Following events like Hurricane Ian, the reinsurance market has repriced risk dramatically. Wagner explains that a risk historically priced to pay out 15-20% (implying a ~1-in-6 year event) is now priced to pay out over 50% (implying a 1-in-2 year event), creating a significant opportunity from the dislocation.

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Leaders often conflate seeing a risk with understanding it. In 2020, officials saw COVID-19 but didn't understand its airborne spread. Conversely, society understands the risk of drunk driving but fails to see it most of the time. Truly managing risk requires addressing both visibility and comprehension.

Conventional definitions of risk, like volatility, are flawed. True risk is an event you did not anticipate that forces you to abandon your strategy at a bad time. Foreseeable events, like a 50% market crash, are not risks but rather expected parts of the market cycle that a robust strategy should be built to withstand.

Insurers like AIG are seeking to exclude liabilities from AI use, such as deepfake scams or chatbot errors, from standard corporate policies. This forces businesses to either purchase expensive, capped add-ons or assume a significant new category of uninsurable risk.

Afeyan distinguishes risk (known probabilities) from uncertainty (unknown probabilities). Since breakthrough innovation deals with the unknown, traditional risk/reward models fail. The correct strategy is not to mitigate risk but to pursue multiple, diverse options to navigate uncertainty.

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The dominance of passive funds and hyper-short-term pod shops has doubled the average stock price movement in the REIT space. This increased volatility creates opportunities for long-term investors to capitalize on exaggerated market reactions to minor news.

The valuation gap between public and private real estate is historically wide. Sunbelt apartment REITs trade at implied cap rates of 6.5-7%, while similar private assets trade near 5-5.25%. This disconnect presents a compelling opportunity for public market investors to acquire quality assets at a significant discount.

Wagner found a derivative in an Asian market trading at 10-20% of its intrinsic value. This extreme mispricing is a direct result of huge, persistent, and structural shorting demand from quant funds and pod shops, creating a rare asymmetric opportunity for those willing to take the other side.

Hard Numbers agency launched during the COVID pandemic by creating a financial model assuming zero client wins for six months. This worst-case scenario planning provided the confidence to proceed during extreme market uncertainty, proving to be a critical risk mitigation strategy.

Reinsurance Markets Now Price a 1-in-10 Year Risk at a 1-in-2 Year Payout | RiffOn