scholarly journals A fast preconditioned policy iteration method for solving the tempered fractional HJB equation governing American options valuation

2017 ◽  
Vol 73 (9) ◽  
pp. 1932-1944 ◽  
Author(s):  
Xu Chen ◽  
Wenfei Wang ◽  
Deng Ding ◽  
Siu-Long Lei
Author(s):  
Sudeep Kundu ◽  
Karl Kunisch

AbstractPolicy iteration is a widely used technique to solve the Hamilton Jacobi Bellman (HJB) equation, which arises from nonlinear optimal feedback control theory. Its convergence analysis has attracted much attention in the unconstrained case. Here we analyze the case with control constraints both for the HJB equations which arise in deterministic and in stochastic control cases. The linear equations in each iteration step are solved by an implicit upwind scheme. Numerical examples are conducted to solve the HJB equation with control constraints and comparisons are shown with the unconstrained cases.


2019 ◽  
Vol 20 (4) ◽  
pp. 525-537
Author(s):  
Li-dong Zhang ◽  
Ban Wang ◽  
Zhi-xiang Liu ◽  
You-min Zhang ◽  
Jian-liang Ai

1992 ◽  
Vol 14 (9) ◽  
pp. 952-958 ◽  
Author(s):  
A.C.M. Dumay ◽  
M.N.A.J. Claessens ◽  
C. Roos ◽  
J.J. Gerbrands ◽  
J.H.C. Reiber

2008 ◽  
Vol 8 (2) ◽  
pp. 135-146 ◽  
Author(s):  
Christian Bender ◽  
Anastasia Kolodko ◽  
John Schoenmakers

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