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DI-fusion
Research . 2015
Data sources: DI-fusion
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SSRN Electronic Journal
Article . 2015 . Peer-reviewed
Data sources: Crossref
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Quanto Implied Correlation in a Multi-LLvy Framework

Authors: Ballota, Laura; Deelstra, Griselda; Rayée, Grégory;

Quanto Implied Correlation in a Multi-LLvy Framework

Abstract

In this paper we apply the multivariate construction for Lévy processes introduced by Ballotta and Bonfiglioli (2014) to propose an integrated model for the joint dynamics of FX exchange rates and asset prices. We show that the proposed construction is consistent in terms of symmetries with respect to inversion and triangulation, and provides an insight into the quanto adjustment showing that this is affected by higher order cumulants of the pure jump part of the systematic risk factor. Using the Esscher transform, we relate Quanto options to vanilla call and put options, which allows for a fast calibration method to the vanilla and the Quanto market. As Quanto products offer significant exposure to the correlation between exchange rates and asset prices, they allow access to a market implied measure of this correlation. By means of a joint calibration exercise to the CME USD denominated Quanto futures on the Nikkei 225 index and both the Nikkei 225 and USDJPY market implied volatilities, we illustrate this approach for the case in which the driving process is assumed to be a Variance Gamma process.

Countries
United Kingdom, Belgium
Keywords

Quanto products, Incomplete Markets, Trading volume, Futures Pricing, triangular relation, HG, FX Risk, varaiance gamma proces, Computational Techniques, G12, quanto products, D52, option pricing, FX risk, Variance Gamma process, Contingent Pricing, multivariate Lévy Processes, Bond Interest Rates, G13, Asset Pricing, Asset Pricing; Trading volume; Bond Interest Rates, C63, implied correlation, multivariate Lévy processes, Contingent Pricing; Futures Pricing; option pricing, Economie

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
Green