Oil prices and AI are driving up inflation and pushing interest rates higher, putting bonds and real estate under pressure.

On Monday (2026-09-28) U.S. stocks fell across the board. SPY fell 0.74%, QQQ fell 1.07%. Over the past 5 trading days, SPY has cumulatively fallen 1.02%, QQQ down 0.67%. The gold and silver sector fell even harder: gold ETF GLD fell 3.94% in one day, silver ETF SLV fell 5.49%.

Several news items today point in the same direction: inflation is hard to bring down, and long-term borrowing costs remain elevated. ETF Radar's bond and real estate readings also land in this direction.

Main thread: Oil prices, AI investment, and inflation together push rates higher

Start with oil. Iran said on Tuesday that the Qatari mediator has proposed some ideas and both sides have discussed them. The mediator will convey them to the U.S., and the U.S. final response will also be returned via Qatar. The background is that Trump previously rejected a plan to reopen the Strait of Hormuz. The Hormuz choke point is critical for global oil shipments; if the strait is blocked, oil prices are unlikely to fall. On Monday, oil-related ETFs rose against the trend: BNO rose 1.14%, USO rose 1.13%. Over the past month, the two have cumulatively risen 17.19% and 15.66%, respectively.

High oil prices make inflation more persistent. Layer on another force: AI. CNN ran an analysis titled "Why the AI boom makes inflation harder to bring down." Yahoo Finance reported that U.S. data center construction has reached 10.3 trillion dollars. Imagine the whole country simultaneously building buildings, wiring power, and buying equipment — prices for steel, copper, electricity, and workers will be pushed up. AI demand has also boosted Asian exports; the Hong Kong Trade Development Council just raised its 2026 export forecast. A strong business cycle is good, but the hotter the economy, the less willing central banks are to ease.

This pressure is already transmitting to central banks and the bond market. The Reserve Bank of Australia just released its latest rate decision against a backdrop of data showing core inflation running well above target and stronger than expected. Core inflation — the price increase excluding volatile items like oil and food — better reflects the underlying inflation trend. In the U.S., the 10-year Treasury yield is about 5.18% (from the Federal Reserve Bank of St. Louis database). Plainly, the government must pay 5.18% annual interest to borrow for ten years. The term premium is about 0.96%, meaning investors holding long-term bonds demand that additional portion of return as compensation. An Axios piece offered another angle: surging yields can also be a good thing. High yields often signal a strong economy. But for households and businesses that need to borrow, costs have genuinely risen.

Put this chain plainly: high oil prices plus hot AI investment make inflation hard to lower. If inflation is hard to lower, central banks are reluctant to cut rates. Long-term rates stay high, borrowing becomes expensive, and real estate, banks, and companies with weaker credit face the most pressure.

There are counterflows. After the Trump–Xi meeting, the U.S. and China each published lists of about $60 billion of non-sensitive goods to prepare for tariff reductions. The U.S. Commerce Department also exempted certain specialty drugs from 20 jurisdictions including India, waiving the new 100% drug tariffs. Lower import costs theoretically ease some price pressure. But the scale is limited and light compared with the push from energy and AI investment. The input data does not explain the one-day plunge in gold and silver. When rates are high, non-interest-bearing gold usually suffers; this background can be referenced but should not be treated as a confirmed cause.

Related ETFs: Which have a real relationship to today’s main thread

IEF(US 7-10 Year Treasury ETF)

First, look at actual performance. IEF fell 1.78% over the past 5 trading days and 3.58% over the past month. Looking forward, the ETF Radar model is negative for the next 1–3 months with fairly consistent signals and multiple pieces of evidence aligned.

There are several bases. First, CFTC net positions in 10-year Treasury futures are about -1,926,947 contracts (reporting period 2026-09-22). This is the net short position after large players’ short bets minus long bets; the large magnitude indicates many are betting on bonds falling. Second, the bond-market volatility index MOVE reads 96.0. This index measures expected Treasury price volatility; the higher the number, the more unsettled the market. Third, IEF options’ implied volatility historical percentile is 94%, meaning insurance is pricier now than in over 94% of past times.

