Occupation density estimation for noisy high-frequency data

This paper studies the nonparametric estimation of occupation densities for semimartingale processes observed with noise. As leading examples we consider the stochastic volatility of a latent efficient price process, the volatility of the latent noise that separates the efficient price from the actu...

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Bibliographic Details
Main Authors: ZHANG, Congshan, LI, Jia, BOLLERSLEV, Tim
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2022
Subjects:
Online Access:https://ink.library.smu.edu.sg/soe_research/2578
https://ink.library.smu.edu.sg/context/soe_research/article/3577/viewcontent/occ_sv.pdf
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Institution: Singapore Management University
Language: English