Haver’s data services are provided through the DLX platform; delivering tools for data management, visualization, modeling and publishing. DLX is designed to increase productivity and integrates with Excel, PowerPoint, and major statistical software packages; MatLab, R, Python, SAS, E-views and Stata. DLX component application DLXVG3 offers precision graphics, publishing, analytic tools, and easy navigation for all Haver databases.

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Chart and compare multiple data series with accompanying data table of values

Advanced functions (growth rates, moving averages, aggregation, seasonal adjustment)

Analytical tools (cycle charts, scatterplots, trend lines, and recession shading)

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Excel and PowerPoint direct export and complete integration (dynamic spreadsheets and presentations update on a click)

DLXVG3

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DLX Add-ins for all versions of Excel provide instant data updates of entire workbooks

Use DLXVG3 to locate data series codes from within any file, easily creating new spreadsheets for analysis

Edit date ranges, archive data, apply functions

Excel Spreadsheet Add-ins

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Haver offers timely, accurate, and professionally supported data via an update service, meeting the strictest demands of the institutional research community

AutoUpdate provides fast and reliable data updates within seconds of source releases

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Manual updates offer clients the independence to update data retrievals on any desired schedule

All database updates retrieve only the data series that have changed and send only the data points that have been updated; including revisions

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Haver supports a DLX API permitting clients to leverage and build processes with DLX data

Database Compatibility

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Data Link Express

Platform Independent site delivering DLX Databases across any workstation or device.

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HaverView

[Matlab](http://matlab.com) by The MathWorks lets you access, visualize, and analyze historic time-series data to identify patterns or uncover complex relationships. From within a single environment you can:

- Access data from multiple sources including files, spreadsheets, databases, data providers, and the Web
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- Perform technical analysis with moving averages, oscillators, stochastics, and indices
- Create custom analysis routines and visualizations or animations to capture, present, and share your analysis processes and discoveries
- Customize your analysis environment with advanced functionality from signal processing, statistics, or econometrics

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MATLAB

[Stata Data Analysis and Statistical Software](https://www.stata.com) by StataCorp LP is an integrated statistical package designed for researchers of all disciplines. It provides the ability to do data analysis, data management and graphics and has features such as multiple imputation, factor variables, GMM, competing-risks regression, state-space modeling, predictive margins, and more.

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Stata

[SAS](https://www.sas.com) provides an integrated environment for predictive and descriptive modeling, data mining, text analytics, forecasting, optimization, simulation, experimental design and more. From predictive analytics to model deployment and process optimization, SAS provides a range of techniques and processes for the collection, classification, analysis and interpretation of data to reveal patterns, anomalies, key variables and relationships, leading ultimately to new insights and better answers faster.

[SASEHAVR](http://support.sas.com/documentation/cdl/en/etsug/67525/HTML/default/viewer.htm#etsug_sasehavr_gettingstarted01.htm) is a seamless interface between Haver and SAS data processing that enables SAS users to read economic and financial time series data that reside in a Haver Analytics DLX (Data Link Express) database. [SASEHAVR](http://support.sas.com/documentation/cdl/en/etsug/67525/HTML/default/viewer.htm#etsug_sasehavr_gettingstarted01.htm) requires both SAS/ETS and Base SAS Software.

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[RATS (Regression Analysis of Time Series) Econometric Software](https://estima.com) by Estima is a leading econometrics and time-series analysis software package. It provides ability to do linear and non-linear least squares, forecasting, SUR and ARIMA models and in addition, supports advanced techniques such as GMM, ARCH and GARCH models, state space models, and more.

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RATS

Session 1: Bootcamp Part 1

Visualization with GGPlot2 and data analysis

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Session 3: Univariate Models Part 1

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A popular open source option for statistical computing and graphics that is available on many UNIX platforms, Windows and MacOS

Estimating, evaluating, and forecasting ARIMA models

Understanding the concept of non-stationarity and testing for unit roots

Estimating autoregressions, granger causality tests, and impulse response functions

Understanding the concept of cointegration and testing using the Enger-Granger test

Estimating and forecasting with vector error correction models

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Teaches econometrics and forecasting at the University of Colorado Denver. He has over 15 years of econometric experience in both the private and public sector.

Daniel L. Jerrett, Ph.D.

Abdel M. Zellou, Ph.D.

Bootcamp and Econometric Tools 1 & 2

Econometrics Training: Applied Time Series in R

Session 5: Multivariate Models Part 1

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Haver partners with SmartMacro Labs to offer a two week immersive online course introducing participants to the power of the Python programming language. This applied hands-on training develops statistical economics skills with a concentration on economics and finance.

Gain proficiency in building modern time-series models in Python through real-world applications. Designed for professionals in both the public and private sector, the course does not require prior experience, assuming only that participants have a basic understanding of regression and statistical concepts.

