MODELING AND FORECASTING REALIZED VOLATILITY
By Torben G. Andersen, Tim Bollerslev, Francis X. Diebold, Paul Labys. 2003
3,790 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Finance
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Tim Bollerslev
- Andrew J. Patton
- N. Shephard
- P. R. Hansen
- Asger Lunde
- Kevin Sheppard
- V. Todorov
- Torben G. Andersen
In Finance
- Tim Bollerslev
- Andrew J. Patton
- N. Shephard
- V. Todorov
- Asger Lunde
- P. R. Hansen
- Kevin Sheppard
- Torben G. Andersen
Citations in the corpus
- Can Internet search queries help to predict stock market volatility (2016, positive): “We therefore resort to the log of the realized volatility as, amongst others, suggested by Andersen, Bollerslev, Diebold and Ebens (2001) and Andersen et al. (2003).”
- 25 years of time series forecasting (2006, background): “Important contributions to date have been Engle and Russell’s (1998) “Autoregressive Conditional Duration” model and Andersen et al. (2003).”
- Option Valuation with Long-run and Short-run Volatility Components (2008, neutral): “In specification (3), the conditional volatility ht+1 can most usefully be thought of as consisting of two components.”
- Jump detection with wavelets for high-frequency financial time series (2014, methodology): “Thus, understanding what drives jumps in underlying securities, how to characterize jumps both theoretically and empirically, and having efficient tests available for jumps that are sufficiently robust to withstand mis-specification and small sample bias is imperative.”
- Volatility Transmission in Emerging European Foreign Exchange Markets (2011, methodology): “We make no parametric assumptions regarding the respective laws of motion (Andersen et al., 2003).”
- Asset pricing tests with long run risks in consumption growth (2011, neutral): “The Euler equation for the observable return on the aggregate dividend claim, rm;t+1, is, Et exp log ct+1 + ( 1)rc;t+1 + rm;t+1 = 1 (41) Substituting the expression for rm;t+1 from equation (9) into the above Euler condition, we have Et[exp( log c xt t"c;t+1 + ( 1) 0 + ( 1) 1A0 +( 1) 1A1 xxt + ( 1) ”
- Microstructure Noise, Realized Variance, and Optimal Sampling (2008, background): “…will be in characterizing the asymptotic and …nite sample properties of the classical realized variance estimator b V = P M j=1 e r 2 j : As in Andersen et al. (2003) and BN-S (2002), among others, b V will be used to estimate the integrated variance of the logarithmic price process over…”