BofA warns: underestimating FOMO-driven equity upside risk is at your own risk
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BofA warns: underestimating FOMO-driven equity upside risk is at your own risk
The report argues that while inflation, long-end rates, and UK political risk are all rising, FOMO during the bubble-formation phase may outweigh macro pressure, making options asymmetry more valuable.
- U.S. equities are near record highs, equity volatility is subdued, and call skew is flattening, indicating that the market is still pricing upside risk.
- GFSI edged up from -0.13 on May 8, 2026, to -0.11 on May 15; commodities and rates volatility were the main sources of pressure.
- BofA BRI shows rising bubble risk in global equities, with Kospi, Nikkei, and U.S. tech-related assets as key contributors.
- The report favors TLT put spreads to hedge further upside in long-end yields, while using QQQ/NDX-related structures to participate in the tech right tail.
- Chinese AI hardware is increasing the IT weight in the FTSE China A50; the report recommends a 3-month 105%-115% call spread on XIN9I, with maximum return of about 7.1x.
Report interpretation
Overview
This is a BofA global equity volatility research note focused on the conflict between rising macro risks and FOMO in the equity market. The report notes that inflation concerns, rising long-end yields, and UK political uncertainty have already capped the pace of the U.S. equity rally, but during the bubble-formation phase, investors' fear of missing out may continue to support equities and the technology sector.
Core views
The report's core view is: first, macro risks have not disappeared, especially long-end rates, commodity volatility, and UK political risk; second, the equity market still shows strong resilience, and relatively flat call skew indicates that right-tail upside is still being valued; third, in an environment where both left-tail and right-tail risks coexist, options structures are more attractive than simple directional positions; fourth, Chinese AI hardware and U.S. technology remain important vehicles for the FOMO trade.
Analysis framework
The report combines BofA's GFSI cross-asset stress indicator, the BRI bubble-risk indicator, option-implied volatility and skew, correlation pricing, index constituent changes, and cross-asset political-risk scenarios to form a macro risk view and specific options trade expressions.
Methodology notes
Uses cross-asset volatility, spreads, and fund flows subcomponents to gauge market stress.
The report shows GFSI at -0.11 on May 15, 2026, at the 33rd percentile since 2000, slightly higher than the prior week.
A price-based 0-to-1 bubble-risk reading that combines returns, volatility, momentum, and fragility.
1 represents extreme bubble-like price behavior, while 0 represents no bubble-like price behavior; the report says global equity BRI is rising, with tech and semiconductor-related themes standing out.
Express asymmetric risk-reward through put spreads, call spreads, dual digitals, and cross-asset contingent calls.
The report emphasizes that when macro left-tail risk and FOMO right-tail risk coexist, options structures can cap losses while preserving scenario upside.
Asset mapping & comparison
Structured mapping from thesis to named assets (strengths, weaknesses, peers, risks).
- TLTLong-end U.S. Treasury weakness hedge
- Strengths
- The TLT put spread offers limited-risk protection if yields continue to rise, and the report says the payoff multiple sits in an historically attractive range.
- Weaknesses
- If long-end yields fall back or bond prices stabilize, the structure may lose the premium paid.
- Comparison
- Compared with shorting bonds directly, the put spread has a clearer loss cap.
- Risks
- The main risk is loss of the premium paid.
- QQQ/NDXU.S. tech and AI upside expression
- Strengths
- FOMO, tech earnings, and potential large-cap tech IPOs may continue to support right-tail upside.
- Weaknesses
- NDX implied volatility is relatively high, making outright option buying expensive.
- Comparison
- The report prefers call spreads or NDX-GBPUSD contingent structures to lower cost.
- Risks
- If tech stocks pull back or the correlation assumption fails, the structure's gains are limited or the premium is lost.
- FTSE China A50 / XIN9IChina AI hardware exposure
- Strengths
- IT weighting has risen rapidly, AI hardware companies have become an important driver of the index, and A50 volatility remains below many Asia AI-related assets.
- Weaknesses
- The index does not include Hong Kong-listed AI software giants such as Tencent and Alibaba, so the exposure is more hardware-focused.