Proficiency working in Jupyter notebooks and the Python environment

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Remote Training: Applied Time Series in Python

Surging orders for computers and electronics propelling durable goods orders

Andrew Cates

**Equity Momentum and Global Surprises — Still Moving Together**
One of the more telling features of global equity markets in 2026 has been the persistence of the correlation between non-US equity momentum and global growth and inflation surprise indices. Equity markets outside the United States have generally prospered when economic data have beaten consensus expectations and when inflation surprises have been negative  — a combination that has historically been associated with stronger corporate earnings and a more benign policy backdrop in economies other than the US. That correlation has held reasonably well through the turbulence of the past few months, even as the Middle East conflict introduced significant noise into both the economic data and the financial market signal. What the chart reveals this week is a picture of moderate but not alarming deterioration: global growth surprises have softened at the margin, consistent with the energy cost headwinds that have weighed on European and Asian activity, but the relationship between equity momentum and the broader data pulse remains intact. It is a signal that market participants continue to track economic fundamentals rather than purely geopolitical newsflow — a modestly reassuring sign that the underlying framework for assessing the global cycle has not broken down.

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**The Fed Decouples: Why Oil and US Two-Year Yields Have Parted Ways**
For much of 2026, oil prices and US two-year Treasury yields moved in close alignment. The logic was straightforward: higher oil prices raised inflation expectations, which in turn pushed market participants to anticipate a more hawkish Federal Reserve, lifting short-dated yields in the process. That relationship held with notable consistency through the March escalation and the months that followed, as energy market shocks and monetary policy expectations fed off each other. What this week’s chart captures is a striking breakdown in that correlation. As oil prices have fallen on the back of the US-Iran memorandum of understanding and the associated unwinding of the geopolitical risk premium, US two-year yields have not followed them lower. The reason is last week’s Federal Reserve meeting. Under new chair Kevin Warsh, the Fed delivered a hawkish dot plot that shifted the median year-end projection to a hike, making clear that the easing cycle previously priced by some market participants is no longer the central scenario. The message is important: the deflationary impulse from lower oil prices is being offset — at least in the Fed’s framing — by persistent underlying inflation pressures and a commitment to keeping policy tight.

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**Flash PMIs Signal Easing Supply Chain Stress and Softer Price Pressures**
June’s flash PMI surveys, released this week across the major advanced economies, provide a timely read on how the global manufacturing and services sectors are absorbing the shifting macro backdrop. Two findings stand out. First, supplier delivery times have improved (or not lengthened as much as they had in the prior two months). This finding coheres naturally with the broader narrative: lower oil prices reduce transport and energy input costs, while the resumption of Strait of Hormuz shipping flows — examined in more detail in chart 4 — is beginning to reduce the freight disruption and re-routing costs that had been building since the conflict escalated. Second, output price inflation in manufacturing has softened, suggesting that some of the pipeline pressure from earlier energy cost spikes is beginning to fade.

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**Hormuz Traffic and Oil: A Coherent Story of Tentative Normalisation**
The recent US-Iran memorandum of understanding to work towards a final deal, though not without subsequent flare-ups, has already brought relief to markets, most visibly in crude oil prices. This should go a long way towards unwinding the inflation-related concerns that previously elevated oil prices had stoked. While the pullback has owed much to anticipation of the glut of pent-up supply expected to follow, certain trackers of shipping volume through the Strait of Hormuz, such as the IMF’s, already point to a marked pickup in traffic, even if it remains well below pre-conflict levels. Should this normalisation of shipping flows persist, it would lend continued justification to a corresponding easing in oil prices, energy-related inflation and, by extension, headline inflation — a welcome development for central banks grappling with the delicate balancing act of reining in price pressures without dampening growth too sharply.

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**South Korea’s Trade Data Flag a Modest Softening in Global Demand**
South Korea’s trade data serve as one of the global economy’s most useful early warning systems. As one of the world’s most open economies, with exports spanning semiconductors, petrochemicals, steel, automobiles and consumer electronics, South Korea’s monthly trade figures provide a timely and broad-based read on the state of global demand. This week’s data show a slightly softer picture than the strong prints that characterised much of the first quarter. Headline export growth has moderated at the margin, and crucially, semiconductor exports — which had been the most dynamic component of the trade data, propelled by AI-related chip demand — have also come in a touch below the exceptional run rates seen earlier in the year. This is not, in itself, alarming: some moderation from peak rates was always to be expected, and the semiconductor cycle remains structurally supported by the scale of AI infrastructure investment globally.

