Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/57550
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dc.contributor.authorVladik Kreinovichen_US
dc.contributor.authorSongsak Sriboonchittaen_US
dc.date.accessioned2018-09-05T03:45:29Z-
dc.date.available2018-09-05T03:45:29Z-
dc.date.issued2017-01-01en_US
dc.identifier.issn16860209en_US
dc.identifier.other2-s2.0-85039706979en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85039706979&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/57550-
dc.description.abstract© 2017 by the Mathematical Association of Thailand. All rights reserved. Several studies have shown that financial analysts systematically under-predict the companies’ performance, so that quarter after the quarter, 70-75% of the companies outperform these predictions. This percentage remains the same where the economy is in a boom or in a recession, whether we are in a period of strong or weak regulations. In this paper, we provide a possible Maximum Entropy-based explanation for this empirical phenomenon – an explanation rooted in the fact that financial analysts mostly analyze financial data, while to get a more accurate prediction, it is important to go deeper, into the technical issues underlying the companies functioning.en_US
dc.subjectMathematicsen_US
dc.titleMaxent-based explanation of why financial analysts systematically under-predict companies’ performanceen_US
dc.typeJournalen_US
article.title.sourcetitleThai Journal of Mathematicsen_US
article.volume15en_US
article.stream.affiliationsUniversity of Texas at El Pasoen_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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