Results 11 to 20 of about 1,093,895 (300)
Multivariate Variance Gamma and Gaussian Dependence: a study with copulas [PDF]
, 2010 This paper explores the dynamic dependence properties of a Levy process, the Variance Gamma, which has non-Gaussian marginal features and non-Gaussian dependence. By computing the distance between the Gaussian copula and the actual one, we show that even a non-Gaussian process, such as the Variance Gamma, can “converge” to linear dependence over time ...
Elisa Luciano, Patrizia Semeraro
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Option Pricing under the Variance Gamma Process [PDF]
SSRN Electronic Journal, 2004 In this dissertation we price European and American vanilla and barrier options assuming that the underlying follows the variance gamma process. We solve numerically the problem implementing a finite difference algorithm and we present numerical experiments on the option pricing.
Fiorani, Filo
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Efficient simulation of gamma and variance-gamma processes [PDF]
Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693), 2004 We study algorithms for sampling discrete-time paths of a gamma process and a variance-gamma process, defined as a Brownian process with random time change obeying a gamma process. The attractive feature of the algorithms is that increments of the processes over longer time scales are assigned to the first sampling coordinates. The algorithms are based
Avramidis, Athanassios.N. +2 more
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Variance-Gamma approximation via Stein's method
Electronic Journal of Probability, 2014 Variance-Gamma distributions are widely used in financial modelling and contain as special cases the normal, Gamma and Laplace distributions. In this paper we extend Stein's method to this class of distributions. In particular, we obtain a Stein equation and smoothness estimates for its solution.
Robert E. Gaunt +2 more
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Geometric Local Variance Gamma Model [PDF]
The Journal of Derivatives, 2019 This paper describes another extension of the Local Variance Gamma model originally proposed by P. Carr in 2008, and then further elaborated on by Carr and Nadtochiy, 2017 (CN2017), and Carr and Itkin, 2018 (CI2018). As compared with the latest version of the model developed in CI2018 and called the ELVG (the Expanded Local Variance Gamma model), here ...
Carr, Peter, Itkin, Andrey
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Residue Sum Formula for Pricing Options under the Variance Gamma Model
Mathematics, 2021 We present and prove a triple sum series formula for the European call option price in a market model where the underlying asset price is driven by a Variance Gamma process.
Pedro Febrer, João Guerra
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Sand-Dust Image Enhancement Using Chromatic Variance Consistency and Gamma Correction-Based Dehazing
Sensors, 2022 In sand-dust environments, the low quality of images captured outdoors adversely affects many remote-based image processing and computer vision systems, because of severe color casts, low contrast, and poor visibility of sand-dust images.
Jong-Ju Jeon, Tae-Hee Park, Il-Kyu Eom
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SIFAT-SIFAT DAN KEJADIAN KHUSUS DISTRIBUSI GAMMA
Barekeng, 2021 The gamma distribution is one of special continuous random variable distribution with scale parameter and shape parameter where is positive real numbers.
Royke Yohanes Warella +2 more
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The Variance Gamma Distribution [PDF]
Significance, 2019 Abstract Scott Nestler and Andrew Hall provide an overview of a little-known but highly flexible distribution, which can be useful for modelling share price ...
Scott Nestler, Andrew Hall
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Optimal Variance–Gamma approximation on the second Wiener chaos [PDF]
Journal of Functional Analysis, 2022 In this paper, we consider a target random variable $Y \sim \CVG$ distributed according to a centered Variance--Gamma distribution. For a generic random element $F=I_2(f)$ in the second Wiener chaos with $\E[F^2]= \E[Y^2]$ we establish a non-asymptotic optimal bound on the distance between $F$ and $Y$ in terms of the maximum of difference of the first ...
Azmoodeh, Ehsan +2 more
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