Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/9040
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dc.contributor.authorBrody, DC-
dc.contributor.authorDavis, MHA-
dc.contributor.authorFriedman, RL-
dc.contributor.authorHughston, LP-
dc.date.accessioned2014-09-09T12:47:13Z-
dc.date.available2014-09-09T12:47:13Z-
dc.date.issued2009-
dc.identifier.citationProceedings of the Royal Society A: Mathematical, Physical & Engineering Sciences, 465(2104), 1103 - 1122, 2009en_US
dc.identifier.issn1364-5021-
dc.identifier.urihttp://rspa.royalsocietypublishing.org/content/465/2104/1103en
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/9040-
dc.descriptionThis article is available open access through the publisher’s website at the link below. Copyright @ 2008 The Royal Society.en_US
dc.description.abstractAn asymmetric information model is introduced for the situation in which there is a small agent who is more susceptible to the flow of information in the market than the general market participant, and who tries to implement strategies based on the additional information. In this model market participants have access to a stream of noisy information concerning the future return of an asset, whereas the informed trader has access to a further information source which is obscured by an additional noise that may be correlated with the market noise. The informed trader uses the extraneous information source to seek statistical arbitrage opportunities, while at the same time accommodating the additional risk. The amount of information available to the general market participant concerning the asset return is measured by the mutual information of the asset price and the associated cash flow. The worth of the additional information source is then measured in terms of the difference of mutual information between the general market participant and the informed trader. This difference is shown to be non-negative when the signal-to-noise ratio of the information flow is known in advance. Explicit trading strategies leading to statistical arbitrage opportunities, taking advantage of the additional information, are constructed, illustrating how excess information can be translated into profit.en_US
dc.languageEnglish-
dc.language.isoenen_US
dc.publisherThe Royal Societyen_US
dc.subjectStatistical arbitrageen_US
dc.subjectAsymmetric informationen_US
dc.subjectInformation-based asset pricingen_US
dc.subjectHedge fundsen_US
dc.subjectInsider tradingen_US
dc.subjectMutual informationen_US
dc.titleInformed tradersen_US
dc.typeArticleen_US
dc.identifier.doihttp://dx.doi.org/10.1098/rspa.2008.0465-
pubs.organisational-data/Brunel-
pubs.organisational-data/Brunel/Brunel Staff by College/Department/Division-
pubs.organisational-data/Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences-
pubs.organisational-data/Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences/Dept of Mathematics-
pubs.organisational-data/Brunel/Brunel Staff by College/Department/Division/College of Engineering, Design and Physical Sciences/Dept of Mathematics/Mathematical Sciences-
pubs.organisational-data/Brunel/University Research Centres and Groups-
pubs.organisational-data/Brunel/University Research Centres and Groups/Brunel Business School - URCs and Groups-
pubs.organisational-data/Brunel/University Research Centres and Groups/Brunel Business School - URCs and Groups/Centre for Research into Entrepreneurship, International Business and Innovation in Emerging Markets-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Brunel Institute for Ageing Studies-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Brunel Institute of Cancer Genetics and Pharmacogenomics-
pubs.organisational-data/Brunel/University Research Centres and Groups/School of Health Sciences and Social Care - URCs and Groups/Centre for Systems and Synthetic Biology-
Appears in Collections:Dept of Mathematics Research Papers
Mathematical Sciences

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