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Trading and Liquidity with Limited Cognition

Authors: Hombert, Johan; Biais, Bruno; Weill, Pierre-Olivier;

Trading and Liquidity with Limited Cognition

Abstract

We study the reaction of financial markets to aggregate liquidity shocks when traders face cognition limits. While each financial institution recovers from the shock at a random time, the trader representing the institution observes this recovery with a delay, reecting the time it takes to collect and process information about positions, counterparties and risk exposure. Cognition limits lengthen the recovery process. They also imply that traders who find their institution has not yet recovered from the shock place market sell orders, and then progressively buy back at relatively low prices, while simultaneously placing limit orders to sell later when the price will have recovered. This generates round trip trades, which raise trading volume. We compare the case where algorithms enable traders to implement this strategy to that where traders can only place orders when they have completed their information processing task.

Country
France
Keywords

[SHS.GESTION.FIN] Humanities and Social Sciences/Business administration/domain_shs.gestion.fin, liquidity, Trading, limited cognition

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Average
Top 10%
Top 10%
bronze