Solving the double barrier reflected BSDEs via penalization method

2016 ◽  
Vol 110 ◽  
pp. 74-83 ◽  
Author(s):  
Min Li ◽  
Yufeng Shi

2012 ◽  
Vol 2012 ◽  
pp. 1-15
Author(s):  
Lifeng Wei ◽  
Zhen Wu

Under the notable Issacs's condition on the Hamiltonian, the existence results of a saddle point are obtained for the stochastic recursive zero-sum differential game and mixed differential game problem, that is, the agents can also decide the optimal stopping time. The main tools are backward stochastic differential equations (BSDEs) and double-barrier reflected BSDEs. As the motivation and application background, when loan interest rate is higher than the deposit one, the American game option pricing problem can be formulated to stochastic recursive mixed zero-sum differential game problem. One example with explicit optimal solution of the saddle point is also given to illustrate the theoretical results.



2017 ◽  
Vol 4 (4) ◽  
pp. 353-379 ◽  
Author(s):  
Mohamed Marzougue ◽  
Mohamed El Otmani


2018 ◽  
Vol 12 (4) ◽  
Author(s):  
Mohamed Marzougue ◽  
Mohamed El Otmani


1998 ◽  
Vol 184-185 (1-2) ◽  
pp. 806-809
Author(s):  
M Keim


1988 ◽  
Vol 24 (3) ◽  
pp. 187 ◽  
Author(s):  
P.D. Hodson ◽  
D.J. Robbins ◽  
R.H. Wallis ◽  
J.I. Davies ◽  
A.C. Marshall


2021 ◽  
pp. 109058
Author(s):  
Mun-Chol Kim ◽  
Hun O


Author(s):  
Luca Vincenzo Ballestra

AbstractWe show that the performances of the finite difference method for double barrier option pricing can be strongly enhanced by applying both a repeated Richardson extrapolation technique and a mesh optimization procedure. In particular, first we construct a space mesh that is uniform and aligned with the discontinuity points of the solution being sought. This is accomplished by means of a suitable transformation of coordinates, which involves some parameters that are implicitly defined and whose existence and uniqueness is theoretically established. Then, a finite difference scheme employing repeated Richardson extrapolation in both space and time is developed. The overall approach exhibits high efficacy: barrier option prices can be computed with accuracy close to the machine precision in less than one second. The numerical simulations also reveal that the improvement over existing methods is due to the combination of the mesh optimization and the repeated Richardson extrapolation.



2004 ◽  
Vol 40 (4) ◽  
pp. 413-419 ◽  
Author(s):  
D.-F. Guo ◽  
J.-Y. Chen ◽  
H.-M. Chuang ◽  
C.-Y. Chen ◽  
W.-C. Liu


2006 ◽  
Vol 74 (3) ◽  
Author(s):  
Yuquan Wang ◽  
Ning Yang ◽  
Jia-Lin Zhu


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