The Generalized Lognormal Distribution and the Stieltjes Moment Problem

Autor: Christian Kleiber
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Statistics and Probability
FOS: Computer and information sciences
Stieltjes class
Stieltjes moment problem
General Mathematics
ARCH-Modell
generalized lognormal distribution
jel:C46
jel:C02
Shape parameter
Generalized error distribution
size distribution
FOS: Mathematics
ddc:330
Applied mathematics
volatility model
Generalized error distribution
generalized lognormal distribution
lognormal distribution
moment problem
size distribution
Stieltjes class
volatility model

Primary 60E05
Secondary 44A60

Generalized normal distribution
Mathematics
Immobilienpreis
Other Statistics (stat.OT)
Probability (math.PR)
lognormal distribution
Statistische Verteilung
Riemann–Stieltjes integral
Börsenkurs
Volatilität
Moment problem
Statistics - Other Statistics
Bounded function
Log-normal distribution
C46
C02
moment problem
Statistics
Probability and Uncertainty

Random variable
Theorie
Mathematics - Probability
Popis: This paper studies a Stieltjes-type moment problem defined by the generalized lognormal distribution, a heavy-tailed distribution with applications in economics, finance and related fields. It arises as the distribution of the exponential of a random variable following a generalized error distribution, and hence figures prominently in the EGARCH model of asset price volatility. Compared to the classical lognormal distribution it has an additional shape parameter. It emerges that moment (in)determinacy depends on the value of this parameter: for some values, the distribution does not have finite moments of all orders, hence the moment problem is not of interest in these cases. For other values, the distribution has moments of all orders, yet it is moment-indeterminate. Finally, a limiting case is supported on a bounded interval, and hence determined by its moments. For those generalized lognormal distributions that are moment-indeterminate Stieltjes classes of moment-equivalent distributions are presented.
12 pages, 1 figure
Databáze: OpenAIRE