Static and dynamic SABR stochastic volatility models: Calibration and option pricing using GPUs
View/ Open
Use this link to cite
http://hdl.handle.net/2183/38104
Except where otherwise noted, this item's license is described as Atribución-NoComercial-SinDerivadas 3.0 España
Collections
- GI-M2NICA - Artigos [75]
Metadata
Show full item recordTitle
Static and dynamic SABR stochastic volatility models: Calibration and option pricing using GPUsAuthor(s)
Date
2013-08Citation
J. L. Fernández, A. M. Ferreiro, J. A. García-Rodríguez, A. Leitao, J. G. López-Salas, y C. Vázquez, «Static and dynamic SABR stochastic volatility models: Calibration and option pricing using GPUs», Mathematics and Computers in Simulation, vol. 94, pp. 55-75, ago. 2013, doi: 10.1016/j.matcom.2013.05.007.
Abstract
[Abstract]: For the calibration of the parameters in static and dynamic SABR stochastic volatility models, we propose the application of the GPU technology to the Simulated Annealing global optimization algorithm and to the Monte Carlo simulation. This calibration has been performed for EURO STOXX 50 index and EUR/USD exchange rate with an asymptotic formula for volatility or Monte Carlo simulation. Moreover, in the dynamic model we propose an original more general expression for the functional parameters, specially well suited for the EUR/USD exchange rate case. Numerical results illustrate the expected behavior of both SABR models and the accuracy of the calibration. In terms of computational time, when the asymptotic formula for volatility is used the speedup with respect to CPU computation is around 200 with one GPU. Furthermore, GPU technology allows the use of Monte Carlo simulation for calibration purposes, the computational time with CPU being prohibitive.
Keywords
Parallel Simulated Annealing
SABR volatility model
Calibration
GPUs
CUDA
SABR volatility model
Calibration
GPUs
CUDA
Description
© 2013 Elsevier. This manuscript version is made available under the CCBY-
NC-ND 4.0 license https://creativecommons.org/licenses/by-ncnd/
4.0/. This version of the article has been accepted for publication in
Mathematics and Computers in Simulation (ISSN 1872-7166). The Version
of Record is available online at 10.1016/j.matcom.2013.05.007.
Editor version
Rights
Atribución-NoComercial-SinDerivadas 3.0 España
ISSN
1872-7166
0378-4754
0378-4754