Research NoteDESK/MACRO_&_RATES_DESK

Macro & Rates Desk Research Note: Stability Prevails Amid Political and Monetary Policy Crosscurrents

Kalshi markets price a stable macro core but significant political event risk, with high-stakes bets on Trump's presidency and Fed leadership driving volume.

SimpleFunctions Research
SF/RESEARCH

Key Takeaways

  • The 50% probability of 'Trump out this year' is the dominant market signal, indicating unprecedented priced political risk for an incumbent president.
  • Monetary policy is priced for remarkable stability: Powell is seen as secure (1% exit risk), and aggressive rate cuts are unlikely (6% for two cuts).
  • The 38% probability of a Kevin Hassett Fed nomination is a key derivative bet, heavily pricing in a Trump electoral victory and a politicized Fed chair selection in 2026.
  • Macro tail risks (recession, Bitcoin >$150K) are viewed as remote (1%), creating a stable base against which political volatility stands out.
  • Optimal trade structures involve harvesting premium from low-probability macro tails to hedge or speculate on high-volatility political outcomes.

Executive Summary

The aggregated market data from Kalshi reveals a fascinating divergence: core macroeconomic and financial stability indicators are priced with high confidence, while political and institutional stability are seen as remarkably fluid. The standout signal is the 50% probability assigned to 'Donald Trump out this year,' indicating a market that views the continuation of the current presidency as a coin toss. This profound political risk overshadows other markets, where probabilities for significant Fed rate cuts (6%), a 2025 recession (1%), or a dramatic Bitcoin surge (1% for $150K+) are priced as tail events. Volume concentration underscores trader focus on binary, high-impact political outcomes over incremental economic shifts. The stability priced into monetary policy (low Powell exit probability, muted rate cut expectations) suggests the market views the Fed as a steady hand, potentially even under a future Trump administration, as evidenced by the 38% probability for a Kevin Hassett nomination. The trading implication is a market ripe for volatility on political headlines, while positioned for continuity in macroeconomic fundamentals.

Core Analysis: Political Stability as the Dominant Risk Factor

The market 'Donald Trump out this year?' (50.0%, $9.8M volume) is the center of gravity in this dataset. A 50% probability is exceptionally high for an incumbent president exiting office within a year, far exceeding historical base rates. This pricing implies the market perceives multiple, plausible paths to a vacancy: resignation, removal via constitutional mechanisms, or health-related incapacity.

  • Historical Context & Implied Volatility: Modern presidencies have seen far lower intra-term exit risk. This probability is more akin to odds assigned during periods of acute constitutional crisis (e.g., Nixon in mid-1974) than to normal political cycles. The sheer volume ($9.8M) indicates substantial capital is willing to underwrite this risk, treating it as a non-negligible core holding rather than a speculative fringe bet.
  • Actionable Insight: Traders should monitor this market as a leading political volatility gauge. A sustained move above 55-60% would signal escalating, market-perceived crisis conditions, likely correlating with risk-off moves in traditional assets. A decline below 40% would indicate a re-normalization of political risk. This market is a direct hedge against or bet on systemic political disruption.
  • Correlated Risks: The 1% probability for 'Department of Education elimination before Jan 1, 2026' is a derivative of this core political bet. A 'Yes' resolution on Trump exiting would likely collapse this probability to near-zero, as any successor is unlikely to pursue such an agenda. Conversely, if Trump remains, this probability could drift higher, though its current 1% level suggests the market sees legislative execution of this priority as a long shot even under a continued Trump administration.

Monetary Policy: A Pillar of Priced Stability

Markets surrounding the Federal Reserve paint a picture of institutional continuity and policy stasis, creating a stark contrast with the political landscape.

  • Fed Leadership: 'Powell leaves before 2026?' at 1.0% ($6.4M volume) shows near-total confidence in Chair Powell serving his full term ending May 2026. This is consistent with norms of Fed independence. More intriguing is 'Will Trump next nominate Kevin Hassett as Fed Chair?' at 38.0% ($5.0M volume). This market pertains to the next nomination cycle (post-Powell's term, before Jan 2029). The 38% probability is substantial, indicating that while Powell's tenure is seen as secure, his successor is very much in question. A Hassett probability of 38% suggests the market assigns a high likelihood to a Trump election victory in November 2024, followed by a nomination of the former Council of Economic Advisers chair, who is perceived as more amenable to presidential influence than traditional Fed picks.
  • Rate Path: 'Will the Fed cut rates 2 times?' (6.0%, 50 bps total) is critically informative. This low probability reveals that the market sees the Fed on hold for the foreseeable future. It aligns with recent Fed communications and resilient economic data. The pricing essentially rules out an aggressive easing cycle in response to a recession (priced at 1% for 2025) and suggests only reactive cuts to a sharp downturn would materialize.
  • Actionable Insight: The Fed complex offers convexity. The low probabilities on Powell exit and multiple cuts present expensive, low-yield hedge options. The higher-probability Hassett market is a cleaner, longer-dated bet on the political composition of the Fed in 2026-2029. For macro traders, the message is that rate volatility is expected to be driven by exogenous shocks (potentially political) rather than a central bank pivot.

Macroeconomic & Asset Class Implications

The near-dismissive pricing of recession (1%) and extreme Bitcoin rallies (1% for $130K+ and $150K+) reveals a market narrative of 'muddling through.'

