Arbeitspapier
Commonalities in the order book
This paper uses data from one of the most important European stock markets and shows that, in line with predictions from theoretical market microstructure, a small number of latent factors captures most of the variation in stock specific order books. We show that these order book commonalities are much stronger than liquidity commonality across stocks. The result that bid and ask side as well as the visible and hidden parts of the order book exhibit quite specific dynamics is interpreted as evidence that open order book markets attract a heterogeneous trader population in terms of asset valuations and impatience. Quantifying the informational content of the extracted factors with respect to the evolution of the asset price we find that the factor information shares are highest (about ten percent) for less frequently traded stocks. We also show that the informational content of hidden orders is limited.
- Language
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Englisch
- Bibliographic citation
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Series: CFR working paper ; No. 09-05
- Classification
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Wirtschaft
General Financial Markets: General (includes Measurement and Data)
Multiple or Simultaneous Equation Models: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
- Subject
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limit order book
commonalities
liquidity
market microstructure
Wertpapierhandel
Mikrostrukturanalyse
Börsen-Informationssystem
Aktienindex
Deutschland
- Event
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Geistige Schöpfung
- (who)
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Beltran-Lopez, Héléna
Giot, Pierre
Grammig, Joachim G.
- Event
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Veröffentlichung
- (who)
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University of Cologne, Centre for Financial Research (CFR)
- (where)
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Cologne
- (when)
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2009
- Handle
- Last update
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10.03.2025, 11:43 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Beltran-Lopez, Héléna
- Giot, Pierre
- Grammig, Joachim G.
- University of Cologne, Centre for Financial Research (CFR)
Time of origin
- 2009