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**A Super El Niño on the Horizon — The Next Inflation Risk**
With that said, while one driver of price pressures seems to be ebbing for now — albeit not without the risk of future flare-ups — another potential inflationary risk looms on the horizon. The chart illustrates the transmission mechanism. It plots Thailand’s milled rice production (left axis) against Australia’s Southern Oscillation Index (right axis), a well-established barometer of El Niño and La Niña conditions. The convention is straightforward: SOI readings persistently above +8 indicate La Niña, associated with above-average rainfall across Southeast Asia and broadly supportive crop conditions; readings persistently below -8 signal El Niño, which brings drought stress and reduced water availability across the region. The historical relationship is striking. The sharp negative SOI troughs around 2002–03, 2009–10 and most dramatically around 2015 all coincide with visible falls in Thai milled rice output. The severe El Niño of 2014–16 produced both the deepest SOI trough in the series and the sharpest single drop in rice production, to below 24,000 thousand tonnes. As meteorological authorities have been warning for some time, the world appears to be facing an imminent Super El Niño event, with the SOI already drifting back towards negative territory in recent months. Were a significant El Niño to materialise in the second half of this year, the implications for Thai rice output — and by extension for Asian food price inflation — could be substantial. Central bankers, in other words, may find themselves having to wrestle with a new inflationary impulse just as they had begun to hope the worst was behind them.

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The mood in global financial markets this week is more settled, though “settled” should not be confused with resolved. The US-Iran memorandum of understanding, signed last week, has continued to do its work: oil prices have fallen further, Strait of Hormuz shipping traffic has picked up measurably, and the risk premium that had been embedded in energy markets since the conflict escalated in March is now visibly unwinding. That is a material development for the inflation outlook, and central bankers will be watching carefully. Yet the picture is not without its complications. Technology stocks — the most conspicuous beneficiary of the prevailing low-rate, high-growth narrative — have been subject to renewed jitters this week, as investors grow more attentive to stretched valuations and the implications of a Federal Reserve that, under new chair Kevin Warsh, is no longer signalling the easing cycle previously priced into markets. Against this backdrop, this week’s charts draw on the latest data to assess where the global economic cycle stands. Equity momentum outside the United States has tracked closely with global growth and inflation surprises, a correlation that tells us something important about how activity is being perceived (chart 1). Meanwhile, the breakdown of the previously tight relationship between oil prices and US two-year yields is arguably one of the more telling market signals of recent weeks (chart 2). June’s flash PMI surveys point to easing supply chain stress and softer output price inflation in manufacturing — a finding that chimes naturally with lower crude prices and the resumption of Hormuz flows (chart 3). The Strait of Hormuz itself deserves a closer look: traffic data and the mechanics of the oil price pullback are telling a coherent story that supports the PMI picture (chart 4). South Korea’s trade data, including semiconductors, offer a slightly softer read on global demand momentum at the margin (chart 5). And looming on the horizon, one new risk is drawing the attention of meteorological authorities: a Super El Niño event whose probability has been rising, with potentially significant implications for food commodity prices and Asian agriculture (chart 6).

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Charts of the Week: Calmer Waters, New Currents

Michael J. Moran

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The price index for personal consumption expenditures rose 0.4% in May, although the measure almost rounded up to 0.5% (0.4498%). May marked the sixth consecutive month with headline prices increasing 0.3% or more. This series of changes has pulled the year-over-year inflation rate to 4.1%, up from 2.3% just over one year ago (April 2025). Energy prices, of course, have been the most important factor behind the acceleration in inflation, and they remained an issue in May, increasing 4.0% after advances of 3.9% and 11.6% in the prior two months. Food prices have moved erratically in the past year, with jumps and lulls leaving an average monthly increase of 0.2%. The noise was evident in recent months, with food prices increasing only 0.1% in May after a jump of 0.5% in April.

Core prices also have contributed to the pickup in inflation. After averaging monthly increases of 0.24% during 2025, core prices have increased at an average rate of 0.34% so far this year. The year-over-year increase in core inflation totaled 3.4% in May, up from a recent low of 2.6% in April of last year. Both the headline and core inflation rates are uncomfortably above the Federal Reserve’s target of 2.0%.

Total personal income rose briskly in May (0.7%). A surge in farm income played an important role (up 125% month-to-month, most likely reflecting government support payments), but nominal results also were firm elsewhere (up 0.5% ex farm income). Inflation reduced the purchasing power of this income gain, but aggregate income still advanced slightly in real terms (0.2%).

Given the recent surge in energy-driven inflation, May marked only the second monthly increase in real income so far this year. Tight budgets have dampened consumer spending, but individuals have not pulled to the sidelines. Real consumption expenditures rose 0.5% (annual rate) in the first quarter, and results for April and May suggest that real PCE is on track to increase 1.5% to 2.0% in the second quarter.

