Abstract Details
|
Activity Number:
|
180
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Monday, August 4, 2014 : 10:30 AM to 12:20 PM
|
|
Sponsor:
|
Section on Statistics in Marketing
|
|
Abstract #312675
|
|
|
Title:
|
On the Modeling of Exchange Rates with Twitter Network Covariates
|
|
Author(s):
|
Mario A. Morales*+ and Ivan Zalamea
|
|
Companies:
|
tatt.io and PlaceIQ
|
|
Keywords:
|
Twitter ;
Marketing Mix Modeling
|
|
Abstract:
|
With the arise of real time search based in social topics (twitter), we studied the possible influence of topics discussions in exchange rates for the period of July to October 2013. Results based in this kind of modeling can be applied in marketing mix modeling. We will exhibit a basic Exploratory Data Analysis of the data but also a few models fitting different hypothesis tested in the data.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2014 program
|
2014 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Professional Development program, please contact the Education Department.
The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Copyright © American Statistical Association.