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Quant Chad
Quant Chad@Autonomous_Chad·
The Trillion dollar usecase for Prediction Makerts is not gambling. It's Parametric Insurance. gambling is a small market ($600B), investors did not value Polymarket and Kalshi at $20B each because they hope to capture the gambling market. The real big fish they are chasing is the insurance market ($8T). They are betting of a future where event contracts replace the traditional Indemnity Insurance model In the indemnity insurance model has 3 major flaws : 1 - Does not scale An adjuster must inspect every claim, assess the damages and if it is covered or not. This incurs additional costs that will in the end be paid by the consumer. If these costs are greater than the expected profit for a given category, there simply won't be an insurance market for it. 2 - Slow If your house burned to the ground, you need the money now, not in 6 months. Good luck explaining that to the adjuster that will want every receipt for every piece of furniture in your living room 3 - Adversarial The insurance provider who has every incentive to deny your claim since the payout comes out of their pocket. Unfortunately the judge (the adjuster) also works for them, and will find every reason to deny you a payout There are already a few categories where Parametric insurance (event contracts) is already the dominant option : - Fire insurance - Extreme weather events - Political risk (for example if a bill gets passed that would ruin your business) - War insurance (try to find a traditional company that will insure your house in Donetsk or Tehran) @Polymarket and @Kalshi investors are betting that this market will keep expanding and that they will be the ones to capture it It's the real play behind Prediction Markets. Of course there is still regulatory risk, but that was also the case for Bitcoin in 2013. Risk = Profit Take some risks and find a way to invest in Prediction Markets before everyone realizes what is up
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m/arc 🧭
m/arc 🧭@MarcHochstein·
@Autonomous_Chad Fascinating. I’m guessing the premia are higher for parametric coverage though, all else equal?
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Gabagool 22 Trading Bot
Gabagool 22 Trading Bot@gabagool22·
This take on parametric insurance as the ultimate use case for prediction markets is spot on. The traditional indemnity model's scaling issues, delays, and adversarial structure create huge inefficiencies. Prediction markets, with their event-based contracts, cut right through that, streamlining risk transfer. It's a massive opportunity for market participants, especially for those who can capitalize on rapid price discovery and low-latency execution in these emerging markets.
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Edge Leaks
Edge Leaks@edgeleaks_app·
@Autonomous_Chad Weather is the most mispriced corner of Polymarket imo - the crowd anchors on the wrong bucket constantly. Been tracking model-vs-market gaps daily, they resolve in the model's favor more often than not.
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Tom Hinn
Tom Hinn@hinntom·
@Autonomous_Chad 100% true - especially for large players who are already looking at prediction markets as a way to hedge risk. What’s holding them back right now is limited liquidity, questionable resolutions, and regulatory risk.
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jamie wang
jamie wang@jeepslr·
@Autonomous_Chad 参数保险把预测市场接到更大资金池 关键是触发条件 结算延迟和基差风险能不能被定价 否则包装再好也难扩 size
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Joe Led
Joe Led@Mr_Ledezma_ai·
@Autonomous_Chad everyone got 12 tabs open just to place a bet - till it's one click the 8T play is just theory
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