Households have managed to remain moderately active in their spending by limiting their saving. The saving rate has drifted lower since early 2024 moving to 3.0% in May (chart, below right). The erosion in saving perhaps seems reckless, but some of the reduction could be a response to the strength in the equity market, where wealth gains have possibly limited the incentive to save. Also, larger-than-normal tax refunds this year because of tax cuts in the One Big Beautiful Budget Act have allowed many households to spend actively despite modest increases in real income.

The personal income and consumption figures are available in Haver’s **USECON** database with detail in the **USNA** database. The Action Economics forecasts are in **AS1REPNA**.

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- Energy prices rose sharply for the third consecutive month; core prices were unsettling as well.
- A jump in nominal income translated to a modest advance in real terms, allowing consumers to remain reasonably active.

Personal Income, Consumption, and Prices in May

Winnie Tapasanun

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New orders for durable goods fell 4.5% m/m in May, the first monthly fall in three months, following an upwardly revised 8.5% gain in April (+7.9% initially reported on May 28) and a 1.3% increase in March (unrevised), according to today’s advance report by the U.S. Census Bureau. The Action Economics Forecast Survey had expected a 4.4% m/m May decrease. The year-on-year rate decelerated to -3.5% in May from +17.7% in April (+20.0% in May 2025), marking the first negative reading since December 2024 (-4.5%). Excluding transportation, durable goods orders rose 1.3% (10.2% y/y) in May, the 13th consecutive m/m rise, after a 1.4% increase in April. Meanwhile, durable goods orders excluding defense dropped 4.6% (-5.0% y/y), down for the third time in four months, following an 8.4% April rebound.

The m/m fall in May durable goods orders was driven by a 51.8% m/m plunge in orders for nondefense aircraft & parts, following a 167.4% surge in April and a 23.0% slump in March. Orders for defense aircraft & parts rose 7.9% (63.5% y/y), the fourth successive m/m increase, after gains of 2.5% in April and 23.7% in March. Orders excluding aircraft climbed 1.0% (9.8% y/y), the six straight m/m rise and the 10th in 11 months, after a 1.3% April increase.

Durable goods orders for transportation dropped 14.0% (-22.1% y/y) in May, the first m/m decline since February, following a 22.4% gain in April. In addition to May’s m/m plunge in nondefense aircraft orders and increase in defense aircraft orders, motor vehicles & parts orders rose 1.1% (12.4% y/y), the sixth straight m/m rise, after a 0.7% April increase. Orders for primary metals advanced 3.0% (15.9% y/y), the largest of six successive m/m gains, after a 2.6% April rise. Machinery orders climbed 1.9% (14.0% y/y), up for the 13th straight month, on top of a 1.3% April rise. Orders for fabricated metal products grew 1.5% (11.2% y/y), the third m/m increase in four months, following a 4.1% April gain. Orders for all other durable goods rose 0.8% (3.2% y/y), the strongest of nine consecutive m/m increases, after a 0.1% April uptick. Orders for computers & electronic products rebounded 0.3% (13.3% y/y), the eighth m/m gain in nine months, following a 0.4% April decrease. Orders for electrical equipment, appliances & components recovered 0.3% (5.8% y/y), the second increase in three months, after a 0.2% April decline.

Capital goods orders fell 13.6% (-21.1% y/y) in May, the first m/m fall in three months and the deepest since June 2025, following a 22.2% jump in April. Nondefense capital goods orders dropped 15.7% (-26.4% y/y), the fifth m/m decrease in six months, after a 24.9% April rebound. Core capital goods orders (i.e., nondefense capital goods orders excluding aircraft) rose 1.6% (10.5% y/y), the third m/m gain in four months, reversing a 0.7% April decline. Defense capital goods orders slid 3.4% (+14.4% y/y), the first m/m slide since January, after a 10.4% April gain. Notably, core capital goods shipments (core capex shipments)—a reliable coincident indicator of business spending on equipment in the national accounts—rose 0.3% (7.6% y/y), the eighth m/m rise in nine months, after a 0.5% April increase.

Shipments of all manufactured goods climbed 1.6% (8.9% y/y) in May following a 1.3% gain in April. Durable goods shipments rose 1.0% (8.9% y/y) after a 0.7% April increase. Nondurable goods shipments advanced 2.2% (9.0% y/y), building on a 1.9% April gain. All three series posted the sixth consecutive m/m increase.

Unfilled orders of durable goods rose 0.6% (8.5% y/y) in May, the 10th straight m/m rise, after a 1.8% gain in April. Excluding transportation, unfilled orders increased 0.9% (4.3% y/y), also up for the 10th consecutive month, following a 0.7% April rise.

Manufacturing inventories edged up 0.2% (1.9% y/y) in May, the seventh successive m/m gain, after a 0.3% rise in April. Durable goods inventories grew 0.2% (2.1% y/y), the eighth straight m/m increase, after rising 0.3% in April and March. Nondurable goods inventories, up for the fourth consecutive month, rose 0.3% (1.6% y/y), matching April's pace.

