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PRA's Sortino Ratio of 2.38 indicates that for each unit of downside volatility, it generates 2.38 units of excess return. The ratio is calculated using historical daily returns over the past 12 months (as of Jul 14, 2026).

Unlike other measures, Sortino only focuses on downside volatility (losses), making it particularly useful for investors more concerned about protecting against drawdowns than overall price swings.

PRA Sortino Ratio Market Positioning

The chart shows PRA's Sortino Ratio relative to all stocks on our platform, with color zones indicating percentile rankings. Higher ratios indicate better downside-adjusted returns.


  • Red zone (bottom 25%): -0.38 or lower
  • Yellow zone (middle 50%): -0.38 to 1.73
  • Green zone (top 25%): 1.73 or higher
  • Top 1%: 5.86+
  • Median: 0.62 — half of all investments score higher

How it compares to other similar stocks

The table compares ProAssurance Corporation's Sortino Ratio with other stocks in the Insurance - Property & Casualty industry across multiple time periods, showing how PRA's risk-adjusted performance compares to industry peers.

Data shows 1-, 5-, and 10-year periods, plus each stock's all-time average, as of Jul 14, 2026.


SymbolName1Y Sortino Ratio5Y Sortino Ratio10Y Sortino RatioAll Time Sortino Ratio
UFCSUnited Fire Group, Inc.4.51
MCYMercury General Corporation3.30
UVEUniversal Insurance Holdings, Inc.3.14
TRVThe Travelers Companies, Inc.2.80
THGThe Hanover Insurance Group, Inc.2.43
CBChubb Limited2.42
LLoews Corporation2.37
HMNHorace Mann Educators Corporation2.25
ALLThe Allstate Corporation2.08
SMPNYSompo Holdings Inc ADR2.02
PRAProAssurance Corporation

S&P 500 Index

How to choose period

Historical Sortino Ratio

The chart shows PRA's rolling Sortino ratio over time compared to your chosen benchmark. Rising trends indicate improving returns relative to downside risk, while declining trends may signal deteriorating risk-adjusted performance or increased volatility during market stress. Use multiple timeframes to distinguish short-term fluctuations from long-term patterns.

Identify market cycles by observing when PRA consistently outperforms (line above benchmark), underperforms (below benchmark), or aligns with the benchmark.


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