Analysis of overreaction and underreaction in the American stock market using fuzzy clustering means algorithm

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dc.contributor.authorRenato Aguiar
dc.contributor.authorMOURA SALES, R.
dc.contributor.authorOrcidhttps://orcid.org/0000-0002-4413-3847
dc.date.accessioned2022-01-12T22:03:43Z
dc.date.available2022-01-12T22:03:43Z
dc.date.issued2010-09-17
dc.description.abstractIn this paper empirical tests for the analysis of overreaction and underreaction hypothesis in the American stock market are presented. For these tests a new methodology based on the fuzzy clustering means algorithm is proposed. Such methodology is strongly connected with two heuristics of behavioral finance: representativeness and anchoring. The proposed methodology is used to form portfolios through financial ratios of public companies and the results obtained are consistent with the strong influence of overreaction in the American stock market. The analysis is applied for stocks from oil and gas, textile and, steel and iron sectors, with financial indexes ranging from 1999 to 2007. © 2010 IEEE.
dc.description.firstpage376
dc.description.lastpage380
dc.identifier.citationAGUIAR, R. A.; MOURA SALES, R. Analysis of overreaction and underreaction in the American stock market using fuzzy clustering means algorithm. Proceedings - 2010 2nd IEEE International Conference on Information and Financial Engineering, ICIFE 2010, p. 376-380, Sept. 2010.
dc.identifier.doi10.1109/ICIFE.2010.5609382
dc.identifier.urihttps://repositorio.fei.edu.br/handle/FEI/4222
dc.relation.ispartofProceedings - 2010 2nd IEEE International Conference on Information and Financial Engineering, ICIFE 2010
dc.rightsAcesso Restrito
dc.subject.otherlanguageBehavioral Finance
dc.subject.otherlanguageFuzzy Clustering Means
dc.subject.otherlanguageOverreaction
dc.subject.otherlanguageStock Classification
dc.subject.otherlanguageUnderreaction
dc.titleAnalysis of overreaction and underreaction in the American stock market using fuzzy clustering means algorithm
dc.typeArtigo de evento
fei.scopus.citations1
fei.scopus.eid2-s2.0-78650283052
fei.scopus.subjectBehavioral finance
fei.scopus.subjectFuzzy Clustering Means
fei.scopus.subjectOverreaction
fei.scopus.subjectStock classification
fei.scopus.subjectUnderreaction
fei.scopus.updated2024-08-01
fei.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=78650283052&origin=inward
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