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Adaptive Simulation Algorithms for Pricing American and Bermudian Options by Local Analysis of Financial Market Author info | Abstract | Publisher info | Download info | Related research | Statistics Denis Belomestny
Grigori Milstein
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Here we develop an approach for efficient pricing discrete-time American and Bermudan options which employs the fact that such options are equivalent to the European ones with a consumption, combined with analysis of the market model over a small number of steps ahead. This approach allows constructing both upper and low bounds for the true price by Monte Carlo simulations. An adaptive choice of local low bounds and use of the kernel interpolation technique enhance efficiency of the whole procedure, which is supported by numerical experiments.
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Paper provided by Sonderforschungsbereich 649, Humboldt University, Berlin, Germany in its series SFB 649 Discussion Papers with number
SFB649DP2006-038.
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Length: 16 pages
Date of creation: Apr 2006Date of revision:
Handle: RePEc:hum:wpaper:sfb649dp2006-038Contact details of provider: Postal: Spandauer Str. 1,10178 Berlin Phone: +49-30-2093-5708 Fax: +49-30-2093-5617 Email: Web page: http://sfb649.wiwi.hu-berlin.de More information through EDIRC
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Keywords: American and Bermudan options ; Lower and Upper bounds ; Monte Carlo simulation ; Variance reduction ; Other versions of this item:
Find related papers by JEL classification: C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Statistical Simulation Methods G12 - Financial Economics - - General Financial Markets - - - Asset Pricing
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