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A Study of Social Network Effects on the Stock Market.

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Title: A Study of Social Network Effects on the Stock Market.
Authors: Reed, Markum (AUTHOR)
Source: Journal of Behavioral Finance. Oct-Dec2016, Vol. 17 Issue 4, p342-351. 10p.
Subjects: Stock exchanges, Social networks, Consumer confidence, Economic indicators, Rate of return on stocks, Personal finance
Abstract: Consumer confidence is an economic indicator that measures the degree of optimism that consumers feel about the overall state of the economy as well as their personal financial situation. The authors measure consumer sentiment via analysis of social networks and show that such sentiment affects stock prices; specifically, the S&P 500 and the Dow Jones Industrial Average. Shiller, Fischer and Freidman [1984], Fisher and Statman [2003], and Bremmer [2008] also examine the influence of consumer sentiment, measured from Conference Board data, on the stock market. The authors add to this literature by creating a measure of consumer confidence by utilizing Twitter data and by examining the relationship between our measure of consumer sentiment and the S&P 500 and the Dow. They implemented lexicographic analysis of Twitter data over a three-month period and found that talk intensity of economic issues not only causes shifts in the daily stock market prices, but also has a significant negative effect. [ABSTRACT FROM PUBLISHER]
Copyright of Journal of Behavioral Finance is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: A Study of Social Network Effects on the Stock Market.
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  Data: <searchLink fieldCode="DE" term="%22Stock+exchanges%22">Stock exchanges</searchLink><br /><searchLink fieldCode="DE" term="%22Social+networks%22">Social networks</searchLink><br /><searchLink fieldCode="DE" term="%22Consumer+confidence%22">Consumer confidence</searchLink><br /><searchLink fieldCode="DE" term="%22Economic+indicators%22">Economic indicators</searchLink><br /><searchLink fieldCode="DE" term="%22Rate+of+return+on+stocks%22">Rate of return on stocks</searchLink><br /><searchLink fieldCode="DE" term="%22Personal+finance%22">Personal finance</searchLink>
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  Label: Abstract
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  Data: Consumer confidence is an economic indicator that measures the degree of optimism that consumers feel about the overall state of the economy as well as their personal financial situation. The authors measure consumer sentiment via analysis of social networks and show that such sentiment affects stock prices; specifically, the S&P 500 and the Dow Jones Industrial Average. Shiller, Fischer and Freidman [1984], Fisher and Statman [2003], and Bremmer [2008] also examine the influence of consumer sentiment, measured from Conference Board data, on the stock market. The authors add to this literature by creating a measure of consumer confidence by utilizing Twitter data and by examining the relationship between our measure of consumer sentiment and the S&P 500 and the Dow. They implemented lexicographic analysis of Twitter data over a three-month period and found that talk intensity of economic issues not only causes shifts in the daily stock market prices, but also has a significant negative effect. [ABSTRACT FROM PUBLISHER]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Journal of Behavioral Finance is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/15427560.2016.1238371
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 10
        StartPage: 342
    Subjects:
      – SubjectFull: Stock exchanges
        Type: general
      – SubjectFull: Social networks
        Type: general
      – SubjectFull: Consumer confidence
        Type: general
      – SubjectFull: Economic indicators
        Type: general
      – SubjectFull: Rate of return on stocks
        Type: general
      – SubjectFull: Personal finance
        Type: general
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      – TitleFull: A Study of Social Network Effects on the Stock Market.
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              Text: Oct-Dec2016
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              Y: 2016
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