The availability of new data and techniques enriched the existing extensive literature on the importance of investors’ sentiment and on his impact of the stock price oscillations. The purpose of this paper is to exploit micro-blogging data in order to construct a new index-tracking variable that may be used to earn some insights on the Nasdaq-100’s future movements. The results are promising: the models augmented with the newly created variable show an incremented explanatory power with respect to the benchmark.

The Power of Micro-Blogging: How to Use Twitter to Predict the Stock Market

CERVELLATI, Enrico Maria
2015-01-01

Abstract

The availability of new data and techniques enriched the existing extensive literature on the importance of investors’ sentiment and on his impact of the stock price oscillations. The purpose of this paper is to exploit micro-blogging data in order to construct a new index-tracking variable that may be used to earn some insights on the Nasdaq-100’s future movements. The results are promising: the models augmented with the newly created variable show an incremented explanatory power with respect to the benchmark.
2015
Micro-Blogging
Sentiment Analysis
Forecasting
Twitter
Stock Index
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14085/2312
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