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

Dawson, Peter, Downward, Paul and Mills, Terence 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. ISSN 0266-4763

Full text not available from this repository. (Request a copy)

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.

Item Type:	Article
Uncontrolled Keywords:	compositional time-series,olympic games,news,attitudes,london,impact,games
Faculty \ School:	Faculty of Social Sciences > School of Economics
UEA Research Groups:	Faculty of Social Sciences > Research Groups > Applied Econometrics And Finance Faculty of Social Sciences > Research Groups > Behavioural Economics
Depositing User:	LivePure Connector
Date Deposited:	03 May 2019 10:30
Last Modified:	22 Oct 2022 04:43
URI:	https://ueaeprints.uea.ac.uk/id/eprint/70812
DOI:	10.1080/02664763.2013.868417

Actions (login required)

View Item