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Collective Perception and Exchange Rates.

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Title: Collective Perception and Exchange Rates.
Authors: Reed, Markum, Ankouri, Kaotar
Source: Journal of Behavioral Finance. Jan-Mar2019, Vol. 20 Issue 1, p53-65. 13p.
Subjects: Foreign exchange rates, Multivariate analysis, Investors, Autoregressive models, Search engines
Abstract: The authors' research suggests that people search online for information on currency exchange rates and that this information-seeking process can be translated into data on people's interest for a given currency. The authors utilize Google Trends data to capture the level of interest in 3 currency pairs: the euro, the pound sterling, and the Canadian dollar against the U.S. dollar and conduct a multivariate data analysis in the context of vector-autoregressive models. The findings suggest that there is a small but significant impact on collective perception on exchange rates. The authors show that Google Trends data could be an important source of information for investors looking into exchange rate trends. [ABSTRACT FROM AUTHOR]
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: Collective Perception and Exchange Rates.
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  Data: <searchLink fieldCode="AR" term="%22Reed%2C+Markum%22">Reed, Markum</searchLink><br /><searchLink fieldCode="AR" term="%22Ankouri%2C+Kaotar%22">Ankouri, Kaotar</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Foreign+exchange+rates%22">Foreign exchange rates</searchLink><br /><searchLink fieldCode="DE" term="%22Multivariate+analysis%22">Multivariate analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Investors%22">Investors</searchLink><br /><searchLink fieldCode="DE" term="%22Autoregressive+models%22">Autoregressive models</searchLink><br /><searchLink fieldCode="DE" term="%22Search+engines%22">Search engines</searchLink>
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  Label: Abstract
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  Data: The authors' research suggests that people search online for information on currency exchange rates and that this information-seeking process can be translated into data on people's interest for a given currency. The authors utilize Google Trends data to capture the level of interest in 3 currency pairs: the euro, the pound sterling, and the Canadian dollar against the U.S. dollar and conduct a multivariate data analysis in the context of vector-autoregressive models. The findings suggest that there is a small but significant impact on collective perception on exchange rates. The authors show that Google Trends data could be an important source of information for investors looking into exchange rate trends. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  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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        Value: 10.1080/15427560.2018.1461100
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        Text: English
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      – SubjectFull: Foreign exchange rates
        Type: general
      – SubjectFull: Multivariate analysis
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      – SubjectFull: Investors
        Type: general
      – SubjectFull: Autoregressive models
        Type: general
      – SubjectFull: Search engines
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      – TitleFull: Collective Perception and Exchange Rates.
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              Text: Jan-Mar2019
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