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	<title>Definition:Emerging risk - Revision history</title>
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	<updated>2026-06-14T19:10:54Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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		<id>https://www.insurerbrain.com/w/index.php?title=Definition:Emerging_risk&amp;diff=8959&amp;oldid=prev</id>
		<title>PlumBot: Bot: Creating new article from JSON</title>
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		<summary type="html">&lt;p&gt;Bot: Creating new article from JSON&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;🌐 &amp;#039;&amp;#039;&amp;#039;Emerging risk&amp;#039;&amp;#039;&amp;#039; describes a newly developing or rapidly evolving threat whose scope, probability, and potential impact on the insurance industry are not yet fully understood. These risks often arise from technological change, shifting societal behaviors, environmental transformation, or regulatory evolution — think [[Definition:Cyber insurance | cyber]] threats in the early 2010s, the insurance implications of [[Definition:Artificial intelligence | artificial intelligence]] liability, or the long-tail consequences of [[Definition:Climate risk | climate change]]. For [[Definition:Insurance carrier | insurers]], emerging risks represent both a strategic challenge — they strain traditional [[Definition:Actuarial analysis | actuarial models]] built on historical data — and a commercial opportunity to develop new products ahead of competitors.&lt;br /&gt;
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🔬 Identifying and assessing emerging risks typically involves horizon-scanning exercises, scenario analysis, and cross-disciplinary research. [[Definition:Reinsurance | Reinsurers]] like Swiss Re and Munich Re publish annual emerging risk reports that the broader market uses as reference points. Internally, insurers may convene dedicated emerging risk committees that draw on [[Definition:Underwriting | underwriting]], [[Definition:Claims | claims]], legal, and scientific expertise to evaluate how a nascent threat might translate into insured losses. Because historical [[Definition:Loss data | loss data]] is sparse or nonexistent, traditional [[Definition:Pricing | pricing]] techniques fall short, pushing [[Definition:Actuary | actuaries]] toward expert judgment, [[Definition:Stochastic modeling | stochastic modeling]], and [[Definition:Catastrophe modeling | scenario-based approaches]]. Regulatory frameworks such as [[Definition:Solvency II | Solvency II]] explicitly require insurers to consider emerging risks within their [[Definition:Own risk and solvency assessment (ORSA) | ORSA]] processes.&lt;br /&gt;
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⚡ Failing to engage with emerging risks early can leave insurers exposed to accumulations they never anticipated — as the industry learned with [[Definition:Asbestos | asbestos]] and environmental liability decades ago. Conversely, carriers that move quickly to understand and price these risks can capture first-mover advantage in nascent markets. [[Definition:Cyber insurance | Cyber insurance]] stands as a recent success story: firms that invested in understanding digital threats early built profitable portfolios while latecomers struggled with [[Definition:Adverse selection | adverse selection]] and thin data. Today, emerging risk discussions center on topics like [[Definition:Artificial intelligence | AI]] liability, [[Definition:Microplastics | microplastics]], [[Definition:Pandemic risk | pandemic risk]], and the systemic effects of [[Definition:Climate risk | climate change]], each of which could reshape [[Definition:Underwriting | underwriting]] portfolios and [[Definition:Reinsurance | reinsurance]] structures for years to come.&lt;br /&gt;
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&amp;#039;&amp;#039;&amp;#039;Related concepts:&amp;#039;&amp;#039;&amp;#039;&lt;br /&gt;
{{Div col|colwidth=20em}}&lt;br /&gt;
* [[Definition:Climate risk]]&lt;br /&gt;
* [[Definition:Cyber insurance]]&lt;br /&gt;
* [[Definition:Catastrophe modeling]]&lt;br /&gt;
* [[Definition:Own risk and solvency assessment (ORSA)]]&lt;br /&gt;
* [[Definition:Systemic risk]]&lt;br /&gt;
* [[Definition:Scenario analysis]]&lt;br /&gt;
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