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Kalshi prediction markets beat bank consensus on inflation

Friday, April 3, 2026 · from 2 podcasts
FYI — For Your Innovation…Forward Guidance
  • A Fed paper found Kalshi’s inflation market pricing regularly outperforms traditional bank analyst consensus.
  • Large funds are adopting event contracts to hedge specific, previously uninsurable operational and political risks.
  • Structural disinflation from AI and demographics could keep rates low, making accurate forecasts more valuable.

The experts are losing their edge to the crowd. Federal Reserve research has confirmed that prediction market platform Kalshi provides more accurate inflation forecasts than the economists at major banks. On FYI, Nicole Kagan explained that the platform offers a full distribution of outcomes, creating a confidence interval that traditional single-number snapshots miss. This real-time pricing of uncertainty around rate decisions gives a clearer pulse on market structure than noisy stock prices.

This data challenges the institutional forecasting dominance that has guided monetary policy and investment for decades. The validation is not from a startup but from the Fed itself, which three months later peer-reviewed and supported Kalshi Research’s own paper claiming superior CPI prediction. Kagan, a former Bridgewater macro investor, noted the platform attracted roughly $200 million in liquidity just for markets on "the next year of the Fed."

Institutional adoption is now accelerating because these contracts allow firms to isolate specific risks. A stock can drop on broad market swings even if a company hits its targets; an event contract pays out strictly on the verified outcome. Large funds are using them to hedge against risks like government shutdowns, moving the platform from a speculative novelty to a critical business tool.

Nicole Kagan, FYI:

- Researchers at the Fed found that Kalshi estimates in terms of market pricing outperform consensus, which is a really big deal.

- Understanding the confidence with which people are approaching the next Fed decision gives you a confidence interval that provides more context.

Meanwhile, on Forward Guidance, Fed Governor Miran argued that the structural backdrop favors lower inflation and rates long-term, which would make precise forecasting even more critical. He pointed to AI and deregulation as persistent disinflationary drags, and to stablecoin demand creating a capital inflow that could act as a powerful force weighing on interest rates. If the future is one of subdued inflationary pressure, the penalty for misreading short-term spikes becomes higher.

The rise of prediction markets points to a broader shift: the financialization of uncertainty. From cultural trends to political outcomes, businesses can now treat a wider array of events as measurable, hedgeable risks. As Kagan put it, this could spawn an entirely new version of the insurance industry. When the crowd consistently sees what the experts miss, the tools for listening to it become indispensable.

MarketsRegulationMacro

By the Numbers

  • three monthstime between Kalshi and Fed paper releasemetric
  • $200 millionliquidity in 'next year of the Fed' marketmetric
  • 0.3%Annual disinflationary drag from deregulation (Fed study)metric
  • 0.5%Annual disinflationary drag from deregulation (Moran's estimate)metric
  • 2.5% to 2.75%Estimated neutral policy rate (Moran)metric
  • $450 billionAnnualized decline in fiscal deficit (Moran estimate)metric

Entities Mentioned

CFTCCompany
KalshiCompany
MASTConcept

Source Intelligence

What each podcast actually said

FYI — For Your Innovation (ARK Invest)
FYI — For Your Innovation (ARK Invest)

