Title
A bootstrapping market implied moment matching calibration for models with time-dependent parametersA bootstrapping market implied moment matching calibration for models with time-dependent parameters
Author
Faculty/Department
Faculty of Sciences. Mathematics and Computer Science
Research group
Applied mathematics
Publication type
article
Publication
Antwerp,
Subject
Mathematics
Source (journal)
Journal of computational and applied mathematics. - Antwerp
Volume/pages
271(2014), p. 100-116
ISSN
0377-0427
ISI
000337862400008
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
This paper extends the moment matching market implied calibration procedure (Guillaume and Schoutens 2012) to Markov models with piecewise constant parameters between successive quoted option maturities. The Markov property allows us to determine the parameter set of each subprocess by a bootstrapping moment matching calibration. This sequential calibration arises naturally due to the additive property of cumulants of independent random variables and consists in solving M independent moment matching systems of N equations, where M and N denote the number of quoted maturities and the number of parameters, respectively. As shown in Guillaume and Schoutens (2012), for popular Levy processes, these systems can be transformed into M systems of algebraic equations which give directly the N model parameters of each subprocess in terms of the second to the (N + 1)th standardized moments of the log asset return process between successive maturity times. For the numerical study, we work out the bootstrapping moment matching calibration under two popular Levy models with piecewise constant parameters, namely the VG and Meixner models and compare its performance with existing calibration procedures for term structure models. (C) 2014 Elsevier B.V. All rights reserved.
E-info
https://repository.uantwerpen.be/docman/iruaauth/62bacf/d307901.pdf
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