  • Recession Risk Dismissed: A 1% probability is a definitive statement. It suggests traders believe the economy is resilient enough to withstand current tight monetary policy and any near-term political volatility. This is the foundation for the low rate-cut expectations.
  • Bitcoin's Ceiling: The 1% probabilities for Bitcoin reaching $130,000 or $150,000 in 2024 indicate that the market sees the current rally as mature. This pricing does not preclude moderate gains but assigns a very low likelihood to a near-term parabolic, macro-driven surge. It implies that for Bitcoin to hit these levels, a new, unpriced catalyst (e.g., dramatic escalation in fiscal dominance, a breakdown in traditional finance) would be required.
  • Actionable Insight: These are classic 'tail risk' markets. Selling these low-probability outcomes (i.e., taking the 'No' position) generates premium but leaves traders exposed to catastrophic, regime-changing events. A prudent strategy might be to use the premium earned from selling these extreme outcomes to fund long-volatility positions in the political stability markets, where perceived risk is materially higher.

Anomaly & Sentiment Gauge: Sports Markets as Liquidity Proxies

The inclusion of high-volume NFL championship markets (Philadelphia 10%, LA 14%, $5.6M and $4.2M volume) is noteworthy. While outside our macro mandate, their volume rivals core policy markets. This suggests they act as major liquidity pools and sentiment gauges for the platform. The probabilities align roughly with pre-season odds for top contenders, indicating prediction market efficiency. For our purposes, they highlight that the high volumes in political markets are not platform-wide anomalies but reflect focused, targeted capital allocation toward specific high-stakes risks.

Catalysts and Risk Factors

Key Catalysts:

  1. Political Events: Supreme Court rulings on immunity/indictments, election campaign developments, health disclosures, or congressional actions. Any event that directly alters the perceived viability of Trump's presidency will cause immediate repricing in the 50% market.
  2. Fed Communication: Any shift in the dot plot toward more cuts could raise the '2 cuts' probability from 6%, but a major repricing requires deteriorating hard data.
  3. Economic Data: A sudden weakening in labor markets or consumer spending could simultaneously increase recession and rate-cut probabilities from their 1% and 6% bases, though from a very low starting point.

Asymmetric Risks:

  • To the Upside (Stability): Political volatility subsides post-election, Trump's tenure is normalized, and the 50% probability crashes. This could trigger a relief rally in traditional assets, all else equal.
  • To the Downside (Instability): A triggering event for the 'Trump out' market leads to a rapid spike toward 80-90%. This would likely create a ' constitutional crisis' risk-off shock, surpassing typical election volatility. The low probabilities on recession and Bitcoin surges could then violently repurchase if the event is seen as macro-disruptive.

Trade Structuring Recommendations

  1. Direct Political Risk Allocation: For clients seeking exposure, the 'Trump out' market is the purest instrument. Given the 50% baseline, it is efficiently priced for near-term binary events. A long 'Yes' position acts as a hedge against political crisis; a long 'No' position is a bet on stability.
  2. Monetary Policy Curve Trades: The disparity between stable leadership (1% Powell exit) and uncertain future composition (38% Hassett) suggests a curve trade: hedge near-term Fed volatility via the Powell market (expensive) to finance a position in the Hassett market, which offers exposure to the 2024 election and its long-term policy implications.
  3. Tail Risk Packages: Consider selling deep-out-of-the-macro-tail (e.g., 'No' on $150K Bitcoin, 'No' on 2025 recession) to harvest premium, and use a portion of that premium to buy cheap convexity in the political volatility complex. This structures a position that benefits from continued macro stability while protecting against a low-probability, high-impact political shock.
  4. Cross-Asset Hedging: A portfolio with significant long equity exposure could consider the 'Trump out' market as a non-correlated hedge, as political shock-driven selloffs may not be immediately mirrored in other volatility indices.

Conclusion

The prediction markets present a tale of two realities. The macroeconomic and monetary policy outlook is priced for stability: low recession risk, a steady Fed, and contained crypto exuberance. Superimposed on this calm landscape is a towering wave of political event risk, crystallized in the 50% probability of a presidential exit. This divergence creates a unique environment. Trading the macro markets offers low expected returns due to efficient pricing of consensus stability. The political markets, however, offer high implied volatility and significant informational edge opportunities for those analyzing legal, political, and health-related developments. The dominant trade structuring imperative is to use the richly priced stability in the macro complex to fund exposure to the underpriced (or more accurately, highly uncertain) volatility in the political sphere. The next major repricing event for this entire complex will almost certainly originate from the political, not the economic, domain.

Market Analysis

Donald Trump out this year? 📈

Current Probability: 50.0%

Central risk indicator. Efficiently priced at coin toss, implying high uncertainty. Primary source of systemic volatility.

Fed Policy Complex (Powell exit, Hassett nom, Rate Cuts) ➡️

Current Probability: 6.0%

Collectively signals Fed policy stability in near-term (Powell secure, cuts unlikely) but high uncertainty over post-2026 leadership linked to election.

Macro Tails (Recession, Bitcoin >$130K) 📉

Current Probability: 1.0%

Priced as extreme tail events. Selling these 'No' positions is a carry trade that assumes continuation of current stable regime.