One point to note: IEF has seen net inflows over the past 30 days equal to +2.50% of assets, and short-covering could cause a short-term rebound. This judgment is directly based on rates and position data and is a systematic medium-term stance, not directly related to today’s yen news.

XLRE(Real Estate Sector ETF)

XLRE fell 2.91% over the past 5 trading days and 7.04% over the past month. The model is negative for the next 1–3 months with fairly consistent signals.

The transmission mechanism is clear. High rates depress real estate valuations. The 30-year mortgage rate is about 7.03%; with expensive mortgages, fewer people buy homes, and companies holding real estate have compressed valuations. Data show XLRE underperformed SPY by about 7.55 percentage points between 2026-08-14 and 2026-09-25. Over the past 30 days there were net outflows equal to -1.83% of assets, indicating real money is exiting.

One more point: new home sales recently rose to an 8-month high; this pertains to the residential market and does not directly affect office leasing demand. That data does not change the model’s negative tilt on office-type real estate, and instead highlights a divergence between residential and office. Technically, XLRE’s RSI is about 24.8, already in oversold territory. RSI measures short-term price momentum; below 30 typically indicates an accelerated decline and a possible near-term bounce, which merits attention.

HYG(US High Yield Corporate Bond ETF)

HYG invests in bonds issued by lower-credit companies, commonly called junk bonds. It fell 1.45% over the past 5 trading days and 2.76% over the past month. Looking ahead, ETF Radar is negative for the next 1–3 months with fairly consistent signals.

The core reading is the high-yield credit spread, called HY OAS, currently 2.93%. This number represents how much more interest weaker-credit companies pay compared with the government. The spread has widened by 25 basis points in the past 5 days and 33 basis points in the past 20 days (1 basis point equals 0.01%). Widening spreads indicate investors see rising default risk for these companies. The system’s transmission chain is: high rates increase debt-servicing pressure on households and businesses, default risk rises, and junk bond prices are pressured.

There is a clear counter signal here. Since 2026-09-22, HYG has seen net inflows of about 1,141 million USD, equal to +7.12% of assets — a large amount of money coming in. At the same time, short positions are about 109 million shares, up 15.4% from the previous period, and options implied-volatility percentile is 86%. The simultaneous presence of inflows and accumulating shorts means near-term volatility could be large; the market does not fully agree with the model at this moment.

BNO(Brent Oil ETF)

BNO is one of the few instruments in today’s main thread with a real transmission link. It rose 2.48% over the past 5 trading days and 17.19% over the past month. Looking forward, the model is positive for the next 1–3 months with fairly consistent signals.

Today the Strait of Hormuz deadlock did not resolve, leaving little reason for oil prices to fall, which aligns with the model’s direction. The model’s other main basis is congressional sanctions on Russia’s "shadow fleet." The shadow fleet refers to roughly a thousand old, uninsured tankers that use covert methods to move oil. Tighter sanctions will reduce the quantity of Russian products flowing into the market.

On the quant side, the CFTC report shows speculative net longs of +101,828 contracts (reporting period 2026-09-22), indicating that money betting on oil price increases still dominates. But the recent four-period sequence is 94,281, 111,731, 106,279, 101,828, showing a retreat from the highs. The futures curve’s pattern of near-month richness and far-month cheapness has persisted for a long time; we won’t expand on that here.

Risks are also clear. BNO has already rallied strongly, gaining +38.33% during the window while SPY only rose 3.62% in the same period. Options implied-volatility percentile reached 87%, short positions surged 78.1%, and the maximum drawdown during the window once hit -15.21%. Fast-rising assets also carry large drawdown risk; the model gives a medium-term direction but not a guarantee against volatility.

Closing

Today’s main thread is that oil prices, AI investment, and stubborn inflation make it hard for long-term rates to fall. On the bond, real estate, and junk-bond line, ETF Radar readings are negative. On the oil line, readings are positive. Fund flows and short-position data show crowding and short-term rebound risks in all these directions.

A reminder: the above are systematic quantitative model directional forecasts for general markets and do not constitute personalized investment advice; consult a licensed investment advisor before investing.