Market Overview October 6, 2026
Summary
Shanghao Jin locates the source of current risk in rate volatility, not the absolute level of rates or inflation itself. July was mainly a deleveraging event in equities, especially AI-linked assets; now overall market liquidity is “starting to crack,” spreading from long-end rates into FX, sovereign bonds, and credit. The key question is not whether the 10-year reaches 5.1% or 5.3%, but how quickly it gets to 5.1%.
Long-end Treasuries have lost the Fed’s former pricing anchor, and the market has turned to crude oil and diesel instead, allowing energy volatility to feed into rates. Jin says that even in 2022, when inflation expectations were running out of control, the market still believed the Fed would hike and contain long-end rates; today, the market believes inflation is manageable but has no idea whether Kevin Warsh would act at a 2.7% or 2.8% policy rate, or with unemployment at 4.1% or 4.2%. The certainty that “Dad will hit you, but he won’t throw you out of the house” is gone.
Jin relayed Bill Ackman’s view that rate hikes could actually push more capital into AI, but said explicitly that it was not his own view and was somewhat one-sided; he only agreed with part of it: AI could still absorb liquidity as rates rise.
The real danger is a sharp spike in swaption vol hitting a highly levered rates market, with an impact far larger than a few percentage points of equity downside. Bank rates desks and hedge funds finance long bonds to earn the term premium, while insurers use 10-year swaps to hedge duration; leverage and derivatives are stacked on top of one another, so a volatility shock can trigger deleveraging. Jin’s metaphor is that “a real flood of liquidity is coming from rates”; rates and FX are an ischemic shock, while a breakdown in credit could drag on for a year.
Cross-asset signals are converging: the France-Germany spread has widened from roughly 80bp to 139bp, while US and European high-yield spreads and US investment-grade spreads have all surged within a week. Downside skew on the euro, volatility in the Swiss franc and EM currencies, and pressure on the Mexican peso and carry trades are also confirming contagion. Each market has its own explanation, but when risk assets outside equities deteriorate in sync, the common explanation is insufficient liquidity.
Equities have not yet taken a real hit, partly because July already forced deleveraging and partly because valuations and positioning are not high, single-stock correlation remains low, and AI volatility is still falling. Jin estimates current valuations are only about 7% above the worst point of the April 2025 tariff shock, while earnings over the next 2 weeks could provide support; but displayed liquidity is falling relative to the S&P, meaning the trading range could widen sharply once the shock arrives.
AI fundamentals are colliding head-on with macro liquidity, making the short-term direction of equities difficult to call while leaving the long-term odds acceptable. Jin thinks corporate spending next year could reach $1.2T–$1.4T, or even $1.5T; the post-training backlog and monetization could explain that capex. “The railway technology is still being upgraded and iterated,” while enterprise applications are only beginning to roll out.
Even a ceasefire that sends oil prices lower would not immediately stop the bleeding from liquidity pressure that has already spread. Gulf oil exports have returned to prewar levels, but diesel supply, refining capacity, expensive freight, and the risk premium for further action by Iran remain. Jin nevertheless remains convinced that semiconductor demand is “very large”; Muse is penetrating faster than TikTok, its product operations are rated above GPT, and it could in turn drive greater enterprise AI adoption.
Deep dive
1. July Was Equity Deleveraging; Now Macro Liquidity Is Cracking
Jin distinguishes between the 2 shocks: July was mainly deleveraging in AI-related stocks, while the earlier war with Iran did not materially damage most macro assets; this time is different, with overall market liquidity “starting to crack” and signs of spillover already appearing.
Equities’ relative strength comes precisely from having already delevered and fallen once; against macro assets that were largely unaffected earlier, they may be more resilient in the short term. That does not make equities immune—it only changes the order in which the shock arrives.
The GS Financial Conditions Index has risen rapidly. It has not yet returned to April’s worst levels, but the move looks like “water starting to spill over”; Goldman’s risk appetite measure is deteriorating in parallel, indicating this is not an isolated adjustment in a single asset.
2. The Market Fears Rates Losing Control Quickly, Not High Rates
Jin rejects the simple chain of “rates rise, therefore risk assets fall”: the level of rates has limited impact, while a rapid increase and higher volatility are what hit markets. “Don’t focus too much on whether rates reached 5.1, 5.2, or 5.3 today”; focus on how far they have moved within a month.
The latest nonfarm payrolls were expected to rise by 84K but increased by only 29K. Jin says the figure must be read alongside August, which was distorted by seasonal adjustment. Roughly 59K bar workers who should have declined for seasonal reasons instead increased, while educators returning to work also affected the data, so the economy is not as strong as the headline suggests.
AI-related layoffs have remained around 10K–15K per month in recent months, with no mass unemployment. Jin expects both job losses and new work in data labeling and post-training; companies have not finished post-training, and the data is not ready, so the substitution effect has not yet fully arrived.
Jin also relayed Bill Ackman’s view that rate hikes direct capital toward participants able to tolerate higher returns, allowing AI to absorb even more liquidity. Jin explicitly said this was not his own view and considered the explanation somewhat one-sided, but agreed that AI could still benefit from liquidity as rates rise.
3. In 2022 the Risk Was Unknown Inflation; Now It Is the Fed No Longer Anchoring the Long End
Jin’s counterintuitive comparison is that in 2022 the market did not know how high inflation would go, but it was confident the Fed would hike and believed the central bank would constrain 10-year and 30-year yields; today, serious research broadly says inflation is controllable, while the policy response has become uncertain.
