Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/9698
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dc.contributor.authorCaporale, GM-
dc.contributor.authorGil-Alana, LA-
dc.contributor.authorPlastun, A-
dc.date.accessioned2015-01-12T14:09:17Z-
dc.date.available2015-
dc.date.available2015-01-12T14:09:17Z-
dc.date.issued2016-
dc.identifier.citationComputational Economics, 47(2): pp. 275–295, (2016)en_US
dc.identifier.issn0927-7099-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/9698-
dc.description.abstractOne of the leading criticisms of the Efficient Market Hypothesis (EMH) is the presence of so-called “anomalies”, i.e. empirical evidence of abnormal behaviour of asset prices which is inconsistent with market efficiency. However, most studies do not take into account transaction costs. Their existence implies that in fact traders might not be able to make abnormal profits. This paper examines whether or not anomalies such as intraday or time of the day effects give rise to exploitable profit opportunities by replicating the actions of traders. Specifically, the analysis is based on a trading robot which simulates their behaviour, and incorporates variable transaction costs (spreads). The results suggest that trading strategies aimed at exploiting daily patterns do not generate extra profits. Further, there are no significant differences between sub-periods (2005-2006 – “normal”; 2007-2009 – “crisis”;2010-2011 – “post-crisis).en_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.subjectEfficient Market Hypothesisen_US
dc.subjectIntraday patternsen_US
dc.subjectTime of the day anomalyen_US
dc.subjectTrading strategyen_US
dc.titleIntraday anomalies and market efficiency: A trading robot analysisen_US
dc.typeArticleen_US
dc.identifier.doihttp://dx.doi.org/10.1007/s10614-015-9484-9-
dc.relation.isPartOfComputational Economics-
dc.relation.isPartOfComputational Economics-
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 Business, Arts and Social Sciences-
pubs.organisational-data/Brunel/Brunel Staff by College/Department/Division/College of Business, Arts and Social Sciences/Dept of Economics and Finance-
pubs.organisational-data/Brunel/Brunel Staff by College/Department/Division/College of Business, Arts and Social Sciences/Dept of Economics and Finance/Economics and Finance-
pubs.organisational-data/Brunel/University Research Centres and Groups-
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-
Appears in Collections:Dept of Economics and Finance Research Papers

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