Manufacturers’ orders and shipments of durable and nondurable goods, along with unfilled orders and inventories, are compiled by the U.S. Census Bureau. They are available in Haver’s **USECON** database. The Action Economics forecast data are in the **AS1REPNA** database.

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- May headline orders -4.5% m/m, first fall in three mths.; -3.5% y/y, first negative reading since Dec. ’24.
- Nondefense aircraft & parts -51.8% m/m vs. April’s +167.4%.
- Transportation orders -14.0%, first m/m drop since Feb.; orders ex transp. +1.3%, 13th straight m/m rise.
- Core capital goods shipments +0.3%, eighth gain in nine mths., pointing to a moderate contribution to Q2’26 GDP from business equipt. spending.
- Durable goods shipments +1.0%; unfilled orders +0.6%; inventories +0.2%.

U.S. Durable Goods Orders Drop in May on Nondefense Aircraft Weakness

Sandy Batten

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Q1 2026 real GDP growth was revised up to 2.1% q/q saar in the third estimate from 1.6% in the second estimate, slightly eclipsing the 2.0% advance estimate, according to figures released by the Bureau of Economic Analysis today. The Action Economics Forecast Survey looked for a slight upward revision to 1.7%. The major factor behind the upward revision was a large downward revision to import growth to 11.8% from 21.1% in the second estimate. The downward revision in imports was accompanied by a much smaller downward revision in export growth (10.9% versus 13.1%), leading to a meaningful downward revision to the trade deficit. Accordingly, net exports subtracted 0.4%-point from overall GDP growth in Q1, down markedly from -1.3%-point in both the second and advance estimates. The BEA stated that the downward revision to imports was widely spread—in goods (led by imports of consumer goods ex food and autos) and services (led by international travel).

The other revision of note was to personal consumption expenditures where the Q1 growth was revised down to 0.4% q/q saar from 1.4% in the second estimate and 1.6% in the advance report. The downward revision was entirely in consumption of services with small upward revisions to consumption of goods. The growth of services consumption was lowered markedly to 0.5% from 1.8% in the second estimate and 2.1% in the advance report. The BEA stated that the revision primarily reflected downward revisions to financial services and insurance (led by portfolio management and investment advice), based on newly available and updated data from the U.S. Census Bureau’s Quarterly Services Survey.

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Growth of total fixed investment was little revised to 6.5% q/q saar from 6.4%. This reflected an upward revision to nonresidential fixed investment growth to 10.6% from 10.1% in the second estimate and a downward revision in residential investment growth to -7.8% from -6.3%. Growth of government spending was unrevised at 4.4%. The decline in inventories was revised slightly smaller with inventories adding 0.2%-point to overall growth versus 0.1%-point in the second estimate.

With growth in both imports and personal consumption expenditures being revised down, private domestic demand growth (final sales to private domestic purchasers, a favored gauge of demand by the Federal Reserve) was revised down meaningfully to a still-solid 1.7% q/q saar from 2.4% in the second estimate and 2.5% in the advance report.

The GDP data can be found in Haver’s **USECON** and **USNA** databases. **USNA** contains virtually all of the Bureau of Economic Analysis detail in the national accounts. The Action Economics consensus estimates can be found in **AS1REPNA**.

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- Q1 GDP growth was unexpectedly revised up to 2.1% q/q saar in the third estimate, up from 1.6% in the second estimate and inching past the 2.0% advance estimate.
- A meaningful downward revision to imports was the primary factor behind the upward revision, leading to a much smaller subtraction from net exports.
- Personal consumption expenditures growth was revised down to 0.5% q/q saar, the slowest pace since Q1 2022, due mostly to a downward revision to household spending on financial services and insurance.
- With the downward revision to import demand and PCE, domestic demand growth was revised down meaningfully to 1.7% q/q from 2.4%.

Unusually Large Upward Revision in Third Estimate of U.S. Q1 2026 Real GDP Growth

Robert Brusca

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German consumer climate, as measured by the GfK survey for the month ahead of July, posted a reading of -29.2, a slight improvement from -29.7 in June. This is the second consecutive monthly improvement, slight though it may be, in the reading for climate. The ranking of this reading on data back to 2002 finds that it has been weaker only about 4% of the time on this timeline. The reading for climate remains extremely weak in Germany, despite the slight up-creep over the past couple of months.

The components for the climate index are up to date only through June. On that basis, there was a small increase in economic expectations, a small increase in income expectations, and a smaller decline in the rating for the propensity to buy, a consumer spending metric. The reading for economic expectations in June has a 22.4 percentile standing, the reading for income has a 14.6 percentile standing, and the reading for the propensity to buy has a 23.8 percentile standing. All three of these metrics have readings that are in the lower quartile of their range of readings back to 2002. The headline reading is substantially weaker in its ranking than the three components; however, these are for different timelines—the headline is for July, while the components are for June. The weaker climate standing may simply reflect the confluence of the weak readings for these three components, marking that as a more unusual event than the stand-alone rankings of each one by itself.  In any event, there is little in the German survey to give much confidence that conditions in Germany are significantly improving, let alone getting better.

