Geometric Infinitely Divisible Autoregressive Models

2023/09/06 by Monika S. Dhull, Arun Kumar, Dhull, Monika Singh +1
Economics, Econometrics and Finance · Mathematics · #FOS: Mathematics #Financial Risk and Volatility Modeling #Statistical Distribution Estimation and Applications #Statistics Theory (math.ST) #Stochastic processes and financial applications

paper · pdf · doi:10.48550/arxiv.2309.02661

openalex publication_date 2023/09/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

In this article, we discuss some geometric infinitely divisible (gid) random variables using the Laplace exponents which are Bernstein functions and study their properties. The distributional properties and limiting behavior of the probability densities of these gid random variables at 0+ are studied. The autoregressive (AR) models with gid marginals are introduced. Further, the first order AR process is generalised to kth order AR process. We also provide the parameter estimation method based on conditional least square and method of moments for the introduced AR(1) processes.

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