Maximum likelihood estimation for sub-fractional Vasicek model
B.L.S. Prakasa Rao

TL;DR
This paper studies the statistical properties of maximum likelihood estimators for the drift parameter in a sub-fractional Vasicek model driven by sub-fractional Brownian motion, focusing on their asymptotic behavior.
Contribution
It provides new insights into the asymptotic properties of estimators within the sub-fractional Vasicek model framework, which has not been extensively analyzed before.
Findings
Asymptotic normality of estimators established
Conditions for consistency derived
Impact of sub-fractional Brownian motion on estimation accuracy analyzed
Abstract
We investigate the asymptotic properties of maximum likelihood estimators of the drift parameter for fractional vasicek model driven by a sub-fractional Brownian motion.
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Taxonomy
TopicsStochastic processes and financial applications · Financial Risk and Volatility Modeling · Statistical Distribution Estimation and Applications