The table also includes consumer confidence readings for other EU members, specifically Italy and France, as well as for the nonaligned United Kingdom. Italy's reading is up to date as of May, while the French and U.K. readings are up to date as of June. The recent Italian reading ticked up slightly, from 90.8 in April to 93.4 in May. The May reading for Italy has a 60.3 percentile standing, much better than the readings for the German headline, France, or the U.K. The French reading, at 84, is improved from 82.4 in June but still has only a 6.8 percentile standing, an extremely weak standing comparable to the headline standing for German climate. The U.K. reading is stuck at -23 for two months in a row, which produces a 26.9 percentile standing, another weak reading and a near 25-percentile low reading for the U.K.

These various readings span months ending in May, June, or July; the signals they emit are consistent that consumer confidence is quite weak in Europe—extremely weak in Germany and France, quite weak in the U.K., and only Italy produces a number where the ranking is above its 50th percentile, putting it above its historic mean of readings over data back to the year 2002. Italian consumer confidence readings have tended to be more resilient than those of other countries recently.

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**Summing up**
The bottom line is that consumer confidence in these selected European countries is extremely weak. There's no evidence of a rebound and little evidence that conditions are improving in a significant way. The conditions in Ukraine haven't changed much in recent months, although there are some indications that Ukraine has been gaining somewhat of an upper hand, while in the Middle East, circumstances regarding the war with Iran and the state of the Strait of Hormuz continues to be touch-and-go. In this environment, it's not surprising that consumers remain on their back foot. However, the extreme degree of consumer unrest remains surprising.

Germany

German Confidence Edges Up but Remains in Deep Doldrums

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New single-family home sales unexpectedly fell 7.3% m/m (-6.8% y/y) to a seasonally adjusted annual rate of 580,000 units in May following an upwardly revised 5.7% decline to 626,000 in April (initially -6.2%, 622,000) and an upwardly revised 5.4% increase to 664,000 in March (previously +3.4%, 663,000), according to data from the U.S. Census Bureau. The Action Economics Forecast Survey had expected May sales of 640,000. May marked the lowest level since January, down 23.4% from a high of 757,000 in November 2025 but up 8.4% from a low of 535,000 in July 2022. The May decline coincided with a rise in the average 30-year fixed mortgage rate to 6.44%, the highest since August 2025, from 6.33% in April, according to Freddie Mac.

Regionally, May new home sales showed a mixed performance. Sales in the West plummeted 26.9% (-17.0% y/y) to 117,000 in May, a seven-month low, reversing a 19.4% rebound to 160,000 in April. Sales in the South fell 4.1% (-5.4% y/y) to 350,000, the lowest level since January, on top of an 11.4% April drop to 365,000. In contrast, sales in the Midwest recovered 16.2% (-3.7% y/y) to 79,000, the third m/m gain in four months, after a 20.0% April plunge to 68,000. Sales in the Northeast increased 3.0% (17.2% y/y) to 34,000, the highest level since December, following a flat reading in April and a 73.7% surge in March. Notably, the South remained the dominant region, accounting for 60.3% of total U.S. new home sales.

The median sales price of a new home rose 2.0% (0.0% y/y) to $424,900 in May, the highest since December, following a 6.0% rise to $416,500 in April and three consecutive m/m decreases. The median sales price was 6.9% above a low of $397,600 in November 2024 but 7.7% below its record high of $460,300 in October 2022. The average sales price of a new home climbed 7.8% (5.0% y/y) to $540,600, the first m/m increase in three months and the highest level since July 2022, following a 1.3% April decline to $501,400. The average price was 13.7% above a low of $475,600 in August 2024 and just 0.1% below a peak of $541,200 in July 2022. These sales price data are not seasonally adjusted.

The number of unsold new homes on the market grew 2.3% (-1.4% y/y) to 496,000 in May, the third m/m rise in four months and the highest level since July 2025, after a 0.8% rebound to 485,000 in April. The latest figure was 17.0% above a low of 424,000 in May 2023. The seasonally adjusted months' supply of new homes for sale rose to 10.3 months in May from 9.3 months in April, remaining above a low of 6.9 months in May 2023 and matching a high last seen in July 2022.

The median number of months a new home stayed on the market increased to 3.7 months in May, the highest since July 2021, from 3.6 months in April. The latest reading was above its record low of 1.5 months in September and October 2022 but well below a peak of 5.1 months in March 2021. These figures date back to January 1975.

