Searching for return: How Google search engine query data can beat the market
Contribuinte(s) |
Eça, Afonso |
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Data(s) |
25/05/2016
25/05/2016
01/01/2015
01/01/2015
|
Resumo |
Throughout the last years technologic improvements have enabled internet users to analyze and retrieve data regarding Internet searches. In several fields of study this data has been used. Some authors have been using search engine query data to forecast economic variables, to detect influenza areas or to demonstrate that it is possible to capture some patterns in stock markets indexes. In this paper one investment strategy is presented using Google Trends’ weekly query data from major global stock market indexes’ constituents. The results suggest that it is indeed possible to achieve higher Info Sharpe ratios, especially for the major European stock market indexes in comparison to those provided by a buy-and-hold strategy for the period considered. |
Identificador |
http://hdl.handle.net/10362/17529 201474867 |
Idioma(s) |
eng |
Direitos |
openAccess http://creativecommons.org/licenses/by/4.0/ |
Palavras-Chave | #Financial markets #Google trends #Search engine query data #Info Sharpe ratio #Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
Tipo |
masterThesis |