Predictability analysis of the Pound’s Brexit exchange rates based on Google Trends data
Abstract During the last decade, the use of online search traffic data is becoming popular in examining, analyzing, and predicting human behavior, with Google Trends being a popular tool in monitoring and analyzing the users' online search patterns in several research areas, like health, medici...
Main Authors: | Amaryllis Mavragani, Konstantinos Gkillas, Konstantinos P. Tsagarakis |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2020-09-01
|
Series: | Journal of Big Data |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s40537-020-00337-2 |
Similar Items
-
Predicting referendum results in the Big Data Era
by: Amaryllis Mavragani, et al.
Published: (2019-01-01) -
Forecasting AIDS prevalence in the United States using online search traffic data
by: Amaryllis Mavragani, et al.
Published: (2018-05-01) -
Quantifying the UK Online Interest in Substances of the EU Watchlist for Water Monitoring: Diclofenac, Estradiol, and the Macrolide Antibiotics
by: Amaryllis Mavragani, et al.
Published: (2016-11-01) -
What Does Google Trends Tell Us about the Impact of Brexit on the Unemployment Rate in the UK?
by: Mihaela Simionescu, et al.
Published: (2020-01-01) -
Infoveillance of infectious diseases in USA: STDs, tuberculosis, and hepatitis
by: Amaryllis Mavragani, et al.
Published: (2018-09-01)