Discrete Algorithms for Multivariate Financial Calculus

Tunaru, Radu (2010) Discrete Algorithms for Multivariate Financial Calculus. In: Crisan, Dan, ed. Stochastic Analysis. Springer, pp. 243-266. ISBN 9783642153570. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not available from this repository. (Contact us about this Publication)


Quantitative financial calculus is dominated by calculations of integrals related to various moments of probability distributions used for modelling. Here, we develop a general technique that facilitates the numerical calculations of options, prices for the difficult case of mult-assets, for the majority of European payoff contracts. The algorithms proposed here rely on known weak convergence results, hence making use of the gaussian probability kernel even when modelling with non-gaussian distributions. In addition, this technique can be employed for calculating greek parameter. We prove that the weak convergence characterizing condition can still be applied under some mild assumption on the payoff function of financial options.

Item Type: Book section
Subjects: H Social Sciences > H Social Sciences (General)
Divisions: Faculties > Social Sciences > Kent Business School > Accounting and Finance
Depositing User: Cathy Norman
Date Deposited: 02 Feb 2012 16:26
Last Modified: 10 Jun 2014 10:57
Resource URI: https://kar.kent.ac.uk/id/eprint/28647 (The current URI for this page, for reference purposes)
  • Depositors only (login required):