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Multivariate Additive Subordination with Applications in Finance

Amici, G., Ballotta, L. ORCID: 0000-0002-2059-6281 & Semeraro, P. (2024). Multivariate Additive Subordination with Applications in Finance. European Journal of Operational Research, 321(3), pp. 1004-1020. doi: 10.1016/j.ejor.2024.10.010

Abstract

We introduce a tractable multivariate pure jump process in which the trading time is described by an additive subordinator. The multivariate process retains the additivity property, and therefore is time inhomogeneous, i.e., its increments are independent but non stationary. We provide the theoretical framework of our process, perform a sensitivity analysis with respect to the time inhomogeneity parameters, and design a Monte Carlo scheme to simulate the trajectories of the process. We then employ the model in the context of option pricing in the FX market. We take advantage of the specific features of currency triangles to extract the joint dynamics of FX log-rates. Extensive tests based on observed market data show that our model outperforms well established pure jump benchmarks.

Publication Type: Article
Additional Information: © 2024. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/
Publisher Keywords: Finance, Additive subordination, Multivariate stochastic processes, Option pricing, Currency triangles
Subjects: H Social Sciences > HG Finance
Departments: Bayes Business School
Bayes Business School > Finance
SWORD Depositor:
[thumbnail of TICT_clean.pdf] Text - Accepted Version
This document is not freely accessible until 15 October 2026 due to copyright restrictions.
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