Econometric Modelling of Stock Market Intraday Activity
By P. Giot, Luc Bauwens. 2001
149 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Finance
View Paper: https://www.semanticscholar.org/paper/efecd3f1c1697cad71d2e6d62c7e2b9a4e843c48
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
- Luc Bauwens
- David Veredas
- Christian T. Brownlees
- Giampiero M. Gallo
- P. Giot
- P. R. Hansen
- N. Shephard
In Finance
- Maria Pacurar
- Luc Bauwens
- David Veredas
- Christian T. Brownlees
- Giampiero M. Gallo
- P. Giot
- P. R. Hansen
- N. Shephard
Citations in the corpus
- Autoregressive Conditional Duration Models in Finance: A Survey of the Theoretical and Empirical Literature (2008, methodology): “…densities of different trade durations that have a hump at very small durations and a long right tail (see, for instance, Engle and Russell, 1998; Bauwens and Giot, 2001; Bauwens et al., 2004).25 This suggests that an exponential distribution is not appropriate for the unconditional distribution…”
- Financial econometric analysis at ultra-high frequency: Data handling concerns (2006, background): “ Bauwens and Giot (2001) also provide an accurate description of the rules and procedures of the NYSE as well as other exchanges.”
- The stochastic conditional duration model: a latent variable model for the analysis of financial durations (2004, methodology): “24 More details can be found in Bauwens and Giot (2001). 25 These variables are time invariant, meaning that they remain constant within a distribution.”
- Market risk models for intraday data (2005, background): “gif"/> are defined as the time needed to witness a given cumulative price change c p in the price of the asset (Bauwens and Giot, 2001 ; Engle and Russell, 1997 ).”