J.P. Morgan: AI Sector Enters Consolidation; Use Derivatives to Respond

Overview

This report focuses on APAC equity derivative strategies, core judgment being that the recent pullback in the AI sector stems more from technical reset after crowded positions rather than fundamental deterioration, hence expecting the market to enter consolidation rather than deep correction. Based on this, the report proposes three main lines: first, utilizing the current high implied volatility of AI-related indices through Knock-Out Options (KO), spreads, and cross-asset hybrid structures to efficiently express directional views or hedge; second, positioning for rotation opportunities within the AI theme, including increasing allocation to low-correlation China AI assets, going long TOPIX relative to NKY catch-up, and selling volatility for specific AI bottleneck stocks; third, highlighting that due to weak demand for structured products and expensive valuations, the HK derivative market is temporarily unsuitable for new volatility discrete trading.

Core views

Skew normalization confirms consolidation pattern. Weighted average 3-month Put-Call skew of MSCI ACWI top 200 constituents recently hit the lowest point since 2014, approx. 20% of index weight shows negative skew, driven mainly by AI stocks. Historical data shows when skew reaches extreme levels and begins normalizing, it often accompanies slowdown in future returns rather than a crash. Regression analysis indicates if skew rises approx. 0.8 volatility units over the next three months, the previously most crowded AI stocks may record negative returns; historically during similar periods, maximum drawdown for these stocks is usually controlled around 10%, characterized by profit taking and leadership rotation. Current earnings revisions for AI infrastructure, software, and semiconductor sectors remain robust, further supporting the 'consolidation not correction' judgment. Utilize high volatility of AI indices to construct efficient positions. NDX, KOSPI2, TWSE, NKY and other major AI index powerhouses' 3-month ATM implied volatility has risen to recent yearly highs (e.g., KOSPI2 reached 69%, above 98th percentile of 5-year history), making ordinary vanilla option costs too high. For downside protection, the report recommends Knock-Out Put options (KO Puts), Put spreads, and Collar structures, among which Asian index KO Put options save at least 60% premium compared to ordinary Put spreads. For bullish rebounds, given Asian index Call skew is relatively cheaper, KO Calls become a tool for low-cost re-gaining AI Beta. Additionally, constructing Hybrid Double Digital options using attractive implied correlation pricing between SPX/NDX and USDKRW, NKY and USDJPY can reduce premium expenditure while hedging downside risk for US or Japan equities. Position for rotation opportunities beyond AI bottleneck trading. To avoid over-concentration on few AI hardware leaders, the report suggests three rotation directions: First, increase China AI exposure via JPCHGENA index, whose correlation with TWSE, KOSPI2, NDX and other regional AI indices is lower, benefiting from domestic policy support and computing infrastructure capex; Second, construct TPX (TOPIX) outperformance structure relative to NKY (Nikkei 225), as TOPIX has broader AI application exposure and industry distribution, and is more favored by Bank of Japan rate hike expectations, conditional outperformance options save approx. 42% cost compared to ordinary structures; Third, target Samsung Electronics, SK Hynix, Kioxia Holdings and other AI bottleneck stocks that have corrected significantly from highs, utilize their still high (70v-90v) implied volatility to monetize volatility premium by selling Put options or Call spreads/Collars, improving risk-reward ratio on both sides. HK derivative market sentiment weak. May HK-linked structured product issuance volume ($6.3 billion) continued below redemption volume ($7.7 billion), Southbound capital turned net outflow approx. $0.45 billion, overseas investor interest in China stocks mostly event-driven rather than sustained allocation. Implied volatility spread between HSCEI constituents and index remains at historical highs, leading to discrete trading of long individual stock volatility, short index volatility lacking attractiveness. Vega curve analysis shows Tencent, Meituan, Alibaba and other large-cap stocks currently located on left side of peak Vega zone, market makers buying volatility on declines, selling on rallies hedging behavior may amplify short-term volatility.

Analysis framework

Report adopts 'Derivative Signal Inferred Spot Expectation + Structured Strategy Matching' analysis framework. Firstly, by monitoring individual stock option Skew historical extremes and normalization process, combined with regression analysis and historical drawdown statistics, judge current AI sector adjustment nature belongs to position clearing rather than fundamental turning point, thereby establishing 'Consolidation' baseline scenario. Secondly, after confirming high volatility environment, do not directly trade expensive vanilla options, instead systematically screen Knock-Out barriers, spreads, cross-asset correlations etc. structured factors, seeking expression tools with cost advantage (Cost Efficiency) relative to baseline view. Finally, through correlation matrix, industry exposure breakdown and Vega curve positioning, identify rotation targets with differentiated characteristics from traditional crowded trades (such as China AI, TOPIX), achieving transition from single momentum chasing to diversified risk-return allocation.

Methodology notes

• Quantitative/Factor/Portfolio Theory

  Option Skew (Skew) as Sentiment and Crowding Indicator

  Skew measures difference in implied volatility between OTM Puts and OTM Calls. When skew is extremely inverted (negative value), indicates market chase for upside far exceeds defense against downside, usually signal of crowded longs; skew normalization often signals momentum weakening or consolidation. Report uses this to judge AI stock short-term risk-reward ratio declining.

• Quantitative/Factor/Portfolio Theory

  Cost Efficiency of Knock-Out Options (Knock-Out Options)

  Knock-Out options come with barrier clauses, option expires worthless if underlying price touches barrier. This 'tail risk for premium' structure in high volatility environments can greatly reduce hedging or speculation costs. Report utilizes KO Puts/Calls in AI index high vol to replace ordinary options, saving 40%-85% premium.

