3,424 research outputs found
LARGE DEVIATIONS OF MEANS OF HEAVY-TAILED RANDOM VARIABLES WITH FINITE MOMENTS OF ALL ORDERS
Logarithmic asymptotics of the mean process {S-n/n} are investigated in the presence of heavy-tailed increments. As a consequence, a full large deviations principle for means is obtained when the hazard function of an increment is regularly varying with index alpha epsilon (0, 1). This class includes all stretched exponential distributions. Thus, the previous research of Gantert et al. (2014) is extended. Furthermore, the presented proofs are more transparent than the techniques used by Nagaev (1979). In addition, the novel approach is compatible with other common classes of distributions, e. g. those of lognormal type.Peer reviewe
Scaling and multiscaling in financial series: a simple model
We propose a simple stochastic volatility model which is analytically
tractable, very easy to simulate and which captures some relevant stylized
facts of financial assets, including scaling properties. In particular, the
model displays a crossover in the log-return distribution from power-law tails
(small time) to a Gaussian behavior (large time), slow decay in the volatility
autocorrelation and multiscaling of moments. Despite its few parameters, the
model is able to fit several key features of the time series of financial
indexes, such as the Dow Jones Industrial Average, with a remarkable accuracy.Comment: 32 pages, 5 figures. Substantial revision, following the referee's
suggestions. Version to appear in Adv. in Appl. Proba
On asymptotic scales of independently stopped random sums
We study randomly stopped sums via their asymptotic scales. First, finiteness
of moments is considered. To generalise this study, asymptotic scales
applicable to the class of all heavy-tailed random variables are used. The
stopping is assumed to be independent of the underlying process, which is a
random walk.
The main result enables one to identify whether the asymptotic behaviour of a
stopped sum is dominated by the increment, or the stopping variable. As a
consequence of this result, new sufficient conditions for the moment
determinacy of compounded sums are obtained.Comment: 22 pages, 2 figure
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