This article reviews the exciting and rapidly expanding literature on realized volatility. After presenting a general univariate framework for estimating realized volatilities, a simple …
D Vidal-Tomás - International Review of Financial Analysis, 2023 - Elsevier
This paper provides (i) a review of the existing literature on the metaverse and (ii) an empirical assessment of the current state of the Web3 meta-economy, with the focus on …
This new edition updates Durbin & Koopman's important text on the state space approach to time series analysis. The distinguishing feature of state space time series models is that …
F Wen, X Gong, S Cai - Energy Economics, 2016 - Elsevier
We introduce sixteen HAR-type volatility models with structural breaks and estimate their parameters by applying 5-min high-frequency transaction data for WTI crude oil futures. We …
A growing literature documents important gains in asset return volatility forecasting via use of realized variation measures constructed from high-frequency returns. We progress by …
Y Wang, F Ma, Y Wei, C Wu - Journal of Banking & Finance, 2016 - Elsevier
In this study, we forecast the realized volatility of the S&P 500 index using the heterogeneous autoregressive model for realized volatility (HAR-RV) and its various …
PR Hansen, A Lunde - Journal of Business & Economic Statistics, 2006 - Taylor & Francis
We study market microstructure noise in high-frequency data and analyze its implications for the realized variance (RV) under a general specification for the noise. We show that kernel …
Y Wei, Y Wang, D Huang - Energy Economics, 2010 - Elsevier
This paper extends the work of Kang et al.(2009). We use a greater number of linear and nonlinear generalized autoregressive conditional heteroskedasticity (GARCH) class models …
Given the growing need for managing financial risk, risk prediction plays an increasing role in banking and finance. In this study we compare the out-of-sample performance of existing …