Momentum reversal in technology stocks triggers deleveraging, but has not yet evolved into broad-based risk aversion
AI summary card
Momentum reversal in technology stocks triggers deleveraging, but has not yet evolved into broad-based risk aversion
Goldman Sachs believes that the recent pullback in technology- and AI-related trades is primarily due to momentum unwinding in concentrated crowded positions, rather than broad-based cross-asset de-risking.
- The Goldman Sachs sentiment and positioning indicator has fallen to around the 53rd percentile, while the risk appetite indicator remains elevated at approximately 0.8.
- Global information technology stocks have experienced significant long selling, with crowded AI capital expenditure and semiconductor-related trades representing the core vulnerability.
- Increased participation in short-dated options, 0DTE options, and leveraged ETPs has made market volatility more sensitive to momentum reversals.
- Equity financing balances in South Korea and Japan have declined from elevated levels, while U.S. retail purchases of individual semiconductor stocks have also slowed.
- Hedge fund gross leverage has given back approximately half of its year-to-date increase, and net leverage has declined year to date, although equity fund flows overall remain resilient.
Report interpretation
Overview
This report tracks changes in global cross-asset and technology-sector positioning. The core conclusion is that technology stocks, particularly AI- and semiconductor-related trades, are undergoing momentum-driven deleveraging: long selling in global information technology stocks has been significant, retail financing and leveraged ETF assets have declined from elevated levels, and options trading has become more concentrated and shorter-dated. However, the report does not interpret this as a broad retreat from risk assets, because equity fund flows remain resilient, fixed-income fund flows have been more dominant year to date, and the risk appetite indicator remains elevated.
Core views
First, technology- and AI-related trades had previously added risk at a rapid pace and with high concentration, making the pullback look more like the unwinding of crowded trades. Second, single-stock implied volatility has risen while index implied correlation remains low, indicating greater dispersion within the market, with pressure concentrated in certain AI capital expenditure and semiconductor stocks. Third, retail and leveraged participation are cooling, with financing balances in South Korea and Japan and technology-related leveraged ETF assets both declining. Fourth, cross-asset markets are also being influenced by central bank meetings, repricing of policy expectations, and foreign-exchange intervention: speculative net long positioning in the U.S. dollar has increased, downside skew in long-duration U.S. Treasury ETFs has risen, and sentiment in yen options rebounded after intervention.
Analysis framework
The report cross-validates changes in market risk appetite using positioning, sentiment, fund flows, options, futures, and leverage indicators, focusing on crowded technology trades, global fund flows, CFTC futures positioning, options skew, CTA sensitivity, risk parity allocations, and hedge fund leverage.
Methodology notes
Uses composite positioning and sentiment indicators to assess the degree of crowding in market risk appetite.
The report shows that the indicator has turned more negative and is around the 53rd percentile, suggesting that sentiment is no longer extremely optimistic but is not deeply pessimistic either.
Tracks weekly and monthly fund flows into global mutual funds and ETFs.
The report uses this data to compare flows into equities, fixed income, money markets, regional equities, and risk and safe-haven assets, noting that equity flows remain resilient but fixed-income flows have been more dominant year to date.
Measures investors' directional positioning and demand for tail protection through net futures positions, call/put ratios, and risk reversals.
The report observes rising speculative net long positioning in the U.S. dollar, higher downside skew in long-duration U.S. Treasury ETFs after the FOMC, and a rebound in yen risk reversals after foreign-exchange intervention.
Observes whether systematic strategies and leveraged investors are amplifying market volatility.
The report notes that hedge fund gross leverage has given back approximately half of its year-to-date increase, while net leverage has declined year to date; short exposure to VIX futures has also been reduced to more neutral levels.
Asset mapping & comparison
Structured mapping from thesis to named assets (strengths, weaknesses, peers, risks).
- Global technology stocksCore asset under observation
- Strengths
- Long-term AI capital expenditure and semiconductor themes continue to attract investor attention.
- Weaknesses
- Trading is crowded, with high participation in short-dated options and leveraged products, making the segment vulnerable during momentum reversals.
