Maximum likelihood type estimation for discretely observed CIR model with small $\hat{I}\pm$-stable noises

Abstract

A maximum likelihood type estimation of the drift and volatility coefficient parameters in the CIR type model driven by $\hat{I}\pm$-stable noises is studied when the dispersion parameter $\epsilon \to 0$ and the discrete observations frequency $n\to \infty$ simultaneously.