What bubble? Asset managers in risk-on mode stick with stocks

In Bloomberg interviews with 39 asset managers across the US, Asia and Europe, more than three-quarters said they are positioned risk-on through 2026—overweight equities and credit—citing resilient global growth, AI-driven gains and anticipated easier monetary and fiscal policy. Managers expect broadening earnings momentum across regions (including Japan, Taiwan, South Korea and India) and see potential for a fourth straight banner year for the MSCI All-Country World Index after a run that added roughly $42 trillion in market value since end-2022. Key downside risks flagged include a US inflation rebound that could derail Fed easing, trade-policy shocks (tariffs) under the US presidency and sector-specific structural headwinds such as European autos.

Analysis

Market structure: The consensus “risk‑on” flow favors US mega‑caps (AI incumbents) and emerging markets — especially India, Taiwan, Korea and Japan — driving higher equity valuations and a steeper demand curve for semiconductors, cloud power and data‑center power infrastructure. Losers include European autos (margin squeeze vs Chinese entrants) and unloved energy names absent a geopolitical oil shock. Expect tighter pricing power for cloud/AI infra vendors and widening credit spreads compression for high‑quality corporates if rates drift lower by 50–75bp into 2026.

Risk assessment: Key tail risks are a US inflation rebound (core CPI >3.6% YoY or monthly prints >0.4%) forcing Fed hawkish pivot, renewed tariffs under adverse trade policy, or a Middle East/Ukraine supply shock pushing Brent >$110/bbl — each could erase 15–30% of consensus equity gains. Near term (days–weeks) volatility will be driven by macro prints and Fed chatter; medium term (3–9 months) by earnings breadth and fiscal stimulus execution; long term (12–24 months) by AI monetization and productivity gains.

Trade implications: Tactical overweight to EM (India via INDA) and US small caps (IWM) with selective, capped exposure to AI leaders (NVDA/MSFT) through defined‑risk option structures. Implement protective hedges sized 1–2% of AUM (SPY/put spreads) and avoid long European autos (short STLA or auto suppliers). Rotate modestly into healthcare (XLV) as a value catch‑up if small‑cap outperformance persists.

Contrarian view: Consensus underestimates concentration risk — a narrow leadership (top 5–10 tech names) makes the market fragile to drawdowns if AI monetization disappoints or policy tightens; health care and select energy names are underowned and could outperform on a policy or inflation surprise. Historical parallel: 1999–2001 tech concentration ended badly when rates rose; cap exposures should be position‑sized with strict drawdown stop limits.

Key Decisions for Investors

• Establish a 2–3% long position in India via INDA (iShares MSCI India ETF) with a 12–18 month horizon, scale in over 4–6 weeks; take profits if INDA outperforms MSCI ACWI by >10% in 60 days.
• Allocate 1–2% of portfolio to AI leaders via defined‑risk 6–12 month call spreads on NVDA (buy 1:1 6–12 month 1.5x OTM call spread) to capture upside while capping premium outlay.
• Implement a relative trade: long IWM (3% active overweight) vs short STLA (1% notional short) with 3–9 month horizon — rationale: small‑cap cyclical earnings leverage vs European autos structural pressure.
• Buy protective downside: allocate 1–2% of AUM to 3–6 month SPY put spreads (buy 1–3% OTM, sell 5–7% OTM) and reduce equity risk by 50% if core CPI prints >3.6% YoY or 10‑yr yield jumps >50bp in 30 days.
• Reduce energy exposure: underweight XLE by 2–3% now; only re‑enter if Brent crude sustains >$100/bbl for 30 consecutive days or a major supply outage occurs.