We propose a new Quantization algorithm for the approximation of inhomogeneous random walks, which are the key terms for the valuation of CDO-tranches in latent factor models. This approach is based on a dual quantization operator which posses an intrinsic stationarity and therefore...

In this paper, we suggest several improvements to the numerical implementation of the quantization method for stochastic control problems in order to obtain fast and accurate premium estimations. This technique is applied to derivative pricing in energy markets. Several ways of modeling energy...

The pricing of American style and multiple exercise options is a very challenging problem in mathematical finance. One usually employs a Least-Square Monte Carlo approach (Longstaff-Schwartz method) for the evaluation of conditional expectations which arise in the Backward Dynamic Programming...

Summury For a probability measure P on R d and n ∊ N consider e n = inf ∫ min a∊α V (|| x − a ||) dP ( x ) where the infimum is taken over all subsets α of R d with card(α) ≤ n and V is a nondecreasing function. Under certain conditions on V , we derive the precise n -asymptotics of...