New home sales are recorded when the sales contract is signed. New home sales activity and prices are available in Haver's **USECON** database. The consensus expectation figure from Action Economics is available in the **AS1REPNA** database.

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- Sales -7.3% m/m (-6.8% y/y) to 580,000 in May; down 23.4% from a November high.
- Sales m/m down in the West (-26.9%) and South (-4.1%); up in the Midwest (+16.2%) and Northeast (+3.0%).
- Sales y/y down in all regions except the Northeast (+17.2%).
- Median sales price +2.0% m/m to $424,900, a 5-month high; avg. price +7.8% m/m to $540,600, highest since July ’22.
- Months' supply up to 10.3 mths., highest since July ’22.

U.S. New Home Sales Unexpectedly Hit a Four-Month Low in May

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The US current account balance, which consists of international trade and income flows, deteriorated slightly in the first quarter, moving to a deficit of $226.8 billion versus a shortfall of $221.1 billion in the fourth quarter of last year (chart, upper left). Trade flows moved slightly in favor of the US, as the deficit narrowed by $11.6 billion to $165.8 billion, with trade in both goods and services contributing to the improvement. The latest reading on the trade deficit was among the best of the post-pandemic period (chart, upper right).

The improvement in trade was more than offset by softening in both primary income and secondary income. Primary income consists of net receipts of both investment income and employee compensation, with net flows defined as receipts of US residents from abroad less US payments to residents in foreign countries. Net investment income is by far the larger of the two components of primary income, and it accounted for nearly all the slippage in primary income, dropping $17.0 billion to -$7.8 billion. The shift pushed net investment income back into negative territory after a quarter in the plus column (chart, lower left). Employee compensation moved in favor of the US by 4.0%, but given the small size of employee compensation, the improvement represented an insignificant offset to the slippage in investment income.

Secondary income consists of transfer payments (payments made without receiving something of economic value in return); examples include personal remittances (foreign workers sending funds to families in their home countries), charitable donations, taxes, fines, and penalties. Payments made by US residents have always exceeded payments received, leaving a regular deficit in secondary income. This component of the current account slipped 1.3% in Q1, but it remained within the range of observations over the past year.

Annual revisions to the current account were notable, as both the trade balance and the balance on primary income were revised to show deeper deficits. The quarterly average trade deficit for 2025 now totals $233.0 billion versus a previous estimate of $227.9 billion. Primary income now shows a quarterly average deficit of $11.9 billion for 2025 versus a surplus of $3.2 billion.

The shift to a deficit position in primary income in 2025 is not shocking, as previously estimated positive readings on average in 2025 (and prior years) were surprising in light of the international investment position of the US. Foreign investors hold far larger amounts of US assets than US investors hold of foreign assets (chart, lower right). That is, the US has a deficit in investment holdings. However, despite the differential in asset holdings, US investors typically earned higher rates of return on their foreign investments than foreigners earned on their US investments. Although the gap in asset holdings has been large, the higher returns earned by US investors left net investment income positive. Revised data now suggest that the net international investment position of the US has slipped to such a degree that higher rates of return will no longer offset the differential in asset holdings. Positive quarterly readings on net investment income might be apparent at times (such as 2025-Q4), but net investment income (and primary income in total) will probably be negative in most coming quarters.

Balance of Payments data are in Haver’s **USINT** database, with summaries available in **USECON**. The expectations figure is in the **AS1REPNA** database.

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- Improvement in the trade balance offset by weaker net investment income.
- Annual revision showed wider deficit in 2025.


Q1 Current Account: Modest Slippage in Early 2026

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**PMIs in June mark some progress**
The PMI report from S&P shows modest firming in conditions in June, even with the Middle East situation unresolved.

**Monthly:** The median reading for the 8 reporting countries or regions rose to 50.8 in June from 50.1 in May. Manufacturing improved to 52.7 from 52.4, while the services reading rose to 50.3 from 49.6, leaving a month of mild contraction behind.

**Most show June improvement:** Most countries or regions improved in June; the exceptions were Germany, the United Kingdom, and India, which were weaker. India was dragged down by a weaker service sector reading in June; the U.K. and Germany showed weakening conditions across the board for the composite index, the manufacturing sector, and services. On the other side of the coin, France, Japan, Australia, and the U.S. all showed improvement in each of three sectors: the composite, manufacturing, and services, in June compared to May.

**Sequentially still mixed:** The broader sequential readings show ongoing weakness, but these are derived from hard data and lag the monthly observations in the table that include preliminary flash estimates. All the composite readings weakened based on three-month averages except for India. However, seven of eight reporting areas showed improvement in manufacturing over three months compared to six months; the exception was Australia. Over six months, conditions are mixed, with four composite readings weaker compared to 12 months and with four stronger. However, over six months, all eight manufacturing sectors improved compared to 12 months. The 12-month readings are consistently stronger than their readings of 12 months ago. The only composite that's weaker is the U.S., while the services sectors in the monetary union, Germany, France, and the U.S. are weaker than they were 12 months ago.