- Comparison
- Compared with KWEB and Hang Seng Tech, the FTSE China A50 is more geared toward mainland China AI hardware and semiconductor chains.
- Risks
- If AI hardware trades become crowded or pull back, the call spread may lose the premium paid.
- SX7E/SX7PPolitical-risk expression for eurozone banks versus UK banks
- Strengths
- UK banks are more sensitive to domestic political, tax, and fiscal risks, so SX7E relative to SX7P may benefit.
- Weaknesses
- If UK political risk eases or UK banks outperform, the relative-value structure may perform poorly.
- Comparison
- The report says the SX7E/SX7P volatility ratio is at a low level, making a bullish SX7E structure cheaper.
- Risks
- The call switch may lose money if the short leg performs better than the long leg.
- GBP/USD and EUR/GBPFX expression of UK political and fiscal risk
- Strengths
- Sterling is usually a barometer of UK political and fiscal instability, and a weaker GBP can help reduce the cost of some equity upside structures.
- Weaknesses
- If sterling rebounds or correlation pricing normalizes, the contingent structure may not trigger.
- Comparison
- Compared with simply going long European or U.S. equities, combining equity upside with a weaker pound can improve scenario payoff multiples or reduce option cost.
- Risks
- The FX-equity linkage assumption may fail.
Key data
- GFSI latest reading-0.11On May 15, 2026, slightly up from -0.13 on May 8, 2026.
- GFSI historical percentile33rd percentileBased on the historical sample since 2000.
- GFSI risk allocator7.3% overweightDown from 14.6% overweight the prior week; Bullish, Bearish, and Neutral shares were 22.0%, 14.6%, and 63.4%, respectively.
- U.S. 30-year yield>5.1%Long-end yields rose after hot CPI/PPI prints and UK fiscal-political disruptions.
- NVDA earnings implied volatilityabout 5.7%The report sees it as a potential catalyst for continued upside asymmetry.
- TLT put spread7.8x maximum returnBuy TLT Jun 82-78 put spread, indicative price 51c, reference price 83.65.
- XIN9I call spread7.1x maximum returnBuy a 3-month 105%-115% call spread, cost 1.40%, with loss limited to premium paid.
- FTSE China A50 IT weightingabout 25.3%About 7.7% a year ago, approaching and possibly exceeding the financials sector's roughly 26.9%.
- China A50 recent rally contribution96% from the top five IT namesIncluding Zhongji Innolight, Cambricon, Hygon, Eoptolink, and Foxconn.
- SX5E/EURGBP dual digital13x maximum returnUsed to express a UK-specific risk scenario in which European equities rise while EUR/GBP rises.
Impact & implications
The implication for investors is that one should not underestimate the stock-market upside tail risk simply because macro pressure is rising; a more suitable approach is to use options structures to simultaneously cover deteriorating long-end rates, UK political risk, U.S. tech FOMO, and China AI hardware exposure while controlling premium loss.
Risks
- Further increases in inflation and long-end yields could pressure risk asset valuations.
- UK political uncertainty could push up gilt yields, macro volatility, and weigh on sterling.
- If AI and tech-related assets experience a crowded-trade reversal, the right-tail option structures could lose the premium paid.
- Options structures have expiry constraints; if the scenario occurs after expiration, the strategy may not profit.
- Contingent calls and dual digitals depend on cross-asset correlation and trigger conditions, and actual results may differ from pricing assumptions.
- The trades listed in the report are not suitable for all investors and may involve significant risk.
What to watch
- U.S. inflation data, long-end Treasury yields, and the 30-year yield trend.
- VIX, equity call/put skew, and changes in TLT put skew.
- NVDA earnings and progress in large U.S. tech IPOs.
- Changes in high-bubble-risk assets such as tech, semiconductors, Nikkei, and Kospi within BofA BRI.
- UK leadership uncertainty, fiscal-policy messaging, gilt yields, and GBP/USD trends.
- IT weighting in the FTSE China A50, performance of AI hardware leaders, and XIN9I volatility.