AXIOMA ROOF™ SCORE HIGHLIGHTS

Every news cycle auditions for the lead role in investors' attention. Some arrive with dramatic trailers, expensive special effects, and urgent promises that this time the story really matters. Last week belonged to two returning franchises. The first was war, reprising its familiar contribution to higher oil prices as fighting intensified in both theatres. The second was AI, although this season's plot twist had little to do with technological capability and much to do with who will eventually pay for it. Between CoreWeave, Oracle, and Meta, investors spent less time debating artificial intelligence than the very human question of financing data centers, a reminder that every great technological revolution eventually meets a credit committee.

The real story in the ROOF data, however, is not the identity of the week's headlines but the remarkable uniformity of investors' response to them. Cross-market sentiment dispersion sits at the 1st percentile of its entire history, unchanged from a week ago but down materially from the 35th percentile a month earlier. A common driver has taken hold across the ten markets we track and is becoming increasingly dominant. Investors may disagree on whether the greater risk lies in wars, rates, or the financing of the AI build-out, but their portfolios increasingly express the same conclusion: caution. The destination is increasingly shared, even if some investors took different routes to get there. Monthly sentiment changes among APAC ex-Japan and Emerging Market investors moved closely together, as did those among Japanese and US investors and among DM ex-US and UK investors. Local considerations have not disappeared; they are simply being overwhelmed by a broader drift toward risk aversion. Aggregate sentiment declined from neutral a month ago to negative today. Investors in three markets who were positive or bullish a month ago are no longer so, while investors in seven of the ten markets we track are now negative or bearish. Emerging Market investors have turned outright bearish, sentiment among APAC ex-Japan investors has deteriorated materially over the past month, and US investors have turned negative from neutral.

If there was one counterweight to the week's deterioration, it came from the bond market. As expectations for a rate hike at this month's FOMC meeting faded, long-dated yields retraced part of their recent rise. The effect on sentiment, however, was limited because falling yields removed only one source of anxiety without solving the others.

With the midterms approaching, investors are increasingly focused on another source of uncertainty. “It's the Affordability, Stupid” opens nationwide in a congressional district near you on November 3rd. Starring Gas Prices, Grocery Bills, Utility Rates, Diesel Costs, and Airline Fares. With Data Centers and Mortgage Rates in supporting roles. The President has an affordability problem: voters want answers on the cost of living, and he has precious few to offer. Foreign policy often becomes the refuge of a White House that has little to say about domestic issues. Midterms are not a presidential election: House members run district by district, senators state by state, and voters tend to care less about the grandeur of America's place in the world than about the cost of living in their own corner of it. Even at GOP rallies, the President is finding that voters may cheer the foreign-policy headlines but still vote based on the bills waiting for them at home.

The question at this point is no longer whether Democrats gain seats. It is whether Republican losses remain merely bad or become wave-sized. Recent rating changes by the Cook Political Report suggest the probability of the latter is rising quickly. Democrats are also now in position to regain a majority of governorships for the first time since 2010. A Democratic House wave can happen because voters dislike Washington. A Democratic majority of governors would imply something broader: voters changing their minds in multiple states simultaneously. Cook increasingly appears to think that is happening.

For investors, this matters more because the AI build-out is increasingly an infrastructure financing story first, a technology story second. Data centers are built locally, and many of the decisions that determine how quickly capital spending turns into productive capacity are made at the state rather than federal level: zoning, environmental permits, transmission access, grid interconnections, tax incentives, and workforce development. Governors influence many of these decisions directly or through the agencies that administer them. As a result, gubernatorial races in Texas, Ohio, Georgia, Arizona, Nevada, and Iowa may ultimately matter more to AI infrastructure investors than a House race in a swing congressional district.

Last week's AI fears highlighted concerns about the fragility of the funding side of the equation, as rising interest rates exposed the growing volume of debt required to finance hyperscaler capital expenditure programs. The revenues and cash flows expected to service that debt depend on new data centers becoming operational on schedule and on budget. Delays in permitting, grid connections, power availability, or construction timelines push back the revenue streams pledged against that growing wall of debt. Investors are starting to price the risk that the funding pipeline may be more fragile than previously assumed; they have not yet begun to price the possibility that election outcomes in key states could influence the speed at which the underlying infrastructure is built and monetized.

The coming week includes earnings from Meta, Tesla, Netflix, SAP, and others. PMIs, housing data, European sentiment surveys, UK inflation figures, and China's GDP release will add global color. But with little time remaining before this year's main political event, investors may find themselves paying as much attention to state capitals as to earnings calls.  

Aggregate ROOF Trend: The black line is the aggregate mean of ROOF scores across the ten markets; the shaded grey band shows the range from the most bearish to the most bullish market on each day, indicating the dispersion of sentiment across the universe. Reading it: a rising line indicates increasing risk tolerance; a declining line indicates increasing risk aversion. 

Bottom strip: cross-market dispersion percentile — the cross-sectional standard deviation of ROOF across the ten markets, percentile-ranked against its own full history. Shaded zones mark elevated (>80th percentile) and compressed (<20th) readings. Reading it: a spike into the top shaded zone is a material divergence episode (sentiment moving in different directions across markets), a slide into the bottom shaded zone is a material convergence episode on a common driver (sentiment moving in the same direction across markets). 

Regime Distribution: Three horizontal stacked bars show how the ten markets are distributed across the five regimes — today, one week ago, and one month ago. Each bar is colored by regime: red (Bearish), yellow (Negative), grey (Neutral), blue (Positive), green (Bullish). The white vertical marker on each bar shows the aggregate ROOF score for that period. Tick marks below the bars align with the regime thresholds at ±0.20 and ±0.50. Reading it: a leftward shift over time indicates broadening deterioration; a rightward shift indicates broadening improvement. Widening tails signal rising dispersion.

Market Monitor: A table showing, for each market: current ROOF score, current regime, weekly and monthly changes, regime one month ago, and distance to the nearest extreme threshold. Color cues highlight regime deteriorations (red) and improvements (green). Reading it: scan the "1M Ago Regime" column for markets that have crossed regime bands over the past month; check the "Distance" column to find markets close to the ±0.50 extreme thresholds.

Correlation Matrix (Δ1M): A heatmap of correlations between monthly sentiment changes across all market pairs, over a rolling 60-day window. Green cells indicate that investor sentiment in the two markets changed in the same direction; red cells indicate opposite directions. The rightmost column shows each market's average correlation with the rest of the universe. Important: these are correlations of sentiment changes, not market returns or ROOF levels. High correlation means investor mood in the two markets moved in sync over the past 60 days.