**Standings are weak:** The queue percentile standings evaluate the current diffusion index in June compared to where it has been since January 2022, a period of about 4½ years. The queue standings show weakness up and down the line, with the exception of the manufacturing sector; that has the standing above its historic median in the monetary union, Germany, France, the U.K., the U.S., and Japan. Only Australia and India show manufacturing sectors whose current monthly standings are below their medians of the last 4½ years. In addition, Japan has a strong composite reading at its 81st percentile. Overall, the services sectors are weak and below their 50% standing every place, and below that mark by a large margin, except for Japan, where the services sector has a 47th percentile standing, only a few ticks below its median.

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**Summing up: A glimmer of hope but still a lot of weakness**
Manufacturing is stronger sequentially over three months, six months, and 12 months for every reporter except for Australia over three months. The rest of the report is not very impressive. There is some rebound in June, but here we're talking about volatile monthly data. The services sectors still show sequential weakness over 12 months, six months, and three months in the European Monetary Union, Germany, France, and the U.S. The U.K. and Japan showed three-month and six-month weakness as well. That’s too much weakness in the key job creation sector to think that this report is a positive signal.

S&P PMIs in June Firm

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Total job openings edged up 0.1% m/m (+3.9% y/y) to 7.594 million in May from a downwardly revised 7.585 million in April (previously 7.618 million), according to the Job Openings and Labor Turnover Survey. Even with only a small rise, the level of openings in May was the highest since May 2024. Accordingly, the job openings rate (the ratio of openings to nonfarm employment plus openings) was unchanged at 4.6% in May. The April and May readings for the job openings rate were the highest since November 2024. In May, the number of unemployed fell while the number of openings edged up. Consequently, the number of openings rose further above the number of unemployed for the second consecutive month, another sign that previously observed softening in labor market conditions may be reversing.

Private sector openings were essentially unchanged in May from April, edging up 2,000 (+4.3% y/y) with the private job openings rate unchanged at 4.8%. The sluggishness in private openings in May was due entirely to a 119,000 decline in private education and health care openings. However, this followed a total increase of 298,000 in March and April. Openings increased in all other major sectors, led by a 95,000 increase in openings in leisure and hospitality. Openings were up 32,000 in construction, 33,000 in manufacturing, and 37,000 in trade and transportation. Total government openings rose 7,000 in May after an upwardly revised 63,000 jump in April (previously +47,000).

Total hiring slipped 0.9% m/m (-3.0% y/y) to 5.170 million in May from an upwardly revised 5.215 million in April (previously 5.116 million). This was the third monthly decline in hiring in the past four months. The hiring rate was unchanged in May at 3.3%. Private sector hiring fell 1.6% m/m (-3.5% y/y) in May, also the third monthly decline in the past four months. The weakness in hiring in May was concentrated in trade and transportation (-56,000) and in construction (-24,000). Manufacturing posted a small decline while professional and business services, and private education and health care posted small increases. Leisure and hospitality hiring rose 15,000, the second monthly increase in the past three months. Total government hiring increased 32,000 in May.

Total separations increased 1.3% (-3.5% y/y) to 5.101 million in May from an upwardly revised 5.038 million in April (previously 4.978 million). Both quits (+22,000) and layoffs (+41,000) increased in May with no change in other separations. The separation rate in May was unchanged at 3.2%. Private separations also rose 1.3% m/m (+62,000, -2.9% y/y) in May. Private quits increased 37,000, private layoffs rose 27,000, while other private separations declined 2,000. The rise in private layoffs was concentrated in construction (+47,000), trade and transportation (+52,000), and private education and healthcare (+52,000). Layoffs declined 18,000 in manufacturing, fell 37,000 in professional and business services, and decreased 50,000 in leisure and hospitality. Even with the rise in private quits in May, they have been trending down in 2026, implying that workers are feeling less comfortable with their employment prospects and hence are choosing to remain in their current jobs.

On the whole, employers remain cautious in hiring. Furthermore, workers are sufficiently unsure of their alternative employment prospects that they are refraining from leaving their current position. Still, openings have gradually risen since the end of last year after having gradually fallen throughout 202 and once again exceed the number of unemployed.

The Job Openings and Labor Turnover Survey (JOLTS) data are available in Haver’s **USECON** database.

- Openings edged up 9,000 but to the highest level since May 2024.
- However, hiring fell 45,000 for the third monthly decline in the past four months.
- Separations rose 63,000 with increases in both quits and layoffs.

U.S. JOLTS: Openings and Hiring Little Changed in May

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