Maximum likelihood type estimation for discretely observed CIR model with small $α$-stable noises

Abstract

A maximum likelihood type estimation of the drift and volatility coefficient parameters in the CIR type model driven by $α$-stable noises is studied when the dispersion parameter $\varepsilon\to0$ and the discrete observations frequency $n\to\infty$ simultaneously.