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- Author: Michael Nofer
- Publisher: Springer Vieweg
- Year: 2015
- Pages: 128
- ISBN-10: 3658095075
- ISBN-13: 9783658095079
- Format: 14.8 x 21 x 0.9 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
The Value of Social Media for Predicting Stock Returns (e-book) (used book) | bookbook.eu
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Description
Michael Nofer examines whether and to what extent Social Media can be used to predict stock returns. Market-relevant information is available on various platforms on the Internet, which largely consist of user generated content. For instance, emotions can be extracted in order to identify the investors' risk appetite and in turn the willingness to invest in stocks. Discussion forums also provide an opportunity to identify opinions on certain companies. Taking Social Media platforms as examples, the author examines the forecasting quality of user generated content on the Internet.
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- Author: Michael Nofer
- Publisher: Springer Vieweg
- Year: 2015
- Pages: 128
- ISBN-10: 3658095075
- ISBN-13: 9783658095079
- Format: 14.8 x 21 x 0.9 cm, minkšti viršeliai
- Language: English English
Michael Nofer examines whether and to what extent Social Media can be used to predict stock returns. Market-relevant information is available on various platforms on the Internet, which largely consist of user generated content. For instance, emotions can be extracted in order to identify the investors' risk appetite and in turn the willingness to invest in stocks. Discussion forums also provide an opportunity to identify opinions on certain companies. Taking Social Media platforms as examples, the author examines the forecasting quality of user generated content on the Internet.
Reviews