The Value of Social Media for Predicting Stock Returns: Preconditions, Instruments and Performance Analysis
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 invest...
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| Định dạng: | Sách |
| Ngôn ngữ: | English |
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Springer
2015
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| Truy cập trực tuyến: | https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57998 |
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oai:scholar.dlu.edu.vn:DLU123456789-579982023-11-11T05:56:53Z The Value of Social Media for Predicting Stock Returns: Preconditions, Instruments and Performance Analysis Nofer, Michael Economic aspects Online social networks Stock price forecasting Speculation 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. 2015-09-04T08:19:05Z 2015-09-04T08:19:05Z 2015 Book 978-3-658-09508-6 https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57998 en application/pdf Springer |
| institution |
Thư viện Trường Đại học Đà Lạt |
| collection |
Thư viện số |
| language |
English |
| topic |
Economic aspects Online social networks Stock price forecasting Speculation |
| spellingShingle |
Economic aspects Online social networks Stock price forecasting Speculation Nofer, Michael The Value of Social Media for Predicting Stock Returns: Preconditions, Instruments and Performance Analysis |
| 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. |
| format |
Book |
| author |
Nofer, Michael |
| author_facet |
Nofer, Michael |
| author_sort |
Nofer, Michael |
| title |
The Value of Social Media for Predicting Stock Returns:
Preconditions, Instruments and Performance Analysis |
| title_short |
The Value of Social Media for Predicting Stock Returns:
Preconditions, Instruments and Performance Analysis |
| title_full |
The Value of Social Media for Predicting Stock Returns:
Preconditions, Instruments and Performance Analysis |
| title_fullStr |
The Value of Social Media for Predicting Stock Returns:
Preconditions, Instruments and Performance Analysis |
| title_full_unstemmed |
The Value of Social Media for Predicting Stock Returns:
Preconditions, Instruments and Performance Analysis |
| title_sort |
value of social media for predicting stock returns:
preconditions, instruments and performance analysis |
| publisher |
Springer |
| publishDate |
2015 |
| url |
https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/57998 |
| _version_ |
1782532978005508096 |