2010
DOI: 10.1016/j.jbankfin.2010.05.007
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Limit-order submission strategies under asymmetric information

Abstract: Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in… Show more

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Cited by 66 publications
(78 citation statements)
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References 71 publications
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“…As expected, the elasticity of these market variables and limit order size for all (aggregate) traders are in the range of corresponding elasticity of these four types of traders. Our results support the finding by Menkhoff et al (2010), which demonstrates that the order aggressiveness of informed traders is more response to market conditions than uninformed traders in ordered logit models.…”
supporting
confidence: 90%
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“…As expected, the elasticity of these market variables and limit order size for all (aggregate) traders are in the range of corresponding elasticity of these four types of traders. Our results support the finding by Menkhoff et al (2010), which demonstrates that the order aggressiveness of informed traders is more response to market conditions than uninformed traders in ordered logit models.…”
supporting
confidence: 90%
“…In addition, Menkhoff et al (2010) also find that informed traders are more sensitive to change in the spreads, volatility and depths than uninformed traders in a pure limit market. There are two major concerns in their quality of data used in empirical tests: (1) the data lack trader identification code on trader type, causing the authors to assign a trader as either informed or uninformed based on the inference from the trade size and location information; and (2) the data cover only a seven intraday data period, which may be too short for reliable empirical tests.…”
Section: The Influence Of Market Characteristics On Traders' Decisionmentioning
confidence: 74%
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“…In terms of submitted shares, I do not observe signi…cant di¤erences between large liquidity and informed traders. In other words, informed traders are as active as large liquidity traders in liquidity provision (Menkho¤, Osler and Schmeling, 2010). This evidence suggests …erce competition, that is, a race to trade (Boulatov and George, 2013) between two trader types for liquidity provision.…”
Section: Trading Strategiesmentioning
confidence: 96%