Modeling and forecasting realized volatility with the fractional Ornstein–Uhlenbeck process

X Wang, W Xiao, J Yu - Journal of Econometrics, 2023 - Elsevier
This paper proposes to model and forecast realized volatility (RV) using the fractional
Ornstein–Uhlenbeck (fO–U) process with a general Hurst parameter, H. A two-stage method …

Volatility estimation and jump detection for drift–diffusion processes

S Laurent, S Shi - Journal of Econometrics, 2020 - Elsevier
The logarithmic prices of financial assets are conventionally assumed to follow a drift–
diffusion process. While the drift term is typically ignored in the infill asymptotic theory and …

Least squares estimation for the drift parameters in the sub-fractional Vasicek processes

W Xiao, X Zhang, Y Zuo - Journal of Statistical Planning and Inference, 2018 - Elsevier
While the statistical inference of Vasicek processes driven by both Brownian motions and
fractional Brownian motions has a long history, the statistical analysis for the Vasicek model …

New distribution theory for the estimation of structural break point in mean

L Jiang, X Wang, J Yu - Journal of Econometrics, 2018 - Elsevier
Based on the Girsanov theorem, this paper obtains the exact distribution of the maximum
likelihood estimator of structural break point in a continuous time model. The exact …

Double asymptotics for explosive continuous time models

X Wang, J Yu - Journal of Econometrics, 2016 - Elsevier
This paper establishes a double asymptotic theory for explosive continuous time Lévy-driven
processes and the corresponding exact discrete time models. The double asymptotic theory …

Unit root test with high-frequency data

S Laurent, S Shi - Econometric Theory, 2022 - cambridge.org
Deviations of asset prices from the random walk dynamic imply the predictability of asset
returns and thus have important implications for portfolio construction and risk management …

In-fill asymptotic theory for structural break point in autoregressions

L Jiang, X Wang, J Yu - Econometric Reviews, 2020 - Taylor & Francis
This article obtains the exact distribution of the maximum likelihood estimator of structural
break point in the Ornstein–Uhlenbeck process when a continuous record is available. The …

Testing for an Explosive Bubble using High-Frequency Volatility

HP Boswijk, J Yu, Y Zu - arXiv preprint arXiv:2405.02087, 2024 - arxiv.org
Based on a continuous-time stochastic volatility model with a linear drift, we develop a test
for explosive behavior in financial asset prices at a low frequency when prices are sampled …

In-fill asymptotic theory for structural break point in autoregression: A unified theory

L Jiang, X Wang, J Yu - 2017 - ink.library.smu.edu.sg
This paper obtains the exact distribution of the maximum likelihood estimatorof structural
break point in the OrnsteinñUhlenbeck process when a continuousrecord is available. The …

Out‐of‐sample performance of bias‐corrected estimators for diffusion processes

ZY Guo - Journal of Forecasting, 2021 - Wiley Online Library
We investigated the out‐of‐sample forecasting performance of six bias‐corrected estimators
that have recently emerged in the literature for the Ornstein–Uhlenbeck process: the naïve …