
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Glasserman, P. (2004). Estimating Sensitivities. In: Monte Carlo Methods in Financial Engineering. Stochastic Modelling and Applied Probability, vol 53. Springer, New York, NY. https://doi.org/10.1007/978-0-387-21617-1_7
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DOI: https://doi.org/10.1007/978-0-387-21617-1_7
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-1822-2
Online ISBN: 978-0-387-21617-1
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