Studies of the limit order book around large price changes

We study the dynamics of the limit order book of liquid stocks after experiencing large intra-day price changes. In the data we find large variations in several microscopical measures, e.g., the volatility the bid-ask spread, the bid-ask imbalance, the number of queuing limit orders, the activ...

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Main Authors: Toth, B, Kertesz, J, Farmer, J
Format: Book
Published: Springer-Verlag 2009
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author Toth, B
Kertesz, J
Farmer, J
author_facet Toth, B
Kertesz, J
Farmer, J
author_sort Toth, B
collection OXFORD
description We study the dynamics of the limit order book of liquid stocks after experiencing large intra-day price changes. In the data we find large variations in several microscopical measures, e.g., the volatility the bid-ask spread, the bid-ask imbalance, the number of queuing limit orders, the activity (number and volume) of limit orders placed and canceled, etc. The relaxation of the quantities is generally very slow that can be described by a power law of exponent $\approx0.4$. We introduce a numerical model in order to understand the empirical results better. We find that with a zero intelligence deposition model of the order flow the empirical results can be reproduced qualitatively. This suggests that the slow relaxations might not be results of agents' strategic behaviour. Studying the difference between the exponents found empirically and numerically helps us to better identify the role of strategic behaviour in the phenomena.
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spelling oxford-uuid:4f5cd6c8-333c-48f2-818a-0e59f4f032272022-03-26T16:06:40ZStudies of the limit order book around large price changesBookhttp://purl.org/coar/resource_type/c_1843uuid:4f5cd6c8-333c-48f2-818a-0e59f4f03227Symplectic Elements at OxfordSpringer-Verlag2009Toth, BKertesz, JFarmer, JWe study the dynamics of the limit order book of liquid stocks after experiencing large intra-day price changes. In the data we find large variations in several microscopical measures, e.g., the volatility the bid-ask spread, the bid-ask imbalance, the number of queuing limit orders, the activity (number and volume) of limit orders placed and canceled, etc. The relaxation of the quantities is generally very slow that can be described by a power law of exponent $\approx0.4$. We introduce a numerical model in order to understand the empirical results better. We find that with a zero intelligence deposition model of the order flow the empirical results can be reproduced qualitatively. This suggests that the slow relaxations might not be results of agents' strategic behaviour. Studying the difference between the exponents found empirically and numerically helps us to better identify the role of strategic behaviour in the phenomena.
spellingShingle Toth, B
Kertesz, J
Farmer, J
Studies of the limit order book around large price changes
title Studies of the limit order book around large price changes
title_full Studies of the limit order book around large price changes
title_fullStr Studies of the limit order book around large price changes
title_full_unstemmed Studies of the limit order book around large price changes
title_short Studies of the limit order book around large price changes
title_sort studies of the limit order book around large price changes
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