Cookies?
Library Header Image
LSE Research Online LSE Library Services

Stochastic integration with respect to arbitrary collections of continuous semimartingales and applications to mathematical finance

Kardaras, Constantinos ORCID: 0000-0001-6903-4506 (2023) Stochastic integration with respect to arbitrary collections of continuous semimartingales and applications to mathematical finance. Annals of Applied Probability. ISSN 1050-5164 (In Press)

[img] Text (Stochastic integration with respect to arbitrary collections of continuous semimartingales and applications to mathematical finance) - Accepted Version
Pending embargo until 1 January 2100.

Download (575kB) | Request a copy

Abstract

Stochastic integrals are defined with respect to a collection P = (Pi; i 2 I) of continuous semimartingales, imposing no assumptions on the index set I and the subspace of RI where P takes values. The integrals are constructed though finite-dimensional approximation, identifying the appropriate local geometry that allows extension to infinite dimensions. For local martingale integrators, the resulting space S(P) of stochastic integrals has an operational characterisation via a corresponding set of integrands R(C), constructed with only reference the covariation structure C of P. This bijection between R(C) and the (closed in the semimartingale topology) set S(P) extends to families of continuous semimartingale integrators for which the drift process of P belongs to R(C). In the context of infinite-asset models in Mathematical Finance, the latter structural condition is equivalent to a certain natural form of market viability. The enriched class of wealth processes via extended stochastic integrals leads to exact analogues of optional decomposition and hedging duality as the finite-asset case. A corresponding characterisation of market completeness in this setting is provided.

Item Type: Article
Official URL: https://projecteuclid.org/journals/annals-of-appli...
Additional Information: © 2023 Institute of Mathematical Statistics
Divisions: Statistics
Subjects: H Social Sciences > HA Statistics
Date Deposited: 14 Dec 2023 16:09
Last Modified: 19 Apr 2024 09:39
URI: http://eprints.lse.ac.uk/id/eprint/121057

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics