Partial differential operators in finance often originate in bounded linear stochastic processes. As a consequence, diffusion over these boundaries is zero and the corresponding coefficients vanish. The choice of parameters and stretched grids lead to additional anisotropies in the discrete equations or inequalities. In this study various block smoothers are tested in numerical experiments for equations of Black–Scholes-type (European options) in several dimensions. For linear complementarity problems, as they arise from optimal stopping time problems (American options), the choice of grid transfer is also crucial to preserve complementarity conditions on all grid levels. We adapt the transfer operators at the free boundary in a suitable wa...
AbstractBlack-Scholes model for the basket options is used to valuate S & P 500, DAX and other Stock...
We price multi-asset options by solving their price partial differential equations using a meshfree ...
A major challenge in computational finance is the pricing of options that depend on a large number o...
Partial differential operators in finance often originate in bounded linear stochastic processes. As...
Partial differential operators in finance often originate in bounded linear stochastic processes. As...
Abstract. Partial di®erential operators in ¯nance of-ten originate in bounded linear stochastic proc...
AbstractIn this paper we analyse the behaviour, near expiry, of the free boundary appearing in the p...
We extend the viscosity solution characterization proved in [5] for call/put American option prices ...
We extend the viscosity solution characterization proved in [5] for call/put American option prices ...
Pricing single asset American options is a hard problem in mathematical finance. There are no closed...
Due to transaction costs, illiquid markets, large investors or risks from an unprotected portfolio t...
We present globally convergent multigrid methods for the nonsymmetric obstacle problems as arising f...
Pricing single asset American options is a hard problem in mathematical finance. There are no closed...
AbstractWe propose and test a new method for pricing American options in a high-dimensional setting....
Due to transaction costs, illiquid markets, large investors or risks from an unprotected portfolio ...
AbstractBlack-Scholes model for the basket options is used to valuate S & P 500, DAX and other Stock...
We price multi-asset options by solving their price partial differential equations using a meshfree ...
A major challenge in computational finance is the pricing of options that depend on a large number o...
Partial differential operators in finance often originate in bounded linear stochastic processes. As...
Partial differential operators in finance often originate in bounded linear stochastic processes. As...
Abstract. Partial di®erential operators in ¯nance of-ten originate in bounded linear stochastic proc...
AbstractIn this paper we analyse the behaviour, near expiry, of the free boundary appearing in the p...
We extend the viscosity solution characterization proved in [5] for call/put American option prices ...
We extend the viscosity solution characterization proved in [5] for call/put American option prices ...
Pricing single asset American options is a hard problem in mathematical finance. There are no closed...
Due to transaction costs, illiquid markets, large investors or risks from an unprotected portfolio t...
We present globally convergent multigrid methods for the nonsymmetric obstacle problems as arising f...
Pricing single asset American options is a hard problem in mathematical finance. There are no closed...
AbstractWe propose and test a new method for pricing American options in a high-dimensional setting....
Due to transaction costs, illiquid markets, large investors or risks from an unprotected portfolio ...
AbstractBlack-Scholes model for the basket options is used to valuate S & P 500, DAX and other Stock...
We price multi-asset options by solving their price partial differential equations using a meshfree ...
A major challenge in computational finance is the pricing of options that depend on a large number o...