Olympic news and attitudes towards the Olympics: a compositional time-series analysis of how sentiment is affected by events

Peter Dawson, Paul Downward, Terence C. Mills

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1307-1314
Number of pages8
JournalJournal of Applied Statistics
Volume41
Issue number6
Early online date19 Dec 2013
DOIs
Publication statusPublished - 3 Jun 2014

Keywords

  • compositional time-series
  • Olympic Games
  • news
  • attitudes
  • LONDON
  • IMPACT
  • GAMES

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