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.

icon-chart.png

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)

Complete graph customization (axis scaling, sizing, formatting, styles)

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

DLXVG3

icon-db.png

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

icon-time.png

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

Timer service runs continuously on an hourly basis when DLX is running

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

Timely Updates

DLX software tools to convert data into many different formats needed for diverse analytical frameworks

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

Database Compatibility

products-dlx.svg

Data Link Express

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

products-haverview.svg

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
- Store data in financial time-series objects to simplify data management, data transformation, missing-data handling, and date-math calculations
- 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

products-matlab.svg

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.

products-stata.svg

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.

products-sas.svg

[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.

products-rats.svg

RATS

Session 1: Bootcamp Part 1

Visualization with GGPlot2 and data analysis

Session 2: Bootcamp Part 2

Session 3: Univariate Models Part 1

Session 4: Univariate Models Part 2

Session 5: Vector Autoregressions

Session 6: Cointegration and error-correction models

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

products-r.svg

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

Session 6: Multivariate Models Part 2

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

products-python.svg

Remote Training: Applied Time Series in Python

Tom Moeller

251107F5.jpg

251107G5.jpg

Consumer credit outstanding increased $13.1 billion (2.3% y/y) in September after rising $3.1 billion in August, revised from $0.4 billion, and $17.7 billion in July, revised from $18.1 billion. A $10.0 billion rise had been expected in the Action Economics Forecast Survey.

Nonrevolving credit outstanding rose $11.4 billion (2.1% y/y) in September after increasing $9.2 billion in August, revised from $6.3 billion, and increasing $6.7 billion in July, revised from $6.9 billion. Nonrevolving credit held by depository institutions declined 6.8% y/y in September after falling 7.4% y/y in August. Finance company debt holdings fell 1.5% y/y after declining 1.3%, while credit union holdings rose an increased 12.8% y/y in September, the quickest growth since in two years. Nonrevolving debt of the federal government rose 3.6% y/y in September, the same as in August.

In September, revolving credit outstanding, which includes credit cards, rose $1.7 billion (2.6% y/y) after falling $6.1 billion in August, revised from a $6.0 billion decline, and rising $11.0 billion in July, revised from $11.2 billion. Revolving credit outstanding held by depository institutions fell 3.0% y/y. Revolving credit held by finance companies fell a steady 14.7% y/y in September, while credit union debt rose 4.5% y/y in September, up from 3.7% y/y in August.

The consumer credit figures from the Federal Reserve Board are break-adjusted and calculated by Haver Analytics. The breaks in the series in 2005, 2010 and 2015 are the result of the incorporation of data from the Census and the Survey of Finance Companies, as well as changes in the seasonal adjustment methodology. The consumer credit data are available in Haver’s **USECON** database. The Action Economics forecast figures are contained in the **AS1REPNA** database.

**AI and the Economy** is the title of today’s speech by Federal Reserve Vice Chair Philip N. Jefferson and it can be found [here](https://www.federalreserve.gov/newsevents/speech/jefferson20251107a.htm).

251107H5.jpg

251107I5.jpg

- Notable gain in credit usage follows prior month’s slowdown.
- Nonrevolving credit usage strengthens and revolving turns positive.

U.S. Consumer Credit Strengthens in September

251107A2.jpg

251107D2.jpg

The Industrial Materials Price Index from the Foundation for International Business and Economic Research (FIBER) eased 0.1% during the four weeks ended November 7, 2025 after improving 0.3% in the prior four-week period. The index increased 0.5% y/y following a 0.8% y/y gain at the end of October.

Prices in the **Textile** group increased 2.5% during the last four weeks and rose 3.3% y/y. The cost of burlap increased 23.8% in the last four weeks while surging 48.1% over the last year. Showing modest improvement, cotton prices rose 0.9% in four weeks but declined 5.6% y/y.

**Metals** group prices increased 1.5% (5.9% y/y) in the last four weeks as the cost of aluminum rose 4.9	% (10.3% y/y). Zinc prices moved up 3.6% (5.4% y/y) and the cost of steel scrap rose 1.4% (-5.9% y/y). Lead prices increased 1.1% (-0.2% y/y) in four weeks and the cost of copper scrap rose 0.6% (13.9% y/y). Working lower, tin prices declined 2.2% (+13.8% y/y) in four weeks.

