AbstractWe introduce a forward scheme for simulating backward SDEs. Compared to existing schemes, ours avoids high order nestings of conditional expectations backwards in time. In this way the error, when approximating the conditional expectation, depending on the time partition, is significantly reduced. Besides this generic result, we present an implementable algorithm and prove its convergence. Finally, we demonstrate the strength of the new algorithm by solving a financial problem numerically
In this thesis, we consider a class of stochastic dynamics running backwards, so called backward sto...
In this thesis, we provide convergent numerical solutions to non-linear forward-BSDEs (Backward Stoc...
This paper proposes a new closed-form approximation scheme for the forward-backward stochastic diffe...
We introduce a forward scheme to simulate backward SDEs and analyze the error of the scheme. Finally...
AbstractWe introduce a forward scheme for simulating backward SDEs. Compared to existing schemes, ou...
We introduce a forward scheme for simulating backward SDEs. Compared to existing schemes, ours avoid...
We introduce a forward scheme to simulate backward SDEs. Compared to existing schemes, we avoid high...
We study the problem'bfthe numerical solution to BSDEs from a weak approximation viewpoint. The firs...
We introduce a forward scheme to simulate backward SDEs and demonstrate the strength of the new algo...
This paper aims to open a door to Monte-Carlo methods for numerically solving Forward-Backward SDEs,...
The main aims of this research are to study various numerical schemes in the approximation of the oc...
We introduce a novel numerical approach for a class of stochastic dynamic programs which arise as di...
We introduce a forward scheme to simulate backward SDEs and demonstrate the strength of the new algo...
In this work, we apply the Stochastic Grid Bundling Method (SGBM) to numerically solve backward stoc...
We develop a Fourier method to solve quite general backward stochastic differential equa-tions (BSDE...
In this thesis, we consider a class of stochastic dynamics running backwards, so called backward sto...
In this thesis, we provide convergent numerical solutions to non-linear forward-BSDEs (Backward Stoc...
This paper proposes a new closed-form approximation scheme for the forward-backward stochastic diffe...
We introduce a forward scheme to simulate backward SDEs and analyze the error of the scheme. Finally...
AbstractWe introduce a forward scheme for simulating backward SDEs. Compared to existing schemes, ou...
We introduce a forward scheme for simulating backward SDEs. Compared to existing schemes, ours avoid...
We introduce a forward scheme to simulate backward SDEs. Compared to existing schemes, we avoid high...
We study the problem'bfthe numerical solution to BSDEs from a weak approximation viewpoint. The firs...
We introduce a forward scheme to simulate backward SDEs and demonstrate the strength of the new algo...
This paper aims to open a door to Monte-Carlo methods for numerically solving Forward-Backward SDEs,...
The main aims of this research are to study various numerical schemes in the approximation of the oc...
We introduce a novel numerical approach for a class of stochastic dynamic programs which arise as di...
We introduce a forward scheme to simulate backward SDEs and demonstrate the strength of the new algo...
In this work, we apply the Stochastic Grid Bundling Method (SGBM) to numerically solve backward stoc...
We develop a Fourier method to solve quite general backward stochastic differential equa-tions (BSDE...
In this thesis, we consider a class of stochastic dynamics running backwards, so called backward sto...
In this thesis, we provide convergent numerical solutions to non-linear forward-BSDEs (Backward Stoc...
This paper proposes a new closed-form approximation scheme for the forward-backward stochastic diffe...