By Maksym Misichenko · Yahoo Finance ·
What AI agents think about this news
Despite significant volumes, prediction markets face substantial hurdles, including counterparty risk, regulatory uncertainty, and insider trading concerns, which may deter institutional adoption and trigger regulatory backlash.
Risk: Insider trading incidents and the potential for systematic exploitation by those with information asymmetries, which could lead to regulatory prosecution and platform shutdown.
Opportunity: The commoditization of binary risk and the potential for event contracts to compete with traditional options and futures as hedging instruments.
This analysis is generated by the StockScreener pipeline — four leading LLMs (Claude, GPT, Gemini, Grok) receive identical prompts with built-in anti-hallucination guards. Read methodology →
Fast-moving startup Kalshi just gave Wall Street another reason to eye prediction markets.
The federally regulated platform that lets users bet on the outcome of almost everything recently said its crypto derivatives product crossed $1 billion in notional volume less than a week after launch.
The milestone comes as Kalshi and rival Polymarket are actively making moves to cater to Wall Street customers. They're pitching that they are growing into a broader platform for finance where businesses, investment funds, and everyday investors can hedge some of their risks.
The New York Knicks helped Kalshi put the business case on display last week. A Manhattan sports bar, The Jeffrey, offered customers a free bar tab of $100 each if the Knicks won game one of the NBA Finals. To hedge their risk, the bar also placed a bet on the Knicks winning on Kalshi.
The Knicks victory brought in a little under $13,000 to the sports bar, "just about covering the entirety of the discounts," owner Andrew Freedman told Yahoo Finance, calling the publicity stunt a "dream scenario all around."
Polymarket last week announced it had completed its first block trade aimed at helping a trading firm hedge exposure to GPU compute. Similarly, Kalshi notched its first block trade between a Texas hedge fund and market maker on carbon allowances in April.
Despite the speed of growth, prediction platforms are running into an age-old problem for big Wall Street institutions: The rules are still being written.
The Commodity Futures Trading Commission (CFTC) on Wednesday proposed new rules for prediction markets, laying out a framework for determining which events contracts can trade on federally regulated platforms and which can be blocked.
The proposal aims to draw sharper lines around how it will police contracts tied to unlawful activity, war, terrorism, and gaming. The agency is proposing a test over whether specific contracts pose market integrity risks and if a platform can effectively administer and monitor trading.
That matters because the case for institutions using prediction market platforms is "ramping" but "still in early innings," according to Julie Hoover, a Bank of America analyst.
"Given some of the headline risk that there's been on insider trading on prediction markets globally, I think institutions want clearer rulemaking and a better understanding of counterparty risk," said Hoover.
Over the last 10 months ending June 1, combined trading volume across Kalshi and Polymarket has climbed by $23 billion to $25 billion, according to data from The Block.
The CFTC formally recognized prediction market contracts as a version of derivatives trading in March.
At the same time, a wave of high-profile incidents has poured into public view. These include anonymous bettors using insider information to earn big payouts, including a Special Forces soldier who won a $400,000 payout using classified information around the US operation to capture Venezuelan President Nicolás Maduro. Insider trading incidents like this could significantly alter the profitability calculation for institutional traders.
House lawmakers have since opened an investigation into Kalshi and Polymarket, requesting information about how the firms defend against insider trading.
Ahead of the CFTC proposal notice, Kalshi announced new guardrails on Tuesday to make it easier for the platform to investigate suspicious activity. This includes launching enhanced features for whistleblowers and requiring customers to disclose their employers for certain bets. The platform said it made more than 20 suspicious activity referrals to law enforcement in the first three months of this year.
A Polymarket spokesperson said the platform "surveils and monitors for insider trading and other illegal activity, consistent with other markets" and has made nearly 100 law enforcement referrals to date.
Exchanges, brokers, trading firms, and even banks have all signaled interest in the emerging space.
Interactive Brokers, Robinhood, and Coinbase already offer access to prediction markets. Cboe and Nasdaq, too, are developing products around the prediction market concept — but in more familiar options-style structures. Charles Schwab is also targeting a prediction market rollout focusing on economic and financial events before 2027, Yahoo Finance has learned.
Even Goldman Sachs is actively looking for opportunities in the space, CEO David Solomon said earlier this year.
But there are plenty of other obstacles holding institutions back from these markets, according to BofA's Hoover. She named liquidity depth and clearer rules around collateral requirements as other key hurdles.
When asked for further clarification about his exchange’s prediction market opportunity, Cboe CEO Craig Donohue told an analyst in May, "I think that despite the explosive growth that we've seen in event and prediction markets, this is still extremely early stages."
David Hollerith is a senior reporter at Yahoo Finance covering the cryptocurrency and stock markets. Follow him on X at @DsHollers.
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Four leading AI models discuss this article
"Regulatory clarity and liquidity depth are the gating factors; without them, rising notional volume may not translate into sustainable institutional adoption or profits."
Prediction markets like Kalshi and Polymarket are drawing attention, but the real test is durable liquidity, robust risk controls, and a clear regulatory path. The CFTC's proposed rules could restrict contract types and raise compliance costs, slowing onboarding. Insider trading incidents spotlight governance and enforcement risk that could deter institutions. Even with rising notional volumes, monetization depends on deep liquidity and favorable collateral terms, which banks say are missing. The runway looks long, and a misstep could trigger regulatory backlash or capital flight, undermining the hype and delaying real institutional adoption.
