Please use this identifier to cite or link to this item: http://hdl.handle.net/11718/18344
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dc.contributor.advisorParich, Jitendra C.
dc.contributor.authorKhurana, Bhuvnesh
dc.date.accessioned2016-08-19T10:42:11Z
dc.date.available2016-08-19T10:42:11Z
dc.date.copyright2002
dc.date.issued2002
dc.identifier.urihttp://hdl.handle.net/11718/18344
dc.description.abstractAbstract This work focuses on applying the concepts of Chaos Theory and Nonlinear Dynamics to analyze financial data. The report starts with a brief treatise on the basic concepts of Chaos Theory, Nonlinear Dynamics and Fragmentary. Previous attempts reported in literature to apply these concepts to studying financial markets have also been documented . Building on these concepts various statistical tools have been applied to study the presence of chaos and scaling behavior in High frequency time series for the Nifty Index . A statistical study has been done for high frequency stock price time series in order to test the nature of the underlying probability distribution of these returns and test the presence of scaling.en_US
dc.language.isoenen_US
dc.publisherIndian Institute of Management Ahmedabaden_US
dc.relation.ispartofseriesSP;000976
dc.subjectChaos theoryen_US
dc.subjectScaling Behaviouren_US
dc.subjectFinancial dataen_US
dc.subjectHigh frequence dataen_US
dc.titleUsing fundamentals of Chaos theory and scaling Behaviour in studying financial dataen_US
dc.typeStudent Projecten_US
Appears in Collections:Student Projects

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