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Title: Olympic news and attitudes towards the Olympics: a compositional time-series analysis of how sentiment is affected by events
Authors: Dawson, Peter
Downward, Paul M.
Mills, Terence C.
Keywords: Attitudes
Olympic Games
Compositional time-series
Issue Date: 2014
Publisher: © Taylor & Francis
Citation: DAWSON, P., DOWNWARD, P. and MILLS, T.C., 2014. Olympic news and attitudes towards the Olympics: a compositional time-series analysis of how sentiment is affected by events. Journal of Applied Statistics, 41 (6), pp. 1307 - 1314.
Abstract: Sentiment affects the evolving economic valuation of companies through the stock market. It is unclear how 'news' affects the sentiment towards major public investments like the Olympics. In this paper we consider, from the context of the pre-event stage of the 30th Olympiad, the relationship between attitudes towards the Olympics and Olympic-related news; specifically the bad news associated with an increase in the cost of provision, and the good news associated with Team Great Britain's medal success in 2008. Using a unique data set and an event-study approach that involves compositional time-series analysis, it is found that 'good' news affects sentiments much more than 'bad', but that the distribution of such sentiment varies widely. For example, a much more pronounced effect of good news is identified for females than males, but 'bad' news has less of an impact on the young and older age groups. © 2013 Taylor & Francis.
Description: This is an Accepted Manuscript of an article published in the Journal of Applied Statistics on 19 Dec 2013, available online: http://www.tandfonline.com/10.1080/02664763.2013.868417
Version: Accepted
DOI: 10.1080/02664763.2013.868417
URI: https://dspace.lboro.ac.uk/2134/19908
Publisher Link: http://dx.doi.org/10.1080/02664763.2013.868417
ISSN: 0266-4763
Appears in Collections:Published Articles (Sport, Exercise and Health Sciences)

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