Local asymptotic properties for Cox-Ingersoll-Ross process with discrete observations
Mohamed Ben Alaya, Ahmed Kebaier, Ngoc Khue Tran

TL;DR
This paper investigates the local asymptotic properties of the Cox-Ingersoll-Ross process with discrete high-frequency data, establishing different asymptotic behaviors depending on the process's criticality, using advanced Malliavin calculus techniques.
Contribution
It provides the first comprehensive analysis of local asymptotic properties of the CIR process under various critical regimes with high-frequency discrete observations.
Findings
Proves local asymptotic normality in the subcritical case.
Establishes local asymptotic quadraticity in the critical case.
Demonstrates local asymptotic mixed normality in the supercritical case.
Abstract
In this paper, we consider a one-dimensional Cox-Ingersoll-Ross (CIR) process whose drift coefficient depends on unknown parameters. Considering the process discretely observed at high frequency, we prove the local asymptotic normality property in the subcritical case, the local asymptotic quadraticity in the critical case, and the local asymptotic mixed normality property in the supercritical case. To obtain these results, we use the Malliavin calculus techniques developed recently for CIR process by Al\`os et {\it al.} \cite{AE08} and Altmayer et {\it al.} \cite{AN14} together with the -norm estimation for positive and negative moments of the CIR process obtained by Bossy et {\it al.} \cite{BD07} and Ben Alaya et {\it al.} \cite{BK12,BK13}. In this study, we require the same conditions of high frequency and infinite horizon as…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Stochastic processes and financial applications · Advanced Thermodynamics and Statistical Mechanics