He describes the old regime in terms of “fatherly love”: “Dad will hit you, but he won’t throw you out of the house” (老爸会揍你是肯定的，但是老爸不会把你赶出门). The signals from Kevin Warsh instead hand the long end over to the market, with no clear answer even on how the short end would react at a 2.7% or 2.8% policy rate, or with unemployment at 4.1% or 4.2%.
After losing the Fed as an anchor, the 10-year has temporarily turned to oil and diesel: higher oil lifts inflation and rate-hike expectations, and greater energy volatility is transmitted into rates. The linkage is not entirely rational, but it is dangerous precisely because there is no more credible center for price discovery.
After weak payrolls on Friday, rate-cut expectations declined, yet 10-year yields continued to rise. Jin sees this as evidence that the 10-year is unanchored, with no one able to price it consistently.
4. Leverage and Derivatives Turn Rate Vol into a Flood
The marginal buyers of long bonds are no longer just retail investors seeking a 5% coupon. Bank rates desks and hedge funds finance and lever long-end positions, rolling the term premium; Jin says their buying could even exceed that of central banks or sovereign wealth funds.
Insurers seeking to lock in long-term returns for customers use 10-year swaps to hedge the duration risk of large asset portfolios. Even when the underlying assets are equities, other assets, or credit bonds, the hedge ultimately concentrates enormous notional positions in rate derivatives.
The focus should therefore be 3-month-10-year and 6-month-10-year swaption vol, not just yield levels: the option tenor and the 10-year underlying determine how the market is pricing future volatility.
Jin describes shocks in rates and FX as “ischemic”—they can happen suddenly—while credit slowly “necroses,” and a breakdown there could last a year. The flood has already swept over the villages downstream, and the shock is still developing.
5. FX, Sovereign Bonds and Credit Are Giving the Same Answer
The carry trade is beginning to reverse: the dollar is strengthening, Swiss franc volatility is surging, downside skew on the euro is worsening, and South American and other EM currencies are under pressure. If Banxico does not follow US rate hikes, the Mexican peso could fall first and pull neighboring markets into the unwind.
The clearest sovereign signal is the spread between French and German government bonds, which widened from roughly 80bp to 139bp in a matter of weeks. For French banks such as BNP Paribas, funding costs are further increased by their own credit spread and basis; higher borrowing costs would hit their share prices hard.
If European financials are sold for this reason, US financials will struggle to remain insulated. Jin stresses that financial markets do not stop when “one company or one asset” has a problem; cross-market holdings and leverage make deleveraging contagious.
US and European high-yield spreads and US investment-grade spreads all jumped within a week, rapidly raising funding costs for companies below BBB. France’s political turmoil and some central banks’ refusal to hike each provide an explanation, but when risk assets outside equities deteriorate together, the common explanation is a liquidity contraction.
6. Stocks Still Have an Earnings Engine, but Short-Term Direction Is Unreadable
Equities have not shown the classic signs of deleveraging: single-stock correlation remains low, equity volatility is still falling, and AI volatility is falling even faster. If a systemic unwind were already underway, correlation should be rising rapidly, so Jin concludes that the shock “really has not reached equities much yet.”
Valuations and positioning provide a buffer. Jin estimates that current valuations are only about 7% above the worst point of the April 2025 tariff shock. The S&P has held up mainly on earnings, and results over the next 2 weeks could create further separation between winners and losers.
Displayed liquidity is declining relative to the S&P, suggesting that investors are reluctant to post orders. That leaves the market vulnerable to a wider trading range and further amplification of volatility.
Jin expects companies to keep spending next year, with investment potentially reaching $1.2T–$1.4T, or even $1.5T. The key is not merely announcing capex, but using enterprise demand, the post-training backlog, and monetization to demonstrate why the spending is necessary.
Microsoft’s earlier results already pointed to enterprise applications: companies must first complete post-training, and the backlog has not yet been cleared, so one enterprise can only be deployed after its own work is complete. “The railway technology is still being upgraded and iterated”; models are still improving, and application deployment is only beginning.
7. A K-Shaped Market Determines Who Gets Through the Storm; Falling Oil Is Not a Reset Button
Jin believes the odds of improvement over the next year are high, but the short term cannot be called: deteriorating liquidity could send equities into a sharp selloff, while strong earnings could push them higher. AI stocks that already corrected in July may not lead the decline; Starbucks, Goldman Sachs, Morgan Stanley, and other large names that previously fell less could catch down.
He uses a ship to explain the K-shaped split: companies with earnings are motorized boats that can keep moving even while “heading into the storm”; companies with deteriorating fundamentals are sailboats fighting a headwind, making progress far harder and leaving much more downside when liquidity recedes.
Gulf oil exports have broadly returned to prewar levels, but diesel supply and refining capacity will not recover quickly because facilities in the Middle East and Russia have been damaged. Freight remains expensive, and the market still prices in the possibility that Iran could act at any time. A deal or lower oil prices would improve sentiment, but they would not make the rate, sovereign, and credit shocks that have already spread disappear the next day.
Semiconductors remain Jin’s clear bullish call: “demand is very large.” He believes Muse should not be valued solely on direct compute demand; its penetration is faster than TikTok’s, its product operations are rated above GPT, and it could raise enterprise AI adoption in the same way the pandemic accelerated the spread of the internet and mobile apps.