How Often to Sample a Continuous-Time Process in the Presence of Market Microstructure Noise
By Yacine Aït-Sahalia, Per Aslak Mykland, Lan Zhang. 2005
918 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Finance
View Paper: https://www.semanticscholar.org/paper/47403f6d01ba942ce5ef830a3f8faa3f5c801d65
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
- Asger Lunde
- N. Shephard
- P. R. Hansen
- V. Todorov
- Kevin Sheppard
- Mark Podolskij
In Finance
- Tim Bollerslev
- Andrew J. Patton
- N. Shephard
- Asger Lunde
- V. Todorov
- P. R. Hansen
- Mark Podolskij
- Kevin Sheppard
Citations in the corpus
- Do High-Frequency Measures of Volatility Improve Forecasts of Return Distributions? (2011, background): “Table 1 5For alternative approaches to dealing with market microstructure dynamics see Aı̈t-Sahalia, Mykland, and Zhang (2005), Bandi and Russell (2006), Barndorff-Nielsen, Hansen, Lunde, and Shephard (2008), Oomen (2005), Zhang (2006) and Zhou (1996). displays summary statistics for daily returns…”
- High-Frequency Covariance Estimates With Noisy and Asynchronous Financial Data (2010, positive): “Aït-Sahalia, Mykland, and Zhang (2005) showed that this estimation approach is robust to departure from the Gaussian noise assumption.”
- Measuring volatility with the realized range (2006, methodology): “We also refrain from determining the optimal sampling frequency as done for realized variance by Bandi and Russell (2004) and Aı̈t-Sahalia et al. (2005), simply reporting the relative performance of realized variance and realized range for different sampling frequencies.”
- Scaling limits for Hawkes processes and application to financial statistics (2012, methodology): “…7641 and École Polytechnique, 91128 Palaiseau, France †Université Paris Diderot and LPMA CNRS-UMR 7599, Bôıte courrier 7012 75251 Paris, France ‡ENSAE-CREST and LAMA CNRS-UMR 8050, 3, avenue Pierre Larousse, 92245 Malakoff, France §SPE CNRS-UMR 6134 and Université de Corte, 20250 Corte, France”
- A Discrete-Time Model for Daily S & P500 Returns and Realized Variations: Jumps and Leverage Effects (2009, neutral): “, Aı̈t-Sahalia et al. (2005a,b), Areal and Taylor (2002), Bandi and Russell (2005), Corsi et al.”
- Safe Haven Currencies (2010, neutral): “We compared the Ait-Sahalia, Mykland, and Zhang (2005) method and the Andersen and Bollerslev (1998) method to compute realised volatility over a subsample period of year 2007.”
- Options on realized variance by transform methods: a non-affine stochastic volatility model (2009, background): “( 2005 ) and references therein as well as the recent study by Gatheral and Oomen ( 2010 ).”
- Semi-Parametric Comparison of Stochastic Volatility Models using Realized Measures (2006, background): “…subsampled realized volatility proposed by Zhang et al. (2005) is a consistent estimator of integrated volatility when prices are contaminated by microstructure noise (see also related contributions by Zhang, 2004; Aït-Sahalia et al., 2005b; Barndorff-Nielsen, Hansen, Lunde and Shephard, 2005b).”