An algorithm for evaluating stable densities in Zolotarev's (M) parameterization
Mathematical and Computer Modelling: An International Journal
Portfolio optimization when risk factors are conditionally varying and heavy tailed
Computational Economics
Calibrated FFT-based density approximations for α-stable distributions
Computational Statistics & Data Analysis
GARCH processes with non-parametric innovations for market risk estimation
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Generalized CMR technology as a natural source of objective marketing information
Automation and Remote Control
Maximum likelihood estimation of stable Paretian models
Mathematical and Computer Modelling: An International Journal
A survey on computing Lévy stable distributions and a new MATLAB toolbox
Signal Processing
Hi-index | 0.98 |
The practical implementation of a stable Paretian model is a nontrivial task, because-with the exception of a few special cases-its probability density function cannot be expressed analytically. Here, we present an algorithm for calculating the probability density function of the asymmetric stable Paretian distribution. Due to the use of the Fast Fourier Transform, the algorithm is computationally efficient, easily implemented, and of similar accuracy as existing algorithms.