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Applicability of Online Sentiment Analysis for Stock Market Prediction

Rýgr:Applicability of Online Sentiment
Autor: Petr Rýgr
Verfügbarkeit: nur noch 3 lieferbar
Artikelnummer: 367697
ISBN / EAN: 9783659793257

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The purpose of this book is to explore various possibilities of performing online sentiment analysis and utilizing obtained information in stock market prediction. Firstly, several tools and sources available for sentiment analysis are presented and brief history of research related to each tool is provided. Additionally, Google Trend model is designed to evaluate whether information about searching volume of selected terms can be used to predict future movements of S&P 500 index. Strategy based on such model is implemented on historical data and its cumulative return is compared to classical buy and hold strategy. Furthermore, hypothesis whether it is possible to utilize publicly released news as a leading indicator for future stock returns is tested. Lastly, proces of algorithmic sentiment analysis is described and its strengths and weaknesses are assessed.


Autor Verlag LAP Lambert Academic Publishing
ISBN / EAN 9783659793257 Bindung Taschenbuch

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