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Implementation of the Variance Gamma Model

Authors: Markus Walser;

Implementation of the Variance Gamma Model

Abstract

The variance gamma model is a three parameter generalization of Brownian motion as a model for the dynamics of the logarithm of the stock price. Although it is possible to explicitly calculate call and put prices because of some misfortune correct formulas are not available in literature. Here I will present the correct expressions. For completeness I also will provide a recipe for Monte Carlo simulation. The article is meant as an instruction for financial engineers to implement the model correctly.

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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!
0
Average
Average
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