We show how spectral filtering techniques can improve the convergence of numerical schemes which use discrete Hilbert transforms based on a sinc function expansion, and thus ultimately on the fast Fourier transform. This is relevant, for example, for the computation of fluctuation identities,...

Distributed Ledger Technology (DLT) is in a very early stage of development. Sometimes confused with the blockchain technology underlying bitcoin, it is supposed to be its evolution designed to avoid the architectural choices that make bitcoin and blockchain unsuitable for securities settlement...

In this paper, we present a transform-based algorithm for pricing discretely monitored arithmetic Asian options with remarkable accuracy in a general stochastic volatility framework, including affine models and time-changed Lévy processes. The accuracy is justified both theoretically and...

This paper proposes an integrated pricing framework for CVA of equity and commoditiy portfolios. The given framework, in fact, generates dependence endogenously, allows for calibration and pricing to be based on the same numerical schemes (up to Monte Carlo simulation), and also naturally allows...

We present new numerical schemes for pricing perpetual Bermudan and American options as well as α-quantile options. This includes a new direct calculation of the optimal exercise barrier for early-exercise options. Our approach is based on the Spitzer identities for general Lèvy processes and...

We analyze Sovereign Bond-Backed Securities, concentrating our attention on the return of the different tranches and on their risk. We show that as the correlation level among defaults increases, the yield rate of senior tranches increases while the yield rate of junior tranches decreases. A...