• Industry/Industrial Analysis FrameworkSupply Chain Upstream/Midstream/Downstream Transmission

  AI Industry Chain Diffusion from Hardware Bottlenecks to Applications and Regions

  AI investment cycle typically concentrates first on computing hardware (bottleneck link), then diffuses to application layer and regions with local logic. Report suggests rotating from crowded hardware leaders to TOPIX with higher AI application exposure and policy-driven China AI infrastructure chain.

• Quantitative/Factor/Portfolio Theory

  Cross-Asset Implied Correlation Pricing Arbitrage

  Hybrid structures return depends on probability of two assets satisfying conditions simultaneously. When market implied correlation significantly deviates from historical realized correlation or fundamental logic (e.g. US stock vs KRW negative correlation undervalued), constructing Double Digital options obtains additional pricing discount.

• Quantitative/Factor/Portfolio Theory

  Structured Product Vega Curve and Market Maker Hedging Behavior

  Accumulator/Target Accumulator etc. structured products Vega sensitivity follows U-shaped distribution with spot price. When spot price is located on left side of peak Vega zone, market makers need to 'buy sell' volatility to hedge Gamma/Vega risk when falling rising, which endogenously amplifies market volatility. Report uses this to explain HK large-cap stocks recent volatility characteristics.

Asset mapping & comparison

Structured mapping from thesis to named assets (strengths, weaknesses, peers, risks).

• JPCHGENA Index (China AI Basket)

  Beneficiary Target: As diversification tool in global AI allocation, low correlation with other regional AI leaders

  Strengths

  Clear policy support, focuses on upstream infrastructure (semiconductors, optical modules), localized capex catalysis

  Comparison

  Lower correlation compared to TWSE/KOSPI2/NDX, driving factors more domestic

  Risks

  Geopolitical risks, domestic demand recovery lagging expectations

• TOPIX (Tokyo Stock Price Index)

  Beneficiary Target: Catch-up object during AI theme diffusion stage

  Strengths

  Higher AI application exposure than NKY, broader industry distribution, benefits from BOJ rate hike expectations

  Weaknesses

  Pure hardware AI exposure lower than NKY

  Comparison

  Compared to NKY, performance may be better in AI commercialization stage

  Risks

  Yen appreciation too fast suppressing exporter profits

• Samsung Electronics (005930.KS) / SK Hynix (000660.KS) / Kioxia (285A.T)

  Volatility Monetization Targets: AI bottleneck stocks retain high implied volatility after correction

  Strengths

  Solid core AI supply chain status, IV at 70v-90v high level provides safety cushion

  Weaknesses

  Already corrected 7%-15%+ from highs, short-term momentum damaged

  Comparison

  Compared to indices, individual stock volatility premium higher, suitable for seller strategy

  Risks

  Memory chip price cycle downturn, technology route changes

• AMEC (688012.SS) / NAURA (002371.SZ)

  Beneficiary Targets: Preferred upstream equipment in China AI basket

  Strengths

  CXMT/YMTC potential IPO catalysis, domestic substitution logic strengthening

  Comparison

  In China AI basket belong to upstream segment most directly benefited by policy

  Risks

  Semiconductor equipment export controls tighten

Key data

• MSCI ACWI Top200 Weighted 3M SkewLowest since 2014Approx. 20% index weight shows negative skew, driven mainly by AI stocks, recently starting to normalize
• AI Index 3M ATM Implied VolatilityNDX ~25%, KOSPI2 ~69%, TWSE ~36%, NKY ~31%Asian AI indexes are above 98th percentile of 5-year history, NDX at 78th percentile
• KO Put Hedging Cost Savings≥60%Premium savings of Asian index Knock-Out Put options compared to ordinary Put spreads
• HK Structured Product Net Issuance-$1.4 billionMay 2026 issuance 6.3 billion vs redemption 7.7 billion, continuous months net outflow
• Southbound Capital 5M Net Flow-$0.45 billionEnded previous inflow trend, mainly sold Alibaba, Tencent, Xiaomi and other tech leaders
• TPX vs NKY Outperformance Option Cost Savings~42%Savings magnitude of conditional TOPIX outperform Nikkei 225 options compared to ordinary outperformance options

Impact & implications

For investors holding AI long positions, report believes no panic selling needed, but should guard against short-term return slowing and leader switching risks, recommend converting single stock hedging to more cost-effective index-level hedging (e.g. KO Puts). For investors seeking new opportunities, current high volatility environment provides window for building asymmetric return structures: Bulls can utilize cheap call skew to participate in tactical rebound, or achieve differentiated allocation via China AI/TOPIX; Neutral or defensive investors can obtain high premium buffer by selling AI bottleneck stock volatility. Regarding HK, given weak capital flow and volatility pricing distortion, lacks systematic opportunity for systematic long volatility or discrete trading in short term, need to wait for valuation reset or capital return signals.

Risks

• AI sector skew normalizes faster than expected, causing early crowded stocks to experience depth drawdown exceeding 10%
• Macroeconomic environment deteriorates (higher/later rates, oil price surge) triggering systemic risk appetite contraction
• Structured product maker hedging behavior amplifies HK single-side volatility at specific price points
• Implied correlation pricing in cross-asset hybrid structures reverses, causing hedging failure
• Geopolitics or sanctions escalation impacting China AI supply chain and Japan Korea semiconductor exports

What to watch

• Rate and magnitude of AI-related index skew normalization (whether breaking 0.8vol breakeven threshold)
• Whether implied volatility of indexes such as KOSPI2, TWSE, NKY maintains high levels to support seller strategy
• Whether HK structured product net issuance volume and Southbound capital flow turn positive
• Whether HSCEI individual stock and index volatility spread narrows to reasonable interval
• Bank of Japan policy moves and breadth of earnings revisions for TOPIX relative to NKY