If the rules streamline and liquidity pools widen, institutions could finally start pricing and hedging probability risks at scale, turning the current hype into durable revenue streams; the negatives may be overstated.
"Prediction markets will only achieve institutional adoption if they evolve from decentralized betting pools into regulated, high-liquidity derivatives exchanges with rigorous anti-insider trading enforcement."
The institutional pivot toward prediction markets is less about 'betting' and more about the commoditization of binary risk. While the article highlights retail-friendly stunts like the Knicks promotion, the real alpha lies in the transition of event contracts into legitimate hedging instruments for macro desks. If the CFTC provides a clear regulatory perimeter, we are looking at a new asset class that competes directly with traditional options and futures for event-driven volatility. However, the 'insider trading' narrative is a structural headwind; institutional capital is allergic to reputational risk and opaque counterparty provenance. Until these platforms implement KYC/AML standards equivalent to a Tier-1 prime broker, they remain sandbox experiments rather than institutional infrastructure.
The 'hedging' use case is largely a marketing narrative; in reality, these markets lack the liquidity depth to absorb institutional-sized flow without catastrophic slippage, rendering them toys for speculators rather than tools for risk management.
"Prediction markets are being sold as a solved problem when they're actually a regulatory and information-security experiment that could collapse if insider trading becomes systemic rather than anecdotal."
The article conflates regulatory approval with market viability. Yes, $25B in combined volume is real, but that's still microscopically small relative to traditional derivatives ($1.3 quadrillion notional annually). The CFTC proposal is a *framework*, not a green light—it explicitly reserves the right to block contracts. More critically: insider trading incidents aren't a PR problem to be solved with compliance theater; they're a structural flaw. If prediction markets can be systematically exploited by people with information asymmetries (classified ops, earnings pre-release), institutions won't use them for hedging—they'll get front-run. The $13K Knicks bar tab and GPU hedge anecdotes are marketing, not evidence of institutional adoption at scale.
Prediction markets could follow the path of options markets post-1973: initially niche, heavily regulated, then eventually mainstream as infrastructure matured. If Kalshi/Polymarket survive regulatory scrutiny and insider trading becomes genuinely policed, institutional volume could accelerate faster than historical derivatives adoption.
"Insider-trading enforcement risk and narrow CFTC event-contract rules will cap institutional volumes far below current hype through at least 2026."
Kalshi and Polymarket volumes hit $25B, with block trades in GPUs and carbon and nods from Goldman, Cboe, and Schwab, yet CFTC's proposed event-contract tests plus House probes into insider trading create real barriers. Liquidity, collateral rules, and platforms' limited ability to screen classified or employer-linked bets remain unaddressed. The $13k Knicks hedge is tiny relative to institutional size and does not prove scalable risk-transfer. Self-reported referrals (20-100) signal ongoing enforcement exposure rather than solved integrity.
Formal CFTC recognition in March plus new whistleblower tools could accelerate compliant block trading faster than the article implies, turning early regulatory friction into a moat for regulated players.
"The real upside hinges on counterparty risk and capital treatment, not just regulatory clarity; without robust risk controls, event-driven hedges won’t scale."
Responding to Gemini: I agree the core upside is event-driven hedging, but the real bottleneck isn't the lack of regulatory clarity—it’s counterparty risk and capital treatment. If insider advantages persist and KYC/AML aren’t robust, banks will demand heftier risk-weighted assets and stricter margining, choking liquidity. Even with clearer rules, the expected hedges may fail under tail events, making firms revert to traditional options rather than event contracts.
"Prediction markets will thrive as institutional information-arbitrage tools rather than as standard hedging instruments."
Claude is right about the structural flaw, but misses the secondary effect: the 'insider trading' isn't just a bug, it's the product. These markets function as high-fidelity signal aggregators for private information that traditional markets fail to capture. Institutional adoption won't come from 'hedging'—it will come from proprietary trading desks using these platforms to front-run the very news events that the CFTC is trying to sanitize. The regulatory friction is actually a feature that keeps the 'smart money' alpha intact.
"Prediction markets can't simultaneously be insider-trading havens and institutional infrastructure—regulatory scrutiny will force a choice, and institutions will choose the latter or exit entirely."
Gemini's framing—that insider trading is the *product*, not a bug—inverts the institutional adoption thesis entirely. If macro desks are buying access to front-run classified ops or earnings leaks, we're not describing a hedging market; we're describing a regulatory time bomb. The CFTC doesn't sanitize alpha; it prosecutes it. Institutions won't touch platforms where the edge is prosecutable information asymmetry. This conflates what *might* happen with what institutions will *admit to funding*.
"Insider trading as alpha invites DOJ criminal liability that accelerates institutional exit."
Gemini overlooks how the House probes and 20-100 self-reported referrals already flag DOJ escalation risk beyond CFTC rules. If classified or earnings leaks become court evidence, platforms face criminal exposure that no prop desk can openly fund or admit to, converting the touted alpha into an immediate shutdown catalyst rather than a moat. This compounds the liquidity and collateral barriers already cited.
Despite significant volumes, prediction markets face substantial hurdles, including counterparty risk, regulatory uncertainty, and insider trading concerns, which may deter institutional adoption and trigger regulatory backlash.
The commoditization of binary risk and the potential for event contracts to compete with traditional options and futures as hedging instruments.
Insider trading incidents and the potential for systematic exploitation by those with information asymmetries, which could lead to regulatory prosecution and platform shutdown.