Background and headline findings
UBS Global Research examined share-price dispersion among European insurance companies around quarterly earnings announcements and found a consistent pattern over the last four years: the first-quarter reporting window has tended to generate lower price dispersion than other reporting periods. The brokerage's analysis shows an average standard deviation of 2.6% for the sector on Q1 results days, compared with a 3.9% average dispersion across all reporting periods.
How the quarters compare
The UBS report highlights a contrast between Q1 and the rest of the calendar. While Q1 has historically been a relatively muted period for intra-sector dispersion on results days, UBS identifies the second quarter as the period that typically produces the greatest divergence in share-price movements.
Sector and regional patterns
Within the broader insurance sector, UBS's data points to differentiated behaviors across business models and geographies. Multi-line insurers have generally shown the tightest share-price dispersion both in the first quarter and over the full year. By contrast, Nordic insurers have been the most prone to wider swings in share prices on results days.
Company-level volatility
At the individual-stock level, UBS names SCOR SE, Gjensidige Forsikring ASA and Prudential PLC as having delivered the largest share-price volatility on Q1 results days over the past four-year span. The report notes that Prudential's pattern is influenced by a smaller sample size, with two sizable positive and negative outcomes among the last four cycles contributing to its elevated dispersion.
Implications for the coming reporting season
As market participants prepare for the upcoming 1Q26 results, UBS suggests historical dispersion patterns alongside current crowding data can help investors identify where the greatest potential for volatility may lie in the weeks ahead. The firm frames Q1 history as a lens for assessing likely hotspots, while also flagging specific subgroups and individual names that have been more variable.
Note - The data and conclusions reported here reflect UBS Global Research's analysis over the last four years as described above.