Computational Statistics & Data Analysis 51 (2007) 6343 – 6354
www.elsevier.com/locate/csda
Lévy flight approximations for scaled transformations of
random walks
Chang C.Y. Dorea
a , ∗
, Cira E. Guevara Otiniano
a
, Raul Matsushita
b
, Pushpa N. Rathie
b
a
Depto. de Matemática, Universidade de Brasilia, 70910-900 Brasilia-DF, Brazil
b
Depto. de Estatística, Universidade de Brasilia, 70910-900 Brasilia-DF, Brazil
Received 26 January 2006; received in revised form 19 October 2006; accepted 24 January 2007
Available online 4 February 2007
Abstract
Complex systems under anomalous diffusive regime can be modelled by approximating sequences of random walks, S
n
= X
1
+
X
2
+···+ X
n
, where the i.i.d. random variables X
j
’s have fat-tailed distribution. Such random walks are referred by physicists
as Lévy flights or motions and have been used to model financial data. For better adjustment to real-world data several modified
Lévy flights have been proposed: truncated, gradually truncated or exponentially damped Lévy flights. On the other hand, scaled
transformations of random walks possess a Lévy stable limiting distribution. In this work, under the assumption that the analyzed
data belongs to the domain of attraction of a symmetric Lévy stable distribution L
,
, we present consistent estimates for the stability
index and for the scaling parameter . Variations of the model that allow distinct left and right tail behavior will be explored.
Illustrations for returns of exchange rates of several countries are also included.
© 2007 Elsevier B.V.All rights reserved.
Keywords: Lévy flights; Stability index; Hill’s estimate; Foreign exchange rates
1. Introduction
Consider the random walk
S(n) = X
1
+ X
2
+···+ X
n
,
where {X
k
}
k 1
is a sequence of independent and identically distributed (i.i.d.) random variables with zero-mean but
not necessarily finite variance. The asymptotic behavior of the normalized partial sums may be non-Gaussian and
1
n
E{S(n)}→∞, which indicates an anomalous diffusive regime. Such random walks are commonly referred to by
physicists as Lévy flights or Lévy motions. On the other hand, a stable distribution can be considered as a limiting (in
law) probability distribution of the normalized sums of i.i.d. random variables. Moreover, if X
1
,X
2
,... are independent
copies of X
d
= L
,
(
d
=: equality in law; L
,
: symmetric Lévy stable distribution with stability index and scaling
Research partially supported by CNPq, FAPDF/PRONEX, CAPES/PROCAD and FINATEC/UnB.
∗
Corresponding author. Tel.: +55 6132733356; fax: +55 6132732737.
E-mail address: cdorea@mat.unb.br (C.C.Y. Dorea).
0167-9473/$ - see front matter © 2007 Elsevier B.V. All rights reserved.
doi:10.1016/j.csda.2007.01.019