Zobrazeno 1 - 7
of 7
pro vyhledávání: '"NAT CHUN-HO LEUNG"'
Publikováno v:
SIAM Journal on Scientific Computing. 40:B1-B31
In this paper, we study a partial differential equation (PDE) framework for option pricing where the underlying factors exhibit stochastic correlation, with an emphasis on computation. We derive a multi-dimensional time-dependent PDE for the correspo
Publikováno v:
SIAM Journal on Numerical Analysis. 56:1731-1757
In this paper, we study the error of a second order finite difference scheme for the one-dimensional convection-diffusion equation. We consider non-smooth initial conditions commonly encountered in financial pricing applications. For these initial co
Publikováno v:
SSRN Electronic Journal.
Modelling correlation between financial quantities is important in the accurate pricing of financial derivatives. In this paper, we introduce some stochasticity in correlation, by considering a regime-switching correlation model, in which the transit
Publikováno v:
SSRN Electronic Journal.
In this paper, we develop a robust numerical method in pricing options, when the underlying asset follows a jump diffusion model. We demonstrate that, with the quadratic spline collocation method, the integral approximation in the pricing PIDE is int
Autor:
Nat Chun-Ho Leung, Justin W. L. Wan
Publikováno v:
EMBC
Fluorescent microscopy is one of the several types of imaging techniques used by biologists to study cell activities. One challenge of tracking cells from fluorescence microscopy is that cells in fluorescent images frequently disappear and reappear.
Publikováno v:
SIAM Journal on Numerical Analysis; 2018, Vol. 56 Issue 3, p1731-1757, 27p
Autor:
Spiro Karigiannis, Nat Chun-Ho Leung
We extend the "bundle constructions" of calibrated submanifolds, due to Harvey--Lawson in the special Lagrangian case, and to Ionel--Karigiannis--Min-Oo in the cases of exceptional calibrations, by "twisting" the bundles by a special (harmonic, holom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::54fc129f29bd104ba31836fb77d3b5e6