Applicability of Online Sentiment Analysis for Stock Market Prediction
An Econometric Analysis
- 80pages
- 3 heures de lecture
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.


