Please use this identifier to cite or link to this item: http://elea.unisa.it/xmlui/handle/10556/2175
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dc.date.accessioned2016-08-08T08:27:26Z
dc.date.available2016-08-08T08:27:26Z
dc.description2013 - 2014it_IT
dc.description.abstractThis work was created and developed to formulating a complementary methodology to Homo Oeconomicus, infact we to a rational economic operator who founded His work on concepts such as optimization, strategy and technical analysis, we propose an operator psychologically involved that is conditioned by emotions and affections such as: fear, stress, anxiety, greed etc. It is undisputed that in the financial markets some euphoria phenomena, mass psychosis, explosions of exaltation and collective hysteria generate high volatility in the system. In order to analyze the emotional aspects that typically characterize the economic operator is established and developed the Behavioural Financeas as a methodological approach which is opposed to the theories that recognize in the technical analysis the most important method for the pricing evaluation market. The intent is to formulate a descriptive model that takes into account the emotional and affective component and the impact that they exercise for a correct interpretation of the currency markets (Forex) and of the decision making process. This work forms part of the methodologies and mathematical and computer technologies in the trading support, proposing a method to make the Candlestick Analysis automatically thanks to an engine or a computational engine specially developed for the pattern recognition and it defines a methodology for the identification and quantification of emotions and affectivity in a trader. The ultimate goal of the work is to provide a possible decision support system in trading activity. [edited by Author]it_IT
dc.language.isoitit_IT
dc.subject.miurMAT/05 ANALISI MATEMATICAit_IT
dc.contributor.coordinatoreScarpa, Robertoit_IT
dc.description.cicloXIII n.s.it_IT
dc.contributor.tutorIovane, Gerardoit_IT
dc.identifier.DipartimentoFisicait_IT
dc.titleCandlestick Analysis e Sistemi di Decision. Making in Behavioural Financial Computingit_IT
dc.contributor.authorLandi, Alba
dc.date.issued2016-04-15
dc.identifier.urihttp://hdl.handle.net/10556/2175
dc.typeDoctoral Thesisit_IT
dc.subjectCandlestikit_IT
dc.publisher.alternativeUniversita degli studi di Salernoit_IT
Appears in Collections:Scienze e tecnologie dell'informazione, dei sistemi complessi e dell'ambiente

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tesi_di_dottorato_A_Landi.pdftesi di dottorato3.78 MBAdobe PDFView/Open
abstract in italiano e in inglese A. Landi.pdfabstract a cura dell’autore (versione italiana e inglese)277.46 kBAdobe PDFView/Open


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