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Fractional Normal Inverse Gaussian Process

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Field Value
 
Title Fractional Normal Inverse Gaussian Process
 
Creator KUMAR, A
VELLAISAMY, P
 
Subject Fractional Brownian motion
Fractional normal inverse Gaussian process
Generalized gamma convolutions
Infinite divisibility
Long-range dependence
Subordination
INFINITE-DIVISIBILITY
SELF-DECOMPOSABILITY
VARIANCE
MODEL
DISTRIBUTIONS
DEPENDENCE
NOISES
MOTION
 
Description Normal inverse Gaussian (NIG) process was introduced by Barndorff-Nielsen (Scand J Statist 24:1-13, 1997) by subordinating Brownian motion with drift to an inverse Gaussian process. Increments of NIG process are independent and are stationary. In this paper, we introduce dependence between the increments of NIG process, by subordinating fractional Brownian motion to an inverse Gaussian process and call it fractional normal inverse Gaussian (FNIG) process. The basic properties of this process are discussed. Its marginal distributions are scale mixtures of normal laws, infinitely divisible for the Hurst parameter 1/2 a parts per thousand currency signaEuro parts per thousand H < 1 and are heavy tailed. First order increments of the process are stationary and possess long-range dependence (LRD) property. It is shown that they have persistence of signs LRD property also. A generalization to an n-FNIG process is also discussed, which allows Hurst parameter H in the interval (n -aEuro parts per thousand 1, n). Possible applications to mathematical finance and hydraulics are also pointed out.
 
Publisher SPRINGER
 
Date 2014-10-16T05:50:37Z
2014-10-16T05:50:37Z
2012
 
Type Article
 
Identifier METHODOLOGY AND COMPUTING IN APPLIED PROBABILITY, 14(2)263-283
http://dx.doi.org/10.1007/s11009-010-9201-z
http://dspace.library.iitb.ac.in/jspui/handle/100/15381
 
Language en