Bubbles, Blind-Spots and Brexit
Clicks: 242
ID: 28544
2017
Article Quality & Performance Metrics
Overall Quality
Improving Quality
0.0
/100
Combines engagement data with AI-assessed academic quality
Reader Engagement
Steady Performance
65.2
/100
241 views
195 readers
Trending
AI Quality Assessment
Not analyzed
Abstract
In this paper we develop a well-established financial model to investigate whether bubbles were present in opinion polls and betting markets prior to the UK’s vote on EU membership on 23 June 2016. The importance of our contribution is threefold. Firstly, our continuous-time model allows for irregularly spaced time series—a common feature of polling data. Secondly, we build on qualitative comparisons that are often made between market cycles and voting patterns. Thirdly, our approach is theoretically elegant. Thus, where bubbles are found we suggest a suitable adjustment. We find evidence of bubbles in polling data. This suggests they systematically over-estimate the proportion voting for remain. In contrast, bookmakers’ odds appear to show none of this bubble-like over-confidence. However, implied probabilities from bookmakers’ odds appear remarkably unresponsive to polling data that nonetheless indicates a close-fought vote.
| Reference Key |
fry2017bubblesrisks
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Fry, John;Brint, Andrew; |
| Journal | risks |
| Year | 2017 |
| DOI |
DOI not found
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.