Update estimation of diffusion parameter observed at high frequency
Yusuke Shimizu

TL;DR
This paper introduces an updated estimation method for diffusion parameters using high-frequency data, ensuring asymptotic properties similar to quasi-MLE, with validation through simulation.
Contribution
It presents a novel update estimation technique for diffusion parameters that maintains asymptotic normality and efficiency in the presence of nuisance drift.
Findings
Estimator is asymptotically equivalent to quasi-MLE
Estimator achieves asymptotic normality
Simulation confirms theoretical properties
Abstract
We propose an update estimation method for a diffusion parameter from high-frequency dependent data under a nuisance drift element. We ensure the asymptotic equivalence of the estimator to the corresponding quasi-MLE, which has the asymptotic normality and the asymptotic efficiency. We give a simulation example to illustrate the theory.
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Taxonomy
TopicsStatistical Methods and Inference · Target Tracking and Data Fusion in Sensor Networks · Stochastic processes and financial applications
