Goldman Sachs: The Markets
2026-07-20 · Hosted by — · Goldman Sachs
Executive Summary
Goldman Sachs' Chris Hussey and Brian Garrett, who heads equities within the cross-asset sales team, examined why markets sit at all-time highs despite Middle East conflict, high rates, and looming midterm elections. About half of large banks have reported earnings, with the S&P financial sector hitting an all-time high; next week 20% of S&P market cap reports, against a high bar of 22% year-on-year earnings growth expected by Goldman's analysts and options markets implying above-average price moves.
Key Stories & Changes
1. Bank Earnings Set a High Bar for the Broader Market
About half of large banks have reported this week; S&P financial sector at an all-time high
Next week, 20% of S&P market cap reports earnings
Goldman's bottoms-up analysts expect 22% year-on-year earnings growth
Options market implies an average S&P stock move of about 5.5%, roughly 60-70 basis points above the long-run average
2. Market of Stocks vs. the Stock Market: A Volatility Divergence
Index-level (S&P) realized volatility remains very low, while single-stock realized volatility is running very high, an unusual combination
Goldman's prime brokerage unit: roughly 75% of global equities bought since the April lows have been sold heading into this earnings season, leaving hedge fund positioning "pretty clean"
Garrett frames this clean positioning as one of the more constructive signals heading into earnings, since a de-risked (reduced-exposure) market has more room to re-add to winning names if results are strong
3. AI Infrastructure Buildout Pushes Hyperscalers Into Credit Markets
Goldman research estimates hyperscalers need to raise $5.5-6 trillion between 2025 and 2030 to fund AI buildout
Companies once known for buybacks and asset-light, high-free-cash-flow models are transitioning to asset-heavy businesses funded partly via equity issuance and increasingly via debt
A large hyperscaler bond deal priced tight early in the week has since widened; Goldman's hyperscaler bond basket widened by 22 basis points last week
Investor hesitancy stems from two factors: sheer issuance size, and sector concentration risk (a large share of recent investment-grade issuance is technology-sector bonds)
CDS (credit default swap) and equity put-protection (puts on the QQQ) metrics for hyperscaler/AI names are described as trading in "wider distributions" relative to each other, signaling a growing gap between credit-market and equity-market anxiety levels
4. Volatility Divergence Extends Globally: Korea's Kospi Flagged
Korea's Kospi index implied volatility is currently higher than during the global financial crisis
Driver: heavy index concentration in one or two high-volatility stocks, plus a surge in leveraged/inverse ETF issuance
About one in five ETFs currently in the market have some leveraged or inverse component; one in three ETFs issued year-to-date have that component
These structures can increase "short gamma" in the market, amplifying single-stock volatility while muting index-level volatility, since leveraged ETF rebalancing forces mechanical buying into strength and selling into weakness
5. Two Options-Market Trade Ideas
Trade 1 — Single-stock collars: Elevated retail call-option buying has pushed implied call premiums above equivalent put premiums in about 10% of S&P names and 15% of Nasdaq names, an unusual dynamic in Garrett's 20-year career. Recommendation: buy a 10%-out-of-the-money put (downside insurance) funded by selling a 15-20%-out-of-the-money call.
Trade 2 — Leveraged S&P downside protection via binaries: Low index-level volatility has made digital/binary put options historically cheap. Example structure: a 7% S&P drop by end of August pays 5x leverage; a 10% drop pays 10x leverage.
Trends Identified
1. Divergence Between Index Calm and Single-Stock Turbulence
The combination of low index-level realized volatility and high single-stock volatility, partly a byproduct of leveraged ETF proliferation, is creating cheap hedging opportunities at the index level even as individual positions remain risky, a structural feature investors should exploit rather than assume will persist.
2. AI Capex Is Reshaping Corporate Balance Sheets and Credit Markets
The shift of hyperscalers from asset-light, cash-generative buyback machines to asset-heavy, debt-financed infrastructure builders is a multi-year structural change with early warning signs already visible in widening technology bond spreads, a leading indicator worth monitoring ahead of broader equity market stress.
3. Leveraged ETF Proliferation Is Amplifying Global Volatility Anomalies
Korea's Kospi implied volatility exceeding financial-crisis levels illustrates how concentrated, leverage-heavy index construction combined with the rapid growth of leveraged/inverse ETFs can produce volatility readings disconnected from underlying macro conditions. ---
Sentiment Analysis
Overall Market Sentiment: Cautiously Constructive
Garrett strikes a measured tone: not bearish, but flags that the high bar for earnings and structural volatility anomalies warrant active hedging rather than passive exposure.
Risk Factors Highlighted
High bar for Q2 earnings: 22% expected year-on-year earnings growth combined with above-average implied price moves raises the risk of "sell the news" reactions even on solid results.
AI infrastructure debt oversupply and concentration: Massive planned issuance ($5.5-6 trillion through 2030) concentrated heavily in technology-sector bonds is already causing spread widening.
Leveraged ETF-driven volatility amplification: Growing leveraged/inverse ETF issuance (now a third of new ETFs) can mechanically worsen single-stock and concentrated-index volatility.
Kospi concentration risk: Korea's index volatility, elevated by heavy weighting in a small number of high-volatility stocks, signals fragility in a major global equity benchmark.
Inflation and Fed policy uncertainty: With a new Federal Reserve chair and an FOMC meeting at month-end, inflation data (with a PCE print also due) remains the key macro variable to watch.
Credit-equity risk perception gap: Diverging CDS and equity put-protection metrics for AI/hyperscaler names suggest credit markets may be pricing risk differently than equity markets, a potential early warning sign.
This episode was covered in today's [The Market Signal — 2026-07-20](https://marketsignal.beehiiv.com/p/the-market-signal-2026-07-20), a cross-source synthesis of multiple podcast reports.