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Applicability of Online Sentiment Analysis for Stock Market Prediction
An Econometric Analysis
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Focusing on online sentiment analysis, this book delves into its application for stock market predictions. It presents various tools and their historical research, alongside a Google Trend model to assess the predictive power of search volumes on the S&P 500 index. The effectiveness of this strategy is compared with a traditional buy and hold approach using historical data. Additionally, it tests the hypothesis that publicly released news can serve as a leading indicator for stock returns, while also evaluating the strengths and weaknesses of algorithmic sentiment analysis.
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Applicability of Online Sentiment Analysis for Stock Market Prediction, Petr Rýgr
- Language
- Released
- 2016
- product-detail.submit-box.info.binding
- (Paperback)
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- Title
- Applicability of Online Sentiment Analysis for Stock Market Prediction
- Subtitle
- An Econometric Analysis
- Language
- English
- Authors
- Petr Rýgr
- Publisher
- LAP LAMBERT Academic Publishing
- Released
- 2016
- Format
- Paperback
- Pages
- 80
- ISBN13
- 9783659793257
- Category
- Business and Economics
- Description
- Focusing on online sentiment analysis, this book delves into its application for stock market predictions. It presents various tools and their historical research, alongside a Google Trend model to assess the predictive power of search volumes on the S&P 500 index. The effectiveness of this strategy is compared with a traditional buy and hold approach using historical data. Additionally, it tests the hypothesis that publicly released news can serve as a leading indicator for stock returns, while also evaluating the strengths and weaknesses of algorithmic sentiment analysis.