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NUMERICAL STABILITY of A HYBRID METHOD for PRICING OPTIONS

Academic Article
Publication Date:
2019
abstract:
We develop and study stability properties of a hybrid approximation of functionals of the Bates jump model with stochastic interest rate that uses a tree method in the direction of the volatility and the interest rate and a finite-difference approach in order to handle the underlying asset price process. We also propose hybrid simulations for the model, following a binomial tree in the direction of both the volatility and the interest rate, and a space-continuous approximation for the underlying asset price process coming from a Euler-Maruyama type scheme. We test our numerical schemes by computing European and American option prices.
Iris type:
01.01 Articolo in rivista
Keywords:
stochastic volatility; jump-diffusion process; European and American options; tree methods; finite-difference; numerical stability.
List of contributors:
Briani, Maya
Authors of the University:
BRIANI MAYA
Handle:
https://iris.cnr.it/handle/20.500.14243/375946
Published in:
INTERNATIONAL JOURNAL OF THEORETICAL AND APPLIED FINANCE
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http://www.scopus.com/record/display.url?eid=2-s2.0-85073743469&origin=inward
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