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We analyse the dynamics of liquidity in an electronic limit order book using the Exchange Liquidity Measure (XLM), a measure of the cost of a roundtrip trade of given size V. We use intraday event study methodology to analyse how liquidity shocks ‐ large transactions and Bloomberg ticker news ‐ affect the XLM. We find that resiliency after large transactions is high, i.e., liquidity quickly reverts to ‘normal’ levels. Large trades are ‘timed’; they take place at times when liquidity is unusually high. Bloomberg ticker news items do not have a discernible effect on liquidity.
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Gomber et al. (2013) studied this question.
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