Modeling and forecasting realized volatility with the fractional Ornstein–Uhlenbeck process
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 …
Ornstein–Uhlenbeck (fO–U) process with a general Hurst parameter, H. A two-stage method …
Volatility estimation and jump detection for drift–diffusion processes
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 …
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 …
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
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 …
likelihood estimator of structural break point in a continuous time model. The exact …
Double asymptotics for explosive continuous time models
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 …
processes and the corresponding exact discrete time models. The double asymptotic theory …
Unit root test with high-frequency data
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 …
returns and thus have important implications for portfolio construction and risk management …
In-fill asymptotic theory for structural break point in autoregressions
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 …
break point in the Ornstein–Uhlenbeck process when a continuous record is available. The …
Testing for an Explosive Bubble using High-Frequency Volatility
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 …
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 …
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 …
that have recently emerged in the literature for the Ornstein–Uhlenbeck process: the naïve …