Modelling Trades-Through in a Limit Order Book Using Hawkes Processes
Author
Abstract
Suggested Citation
DOI: 10.5018/economics-ejournal.ja.2012-22
Note: View the original document on HAL open archive server: https://hal.archives-ouvertes.fr/hal-00745554
Download full text from publisher
References listed on IDEAS
- Bowsher, Clive G., 2007.
"Modelling security market events in continuous time: Intensity based, multivariate point process models,"
Journal of Econometrics,
Elsevier, vol. 141(2), pages 876-912, December.
- Clive Bowsher, 2002. "Modelling Security Market Events in Continuous Time: Intensity based, Multivariate Point Process Models," Economics Papers 2002-W22, Economics Group, Nuffield College, University of Oxford.
- Clive G. Bowsher, 2005. "Modelling Security Market Events in Continuous Time: Intensity Based, Multivariate Point Process Models," Economics Papers 2005-W26, Economics Group, Nuffield College, University of Oxford.
- Clive G. Bowsher, 2003. "Modelling Security Market Events in Continuous Time: Intensity Based, Multivariate Point Process Models," Economics Papers 2003-W03, Economics Group, Nuffield College, University of Oxford.
- E. Bacry & S. Delattre & M. Hoffmann & J. F. Muzy, 2013.
"Modelling microstructure noise with mutually exciting point processes,"
Quantitative Finance,
Taylor & Francis Journals, vol. 13(1), pages 65-77, January.
- E. Bacry & S. Delattre & M. Hoffmann & J. F. Muzy, 2011. "Modeling microstructure noise with mutually exciting point processes," Papers 1101.3422, arXiv.org.
- Large, Jeremy, 2007. "Measuring the resiliency of an electronic limit order book," Journal of Financial Markets, Elsevier, vol. 10(1), pages 1-25, February.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Dieter Hendricks & Tim Gebbie & Diane Wilcox, 2015. "Detecting intraday financial market states using temporal clustering," Papers 1508.04900, arXiv.org, revised Feb 2017.
- repec:eee:spapps:v:127:y:2017:i:8:p:2447-2481 is not listed on IDEAS
- Haghighi, Afshin & Fallahpour, Saeid & Eyvazlu, Reza, 2016. "Modelling order arrivals at price limits using Hawkes processes," Finance Research Letters, Elsevier, vol. 19(C), pages 267-272.
- Giacomo Bormetti & Lucio Maria Calcagnile & Michele Treccani & Fulvio Corsi & Stefano Marmi & Fabrizio Lillo, 2013. "Modelling systemic price cojumps with Hawkes factor models," Papers 1301.6141, arXiv.org, revised Mar 2013.
- Roueff, François & von Sachs, Rainer & Sansonnet, Laure, 2016. "Locally stationary Hawkes processes," Stochastic Processes and their Applications, Elsevier, vol. 126(6), pages 1710-1743.
More about this item
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ALL-2012-11-11 (All new papers)
- NEP-MST-2012-11-11 (Market Microstructure)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hal:journl:hal-00745554. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (CCSD). General contact details of provider: https://hal.archives-ouvertes.fr/ .
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.