Kalshi Beats Consensus | The Brainstorm EP 125 • Apr 1

  • Nicole Kagan, Head of Research at Kalshi, also works on the markets team, responsible for rules writing and CFTC certification for the prediction market platform.
  • Kagan's background as a macro investor at Bridgewater Associates, focusing on emerging market policy, highlighted the need for direct event contracts to hedge specific risks like election outcomes.
  • A Federal Reserve paper titled 'Kalshi and the Rise of Macromarkets' found that Kalshi's market pricing for events like inflation outperforms consensus estimates.
  • The Fed paper also recognized the value of understanding the distribution of predictions on Kalshi, providing confidence intervals for events like Fed rate decisions, beyond a single price point.
  • Kalshi Research's paper 'Beyond Consensus,' which claimed better CPI prediction than consensus, was independently peer-reviewed and validated by the Federal Reserve three months later.
  • Nicole Kagan believes the total addressable market for prediction markets is enormous, potentially exceeding traditional financial assets by allowing direct hedging of any event-related risk.
  • Prediction markets can provide parametric insurance for risks like hurricanes or serve as a tool for FEMA to understand emergency response needs through market pricing.
  • Liquidity is the primary factor for effective prediction markets, leading to robust price discovery and requiring relatively low capital and participant numbers for good calibration.
  • Institutional adoption is seen as a powerful force for mainstreaming prediction markets, even though it tends to be slow-moving.
  • Access to margin and leverage is crucial for institutional investors, particularly for long-dated markets like future elections, enabling capital efficiency without full collateralization.
  • Kalshi, as a CFTC-regulated exchange, has robust insider trading prohibitions, preventing individuals with material non-public information from trading (e.g., politicians on their campaigns).
  • Kalshi's rules are arguably more restrictive than those governing stock trading for public officials, and it uses KYC and surveillance tools to trace and prevent illegal activity.
  • Prediction markets offer unique hedging utility in sports, allowing advertisers or sponsors to mitigate risks tied to team performance over a season or single game.
  • Culture markets on Kalshi, though sometimes dismissed, represent multi-billion dollar industries and capture social outcomes, such as the impact of TV shows on consumer trends.
  • One area of research involves using prediction markets to evaluate AI model reasoning by assessing how models would position themselves across correlated markets like inflation and Fed funds rates.
  • Prediction markets can facilitate granular analysis by decomposing political campaigns or news impact on prices, offering a less noisy environment than traditional stock markets.
  • New industries, particularly within insurance, are expected to emerge from prediction markets, offering parametric insurance that currently existing companies like Arrive use to hedge risks such as government shutdowns.
  • The market for 'the next year of the Fed' attracted approximately $200 million in liquidity on Kalshi, demonstrating significant interest in macroeconomic staples.
MacroMarketsFedRegulation
Forward Guidance
Forward Guidance

Fed Governor Miran on Why Inflation Fears Are Overstated • Apr 1

  • Fed Governor Moran argues high measured inflation is overstated due to quirks like portfolio management services biasing metrics by 30-40 basis points.
  • The labor market has been on a very gradual cooling trend for about three years, with increasing job search difficulty and unemployment duration.
  • Forward inflation expectations a year, two, and three years out are largely unaffected by recent oil price moves and are lower since the January FOMC meeting.
  • Deregulation acts as a persistent positive supply shock by easing production constraints and increasing competition.
  • Moran cites a Fed staff paper by Cascaldi-Garcia and Iacoviello estimating deregulation will create a 0.3% annual drag on inflation for two years.
  • Moran's own calculation found the deregulatory wave could drag on inflation by about 0.5% a year for the next few years.
  • Moran sees the current policy stance as modestly restrictive and holding the economy back, inconsistent with the macroeconomic backdrop.
  • He views the neutral policy rate as roughly 2.5% to 2.75%, with the current rate about a percentage point above that level.
  • Massive swings in population growth, from a spike to near-flat working-age growth, are a powerful force weighing on the neutral interest rate.
  • Moran notes the U.S. fiscal deficit improved significantly, with a roughly $450 billion annualized decline he attributes largely to tariffs.
  • A key monetary policy channel for supply-side shocks is the output gap - the difference between potential GDP and actual GDP.
  • Deregulation likely expands potential GDP much more than actual GDP because it utilizes existing capital more without driving new investment demand.
  • AI's impact on the output gap is unclear as it creates significant domestic investment demand (e.g., data centers) while also boosting productive capacity.
  • Moran believes Skinny Master Accounts for stablecoin issuers are an important step toward allowing financial innovation to occur.
  • Large global inflows into dollar-denominated stablecoins could significantly weigh on the neutral interest rate, akin to a smaller version of the early 2000s 'global savings glut.'

Also from this episode:

Fed (2)
  • Moran dissented in favor of a 25 basis point rate cut, believing the labor market's gradual weakening justifies additional monetary support.
  • Moran says central banks should look through oil price shocks as their inflationary impact is front-loaded and doesn't affect the economy 12-18 months out.
Labor (1)
  • Moran sees no evidence of a wage-price spiral forming due to the cooling labor market and declining wage pressures.
AI & Tech (2)
  • AI is a positive supply shock that increases productive capacity, letting people produce more with fewer inputs.
  • AI's productivity boost unambiguously pushes the neutral rate higher, but other factors like demographic changes are weighing on it.
Stablecoins (1)
  • Moran's primary thesis is that stablecoins' major growth will come from large pools of global savings currently blocked by capital controls or lacking banking access.
FedMacroRegulationStablecoins

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