Volatility estimation on the basis of price intensities
By F. Gerhard, Nikolaus Hautsch. 2001
59 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Finance
View Paper: https://www.semanticscholar.org/paper/822a52b922ef21c4c53369adc39fa71a5af0c7db
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
- Maria Pacurar
- Nikolaus Hautsch
- Luc Bauwens
- André Lucas
- S. J. Koopman
- Jean-François Richard
- Drew D. Creal
- Wei Zhang
In Finance
- Maria Pacurar
- Nikolaus Hautsch
- Luc Bauwens
- André Lucas
- S. J. Koopman
- Drew D. Creal
- Jean-François Richard
- Wei Zhang
Citations in the corpus
- Stochastic Conditional Intensity Processes (2006, background): “The use of price durations opens up alternative ways of estimating volatility and price change risks [Engle and Russell (1997), Gerhard and Hautsch (2002)].”
- Modelling daily value-at-risk using realized volatility and arch type models (2001, unknown): “As in Giot and Laurent (2001b) or Giot (2003), we use a standardized version of the skewed Student distribution introduced by Fernández and Steel (1998).”
- Autoregressive Conditional Duration Models in Finance: A Survey of the Theoretical and Empirical Literature (2008, methodology): “Volume durations were introduced by Gouriéroux et al. (1999) as reasonable measures of liquidity that account simultaneously for the time and volume dimensions of the trading process.”