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RNR

RenaissanceReC
NYSE / Insurance
Last Price
At close
2026-06-02
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AI scenario view

RankAlpha Sentiment AI
B+
Bull case
25%
Probability
Target price
$380.00
+36.8% vs current
Most likely
B
Base case
55%
Probability
Target price
$310.00
+11.6% vs current
B-
Bear case
20%
Probability
Target price
$260.00
-6.4% vs current

AI sentiment snapshot

Latest data as of 2026-02-04
Recent news sentiment (30D)
+18.4
Positive
Company
+23.6
Positive
Macro
+18.6
Positive
Pulse
-32.0
Negative
Sentiment proxy
+63.4
Score

AI commentary

Market commentary is mixed: recent broker target adjustments show both upside and caution (consensus median ~ $302) with notable outliers on both ends [#SERP-4][#SERP-2]. Broker notes and target revisions (e.g., recent target increases) signal selective optimism but overall measured positioning by analysts [#SERP-8]. Investor sentiment centers on reserve clarity and catastrophe exposure as key near-term drivers [#SERP-3].

RankAlpha Sentiment AI - 2026-02-04
Open full AI memo

Evidence flagged

No evidence quality warning is currently attached to this memo.

Impact
standard
Confidence
-

AI events

2026-05-05catalystQuarterly earnings & reserve updateMedium impact

Next quarterly results and reserve development commentary could drive near-term re-rating; market sensitivity to reserve releases or adverse development remains high [#SERP-7].

2026-11-30event2026 North Atlantic hurricane season outcomesHigh impact

Industry catastrophe losses from the 2026 hurricane season will materially affect earnings and surplus; using the season end as the assessment date (assumption: Nov 30 window end) to gauge tail-loss impact.

2027-02-04catalystUnderwriting cycle recovery / price adequacyHigh impact

Multi-quarter improvement in reinsurance pricing or sustained favorable loss trends would support outsized upside; conversely, reserve deterioration would pressure valuation (scenario horizon) [#SERP-3].

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Recommendation

N/A

No formal recommendation provided.

Open AI Memo
As of 2026-02-04 • Updated nightlySource: Internal modelMethodology