**Miscellaneous** group prices weakened 2.9% in the last four weeks and were off 1.0% y/y, as framing lumber prices fell 11.3% (-4.3% y/y). The cost of tallow, used for frying & baking, declined 9.0% (+10.5% y/y) in four weeks. Offsetting this weakness, natural rubber prices rose 2.0% in four weeks, but were off 6.6% y/y.

Prices in the **crude oil & benzene** group declined 1.6% (-10.8% y/y) in the last four weeks. The cost of West Texas Intermediate crude oil fell 2.2% in four weeks to $60.31 per barrel and declined 15.6% y/y. The price was increased from a low of $58.47 in the third week of last month. The price of the petro-chemical benzene fell 3.8% (-23.2% y/y) in four weeks.

**Excluding crude oil**, the industrial commodity price index was unchanged (+1.5% y/y) over the last four weeks after rising 0.5% during the prior four weeks.

The Foundation for International Business and Economic Research (FIBER) develops economic measurement techniques as applied to business cycles and inflation in the U.S. and other market economies. The commodity price data can be found in Haver's **DAILY**, **WEEKLY**, **USECON** and **CMDTY** databases.

251107C2.jpg

251107B2.jpg

- Textile and metals prices strengthen.
- Framing lumber costs plummet.
- Crude oil prices weaken.

FIBER: Industrial Commodity Price Index Moves Sideways in Latest Four Weeks

Robert Brusca

251107E.jpg

The chart provides a good overview for German trade trend. The table breaks trade trends down by categories and provides growth rates on shorter horizons of 3 months, 6 months and 12 months. But the chart depicts the overarching trends well. It shows the German surplus being diminished on a gradual path and not altogether in a clear monotonic fashion. Export and import lines on the chart move mostly sideways (horizontal). The export line is below the import line since late last year. These two series plots on the right-hand scale and they depict growth rates (year-over-year). So sideways movements mean roughly steady growth. Exports have been growth steadily year-over-year at a weak pace that on occasion has been a decline in terms of their year-on-year value. Generally, the green line is in positive territory. The red import line has been stronger, indicating somewhat better, steadier import growth over the period.

While exports had a good September, export growth sequenced from 12-months to 6-months, to 3-months has been weakening. Imports also put in a strong September but are showing some erosion from 12-month to 6-months to 3-months in terms of annualized rates of growth. Still, import growth rates remain quite strong and consistent; the sense of erosion is clear but also moderate – it’s a moderate erosion in progress for imports.

Capital goods exports from Germany are improving- this observation is based on lagged data with a one-month lag built in. But consumer goods and vehicle exports are slowing and rather sharply- likely as a result of U.S. tariffs.

Import side trends, with the same lag, are not as clear cut. Capital goods imports are growing, and motor vehicle imports are improving and accelerating. Consumer goods imports have erratically slowed.

Real exports and imports on sequential lagged data show exports contracting on most horizons while imports generate consistent positive growth in real terms. There is a big difference in these two trends expressed in real terms.

On balance, German trade trends are shifting. The trade balance is gradually eroding. Change is in play.

251107.jpg

Germany

German Trade Surplus Shrinks Despite Strong Exports

Andrew Cates

**The global growth cycle**
The new orders-to-inventory spread in the global manufacturing PMI is often been viewed as one of the most reliable forward-looking indicators of the global economic cycle. When new orders are rising relative to inventories, it typically signals that demand is firming, production pipelines are beginning to refill, and industrial momentum is building. Conversely, when inventories accumulate faster than orders, it often foreshadows a slowdown. As the chart shows, this spread has been holding up relatively well in recent months, suggesting that despite ongoing headwinds—US tariff policies, uneven global demand, and geopolitical uncertainty—the underlying pulse of global manufacturing remains resilient.