- Comparison
- Compared with the broader equity market, deleveraging pressure is more concentrated in technology stocks.
- Risks
- Further long liquidation, rising implied volatility, and continued withdrawal by retail and leveraged funds.
- Semiconductor stocksImportant vehicle for AI trades
- Strengths
- Previously received strong retail and thematic fund inflows.
- Weaknesses
- The report states that U.S. retail purchases of individual semiconductor stocks have slowed and that some outflows have emerged.
- Comparison
- Compared with broader technology, semiconductors have more direct exposure to AI capital expenditure expectations.
- Risks
- Cooling earnings expectations or the AI capital expenditure narrative could trigger simultaneous valuation and positioning adjustments.
- Fixed incomeLeading direction of cross-asset fund flows
- Strengths
- Fund flows have been relatively stronger year to date.
- Weaknesses
- Repricing of policy expectations has increased demand for protection in long-duration U.S. Treasury options.
- Comparison
- Compared with equities, fixed-income flows are stronger but more sensitive to central bank signals.
- Risks
- Post-FOMC interest-rate volatility and renewed repricing of long-end yields.
- U.S. dollar and yenForeign-exchange assets influenced by policy and intervention
- Strengths
- Speculative net long positioning in the U.S. dollar has increased significantly, while yen options sentiment has rebounded after intervention.
- Weaknesses
- Non-commercial net futures positioning in the yen remains negative.
- Comparison
- Changes in foreign-exchange positioning reflect policy expectations and intervention more than pure risk appetite.
- Risks
- Changes in central bank communication, the persistence of foreign-exchange intervention, and volatility in interest-rate differential expectations.
Key data
- Sentiment and positioning indicatorApproximately the 53rd percentileThe report states that the indicator has turned more negative.
- Risk appetite indicatorApproximately 0.8It remains elevated, indicating that the environment is not yet one of broad-based risk aversion.
- NAAIM active manager U.S. equity positioning79.7Active managers' U.S. equity positioning has declined moderately.
- Long selling in global information technology stocksLargest one-week long selling since January 2021; second-largest two-day long selling in the past decadeBased on GS Prime Brokerage data.
- Hedge fund leverageGross leverage has given back approximately half of its year-to-date increase, while net leverage has declined year to dateThe report regards this as evidence of substantive deleveraging.
- EPFR coverageMore than $25 trillion in AuMThe report appendix states that EPFR fund flow data covers global mutual funds and ETFs.
Impact & implications
The implication for portfolios is that short-term volatility risk has increased for technology- and AI-related exposures, particularly crowded long positions expressed through short-dated options, leveraged ETFs, and financing trades, which are more vulnerable to momentum reversals. However, because fund flows and risk appetite do not yet indicate a broad retreat, the pressure is more likely to appear as de-crowding within sectors and at the individual-stock level rather than a synchronized collapse in global risk assets.
Risks
- Further de-crowding in AI and semiconductor trades could increase volatility in technology stocks.
- Short-dated options and leveraged ETP positions could amplify intraday or short-term market volatility.
- Synchronized deleveraging by hedge funds, retail financing, and systematic strategies could create liquidity pressure.
- Repricing of central bank policy expectations could increase volatility in interest rates, foreign exchange, and long-duration assets.
- If equity fund flows shift from resilience to sustained outflows, localized deleveraging could escalate into broader risk aversion.
What to watch
- Whether the Goldman Sachs sentiment and positioning indicator continues to fall below the neutral range.
- Whether long selling in global information technology stocks develops from a one-week event into a persistent trend.
- Whether financing balances in South Korea and Japan and technology-related leveraged ETF assets continue to decline.
- Whether U.S. retail fund flows into individual semiconductor stocks turn positive again.
- Leveraged fund positioning in VIX futures, hedge fund net and gross leverage, and equity options call/put ratios.
- Downside skew in long-duration U.S. Treasury ETFs after the FOMC, speculative U.S. dollar positioning, and yen risk reversals.