Acta mathematica Universitatis Comenianae, Tome 84 (2015) no. 2, pp. 179-190
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Long Teng; Matthias Ehrhardt; Michael Günther; Long Teng; Matthias Ehrhardt; Michael Günther. Option pricing with dynamically correlated stochastic interest rate. Acta mathematica Universitatis Comenianae, Tome 84 (2015) no. 2, pp. 179-190. http://geodesic.mathdoc.fr/item/AMUC_2015_84_2_a0/
@article{AMUC_2015_84_2_a0,
author = {Long Teng and Matthias Ehrhardt and Michael G\"unther and Long Teng and Matthias Ehrhardt and Michael G\"unther},
title = { Option pricing with dynamically correlated stochastic interest rate},
journal = {Acta mathematica Universitatis Comenianae},
pages = {179--190},
year = {2015},
volume = {84},
number = {2},
url = {http://geodesic.mathdoc.fr/item/AMUC_2015_84_2_a0/}
}
TY - JOUR
AU - Long Teng
AU - Matthias Ehrhardt
AU - Michael Günther
AU - Long Teng
AU - Matthias Ehrhardt
AU - Michael Günther
TI - Option pricing with dynamically correlated stochastic interest rate
JO - Acta mathematica Universitatis Comenianae
PY - 2015
SP - 179
EP - 190
VL - 84
IS - 2
UR - http://geodesic.mathdoc.fr/item/AMUC_2015_84_2_a0/
ID - AMUC_2015_84_2_a0
ER -
%0 Journal Article
%A Long Teng
%A Matthias Ehrhardt
%A Michael Günther
%A Long Teng
%A Matthias Ehrhardt
%A Michael Günther
%T Option pricing with dynamically correlated stochastic interest rate
%J Acta mathematica Universitatis Comenianae
%D 2015
%P 179-190
%V 84
%N 2
%U http://geodesic.mathdoc.fr/item/AMUC_2015_84_2_a0/
%F AMUC_2015_84_2_a0
In this work we review several option pricing models with stochastic interestrate and extend this model by incorporating local time dependent correlationbetween the underlying and the interest rate. We compare the dierence betweenusing a constant and a dynamic correlation by analyzing some numerical benchmarks.Furthermore, we conduct an experiment on tting the pricing model to themarket price. Our analysis shows that the option pricing within the Black-Scholesframework can not really be improved by incorporating stochastic interest rate evenwhen using a nonlinear correlation.