251106Z1.jpg

**US credit standards**
The latest Senior Loan Officer Opinion Survey (SLOOS) from the Federal Reserve suggests that credit conditions remain tight but are no longer worsening, marking a tentative stabilization after several quarters of tightening. Banks reported modest easing in standards for some categories of corporate and commercial real estate loans, though mortgage lending remains constrained. Demand for business credit continues to soften, reflecting both higher borrowing costs and a cautious corporate outlook. Historically, periods of widespread tightening—like those seen in 2008 and 2020—have coincided with sharp rises in the private sector savings balance (a proxy for deleveraging), as firms and households retrench simultaneously. The current configuration, shown in the chart, indicates lingering deleveraging pressures, but not a collapse in credit availability.

251106Z2.jpg

**China**
Moving to China, the latest official and Caixin PMI releases for October painted a mixed picture of activity. Both manufacturing indices softened, suggesting that the industrial rebound which underpinned much of China’s recent growth may be losing some traction. The official non-manufacturing PMI, by contrast, edged higher, hinting at continued resilience in construction and public-sector-linked services, while the Caixin services measure—which tends to reflect smaller, private-sector firms—slipped modestly. The divergence underscores China’s two-speed recovery: industrial production and exports have carried the economy, while household spending and smaller enterprises remain subdued. If manufacturing momentum fades in the coming months, the economy could face a renewed loss of balance, with fewer reliable growth engines. Still, overall performance this year has surpassed expectations, and the government’s 5% growth target remains within reach, provided activity holds steady through year-end. Looking ahead, marginal policy support and improved external sentiment—helped by selective tariff relief from the US—could offer limited, though welcome, cushioning.

251106Z3.jpg

**Australia** 
In Australia, the RBA left the cash rate unchanged at its November meeting, maintaining a cautious stance amid a still-complex inflation and growth backdrop. The case for further easing has become less compelling as core inflation (trimmed mean CPI) remains above target and labour market conditions—while gradually softening—continue to show resilience. The unemployment rate has edged higher but remains low by historical standards, consistent with lingering wage and services price pressures. Recent data also hint at a tentative pickup in activity, supported by strong population growth and stabilising commodity exports. Against that backdrop, the RBA has stressed that the path for policy remains finely balanced, with a strong focus on incoming inflation data and global financial conditions. While downside risks persist—particularly from China’s slowdown and weak global trade—the persistence of domestic price pressures means the bar for renewed rate cuts remains relatively high.

251106Z4.jpg

**Argentina**
Turning to Argentina, markets continue to digest the implications of President Milei’s midterm election victory amid deepening economic and financial imbalances. The peso’s broad nominal effective exchange rate has remained under heavy pressure, extending its long-running slide as investors weigh the challenges of implementing fiscal consolidation and monetary reform in a fragile political and social environment. In stark contrast, the Buenos Aires stock index has surged to record highs, reflecting optimism that Milei’s reformist agenda—anchored in deregulation, privatisation, and fiscal restraint—may eventually stabilise the economy and attract renewed capital inflows. The divergence between a falling currency and soaring equity prices highlights the tension between near-term macro risks and longer-term reform hopes. Going forward, investor confidence will hinge on the government’s ability to deliver credible policy execution while managing the inflationary fallout from ongoing peso weakness.

251106Z5.jpg

**Global CO2 emissions**
Shifting focus to more structural issues, the chart underscores how decarbonisation challenges remain deeply concentrated in a few heavy-emitting sectors. Energy production alone accounts for nearly 40% of global CO₂ emissions, with manufacturing, households, and transport together contributing another 50%. This composition highlights the complex trade-offs of the energy transition: the very sectors that underpin modern living standards—power generation, industrial output, mobility, and housing—are also those most difficult to decarbonise. Climate change is therefore not just an environmental issue but a structural economic one, shaping investment, infrastructure, and pricing systems for decades to come. The tension between sustaining growth and cutting emissions will remain a defining challenge for policymakers, particularly as clean technologies face constraints in scaling fast enough to offset rising global demand for energy-intensive goods and services.

