Multivariate Asset Models Using Levy Processes and Applications
Ballotta, L. & Bonfiglioli, E. (2016). Multivariate Asset Models Using Levy Processes and Applications. The European Journal of Finance, 22(13), pp. 1320-1350. doi: 10.1080/1351847x.2013.870917
Abstract
In this paper we propose a multivariate asset model based on L´evy processes for pricing of products written on more than one underlying asset. Our construction is based on a two factor representation of the dynamics of the asset log-returns. We investigate the properties of the model and introduce a multivariate generalization of some processes which are quite common in financial applications, such as subordinated Brownian motions, jump diffusion processes and time changed L´evy processes. Finally, we explore the issue of model calibration for the proposed setting and illustrate its robustness on a number of numerical examples.
Publication Type: | Article |
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Additional Information: | This is an Accepted Manuscript of an article published in The European Journal of Finance on 10 April 2014, available online: http://www.tandfonline.com/10.1080/1351847X.2013.870917. Article in press. |
Publisher Keywords: | Jump Diffusion process, Levy processes, model calibration, multinames derivative contracts, time changed Brownian motions |
Subjects: | H Social Sciences > HG Finance |
Departments: | Bayes Business School > Finance |
SWORD Depositor: |
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