Big data driven forecasting – Can Stock Market Volatility in Europe be Forecasted by Using Google Searches?

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dc.contributor Aalto University en
dc.contributor Aalto-yliopisto fi
dc.contributor.advisor Jylhä, Petri
dc.contributor.author Hyttinen, Ilari
dc.date.accessioned 2019-02-17T17:04:46Z
dc.date.available 2019-02-17T17:04:46Z
dc.date.issued 2018
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/36506
dc.format.extent 27
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.title Big data driven forecasting – Can Stock Market Volatility in Europe be Forecasted by Using Google Searches? en
dc.type G1 Kandidaatintyö fi
dc.contributor.school Kauppakorkeakoulu fi
dc.contributor.school School of Business en
dc.contributor.department Rahoituksen laitos fi
dc.subject.keyword volatility en
dc.subject.keyword Google search volume en
dc.subject.keyword investor attention en
dc.subject.keyword forecasting en
dc.identifier.urn URN:NBN:fi:aalto-201902171668
dc.type.ontasot Bachelor's thesis en
dc.type.ontasot Kandidaatintyö fi
dc.programme Rahoitus en
dc.subject.helecon stock markets


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