251106Z6.jpg

Recent financial market developments have been shaped by a renewed bout of volatility, with heightened concerns about stretched AI valuations triggering a big correction across parts of the tech sector. This comes against a backdrop of lingering uncertainty in Washington, where the US government shutdown has continued to delay the release of several key economic reports, clouding visibility on near-term momentum. Still, the broader macro signals offer a mixed but nuanced picture. Global manufacturing PMIs have continued to hold up, hinting that underlying industrial momentum remains resilient (chart 1). The latest US Senior Loan Officer Survey points to a stabilisation in credit conditions—banks remain cautious, but the most intense phase of tightening may have now passed (chart 2). In China, the October PMIs reflected renewed softness in manufacturing alongside a still-steady services sector, tentatively suggesting that growth may be rebalancing, albeit at a weaker aggregate pace of growth (chart 3). Australia’s inflation and labour market data, meanwhile, have complicated the case for near-term policy easing, with the RBA opting to stay on hold this week as core inflation remain sticky. In Argentina, currency weakness persists even as equity markets rally, highlighting the policy and market tension surrounding President Milei’s reform agenda (chart 5). And finally, at a more structural level, latest global emissions data serve as a reminder that energy, manufacturing, transport, and households remain the principal sources of CO₂—illustrating how the climate and energy transition will continue to shape the macro landscape well beyond the current economic cycle (chart 6).

Charts of the Week: Uneven But Unbroken

251106A8.jpg

251106B8.jpg

Initial claims for unemployment insurance fell 12,643 during the week ended October 25 to 219,520 (+0.6% y/y) and mostly reversed the prior week’s increase to 232,163. The four-week moving average of initial claims eased to 226,766 from 227,953. They have trended higher this year, after weakening late in 2024. The four-week average hit a low of 200,323 in January 2024.

Federal government employees initially filed 9,435 jobless insurance claims last week after 10,062 in the prior week. These figures are increased from 588 at the end of September.

Continuing claims for unemployment insurance rose to 1.957 million (5.5% y/y) in the week ended October 18 from 1.947 million in the prior week. The four-week moving average rose to 1.940 million from 1.931 million. It was the highest level since the last week of August.	

Federal government employees continuing benefits rose to 23,188 in the week ended October 18 from 14,472 in the prior week. These figures are increased from 8,680 at the end of September.

The insured unemployment rate varied greatly across individual states and territories. In the week ended October 18, the highest unemployment rates were in New Jersey (2.14%), Washington (2.03%), California (1.93%), Massachusetts (1.84%), the District of Columbia (1.86%) and Connecticut (1.70%). The lowest were in South Dakota (0.25%), Florida (0.36%), North Carolina & Louisiana (0.41%), Nebraska (0.44%) and Virginia (0.49%). Rates in other notable states include New York (1.51%), Illinois (1.50%), Pennsylvania (1.39%), and Texas (1.11%). These state data are not seasonally adjusted.

Data on weekly unemployment claims are from the Department of Labor itself, not the Bureau of Labor Statistics. They begin in 1967 and are contained in Haver’s **WEEKLY** database and summarized monthly in **USECON**. Data for individual states are in **REGIONW** back to December 1986.

251106C8.jpg

251106D8.jpg

- Decline in initial claims reverses earlier gain.
- Continuing claims move higher.
- State unemployment rates vary.

U.S. Initial Unemployment Insurance Claims Decline in Latest Week

Our global data offering is unparalleled in terms of coverage, quality, and organization. We offer 290+ databases from 2500 government and private sources, a wealth of key survey and forecast data covering the world’s economies, and a robust offering of archive databases that drive machine learning for big data applications.

Optimized for precision analytics, our data is seamlessly integrated with Microsoft Office and all leading statistical packages through our DLX® software and platform independent HaverView™ website. We further offer direct database feeds, client server or cloud-based delivery, and RESTful API.


Privacy Policy

Disclaimer

Contact us

A premier time series data platform for the global strategy, research, and quant communities. 

London

Singapore

Tokyo

New York

Economy in Brief

Viewpoints

Contact Us

Our Data

Our Products

What We Do

Our Authors

About Us

Data News

Resources

Release Calendars

Training Center

Webinars

Newsletters

Download Software

For Clients

Live Updates

Services PPI (Q3), Central Government Debt (Oct-Prelim)