RNR vs SIGI

RenaissanceRe Holdings Ltd. vs Selective Insurance Group, Inc. — Valuation Comparison 2026

RNR

Fire, Marine & Casualty Insurance
RenaissanceRe Holdings Ltd.
Quality
10.0
out of 10
Value Trap
12
SAFE
Price
$280.35
Last close
Models
11/13
Active
VS

SIGI

Fire, Marine & Casualty Insurance
Selective Insurance Group, Inc.
Quality
5.6
out of 10
Value Trap
18
SAFE
Price
$86.54
Last close
Models
13/13
Active

Model-by-Model Comparison

ModelType RNR Fair ValueRNR Upside SIGI Fair ValueSIGI Upside
Bayesian DCF Intrinsic $523.27 +86.6% $38.80 -55.2%
Earnings Power Value Intrinsic $322.04 +14.9% $53.22 -38.5%
EROIC Spread Intrinsic $•••.•• ••.•% $•••.•• ••.•%
First Chicago Scenario $•••.•• ••.•% $•••.•• ••.•%
Markov DDM Intrinsic $•••.•• ••.•% $•••.•• ••.•%
ML-RIV Intrinsic $•••.•• ••.•% $•••.•• ••.•%
Dynamic NAV Asset-Based $•••.•• ••.•% $•••.•• ••.•%
PWERM Option-Based $•••.•• ••.•% $•••.•• ••.•%
Regime Cross-Sectional Relative $•••.•• ••.•% $•••.•• ••.•%
Sentiment SOTP Hybrid $•••.•• ••.•% $•••.•• ••.•%
CUCE Ensemble Ensemble $•••.•• ••.•% $•••.•• ••.•%
FTNN Topology Relative $•••.•• ••.•% $•••.•• ••.•%
RCMH-DCF Intrinsic $•••.•• ••.•% $•••.•• ••.•%
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RNR vs SIGI — Which Stock Is More Undervalued?

RNR scores higher with a 10.0/10 quality rating vs SIGI's 5.6/10. Both stocks are analyzed daily using SEC EDGAR filings across 13 independent models.

Comparing RenaissanceRe Holdings Ltd. (RNR) and Selective Insurance Group, Inc. (SIGI) across 13 institutional-grade valuation models reveals how each company's intrinsic value stacks up against its market price. CirclFi's engine processes SEC EDGAR 10-K and 10-Q filings, FRED macroeconomic data, and GDELT news sentiment to generate independent fair value estimates daily.

RNR currently trades at $280.35 with a QOC of 10.0/10, while SIGI trades at $86.54 with a QOC of 5.6/10.

Both companies are analyzed with models spanning intrinsic (Bayesian DCF, EPV), scenario-based (First Chicago), regime-switching (Markov DDM, RCMH-DCF), machine learning (ML-RIV, FTNN Topology), and ensemble methods (CUCE).