gmm (version 1.8)

charStable: The characteristic function of a stable distribution

Description

It computes the theoretical characteristic function of a stable distribution for two different parametrizations. It is used in the vignette to illustrate the estimation of the parameters using GMM.

Usage

charStable(theta, tau, pm = 0)

Value

It returns a vector of complex numbers with the dimension equals to length(tau).

Arguments

theta

Vector of parameters of the stable distribution. See details.

tau

A vector of numbers at which the function is evaluated.

pm

The type of parametization. It takes the values 0 or 1.

Details

The function returns the vector $\mathrm{\Psi }(\theta ,\tau ,pm)$ defined as $E(e^{ix\tau }$, where $\tau$ is a vector of real numbers, $i$ is the imaginary number, $x$ is a stable random variable with parameters $\theta$ = $(\alpha ,\beta ,\gamma ,\delta )$ and pm is the type of parametrization. The vector of parameters are the characteristic exponent, the skewness, the scale and the location parameters, respectively. The restrictions on the parameters are: $\alpha \in (0,2]$, $\beta \in [-1,1]$ and $\gamma >0$. For mode details see Nolan(2009).

References

Nolan J. P. (2020), Univariate Stable Distributions - Models for Heavy Tailed Data. Springer Series in Operations Research and Financial Engineering. URL https://edspace.american.edu/jpnolan/stable/.

Examples

# GMM is like GLS for linear models without endogeneity problems

pm <- 0
theta <- c(1.5,.5,1,0) 
tau <- seq(-3, 3, length.out = 20)
char_fct <- charStable(theta, tau, pm)