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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[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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[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

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Estimating, evaluating, and forecasting ARIMA 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.

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Abdel M. Zellou, Ph.D.

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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

Global freight costs are on the rise while supply chain pressures are contained

Robert Brusca

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**Tankan overview:** Japan's Tankan report is an important quarterly assessment and outlook of the Japanese economy. Historically, the performance of manufacturers is considered to be the bellwether in this survey for performance of the economy. In the fourth quarter of 2025, the manufacturing index moved up to 15 from 14 in the third quarter. This compares to a value of 12 in the first quarter and a four-quarter average of 13.5. Since late-2006, the manufacturing index has averaged 5.3, marking the performance in 2025 as a substantial improvement from the long period where Japan struggled with deflation. On dated back to 2003, the manufacturing index has a standing in the queue of data in its 70.8 percentile, a reasonably firm reading. 

**Nonmanufacturers:** The index for nonmanufacturers logged a reading of 34 in the fourth quarter compared to 34 in the third quarter and a reading of 35 in the first quarter of 2025; the one-year average for nonmanufacturers is 34.3, marking that sector as little changed over the course of the year. Nonmanufacturing in the fourth quarter has an index standing at its 97.8 percentile, marking it as an extremely high standing on data back to late-2003. 

**Nonmanufacturing details:** Readings across the nonmanufacturing sector are above their respective one-year averages for all subsectors except transportation where the fourth quarter index backs down to 27 from an average of 30.5 and for restaurants & hotels that back down to a reading of 25 from an average of 39.3. The queue percentile standings for the subsectors show a good deal of strength with construction at a 98.9 percentile standing, services for businesses also at a 98.9 percentile standing, transportation - despite the back off from the average - is at a 94.4 percentile standing, and real estate and wholesaling are at 93.3 percentile standings on data back to 2003.  

**The Tankan outlook-** The survey also produces an outlook. For large manufacturers for the first quarter of 2026, the outlook metric moves up to 15 from what had been 12 for the fourth quarter of 2025. The outlook for nonmanufacturers is flat month-to-month at 28, the same as in the fourth quarter. The outlook for manufacturing has a queue standing in its 78.7 percentile on data back to 2003, while nonmanufacturing has a standing for the outlook reading at its 98.9 percentile marking these outlooks as quite good. 

**The BOJ is watching-** This is a survey the Bank of Japan will be looking at and assessing what policy should do and how strong the economy appears to be. On these data, the economy would appear to be firm, the outlook would appear to be solid, and if the Bank of Japan were to decide to pay more attention to inflation, the economy would seem to be in a position to absorb a rate hike without much difficulty.

**Other-sized enterprises-**
**Manufacturing:** The survey also produces results for medium-sized and small-sized firms, as well as outlooks for medium-sized and small-sized firms (that are not presented in the table). The fourth quarter assessments of performance, however, show improvements for manufacturing in both medium- and small-sized enterprises; they also show rankings of medium-sized firms in manufacturing in their 85th percentile, the same as for small sized enterprises. 

**Nonmanufacturing:** Nonmanufacturing for medium- and small-sized enterprises show improvements in the fourth quarter results and also demonstrates high rankings of those readings for those respective sectors.

**Summing up:**
On balance, it's a solid Tankan report for Japan's economy and should provide reassurance to the Bank of Japan and to the current government that the economy is on solid footing as each looks at the situation and tries to assess the best policy options. 

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Japan

Japan’s Tankan Ticks Higher for Large Manufacturers

Tian Yong Woon

This week, we assess Asia through a risk lens, given the recent flare-ups across the region. Japan–China tensions, following Japanese Prime Minister Takaichi’s recent remarks on Taiwan, have prompted some retaliatory measures from China, including travel advisories against visiting Japan. This raises the risk of a dent to Japan’s tourism income this year, given the significance of aggregate Chinese tourism expenditure (chart 1), although any such impact would come at a time when Japan is already grappling with the effects of overtourism. Beyond Japan–China relations, investors are also bracing for the Bank of Japan’s (BoJ) final scheduled policy decision of the year, where a rate hike is expected despite Takaichi’s pro-growth fiscal stance. This expectation reflects ongoing yen weakness (chart 2), alongside encouraging results from Japan’s Q3 Tankan survey, among other factors. While the anticipated hike is not, in itself, a risk, the associated increase in financing costs—coupled with the likelihood of higher government bond issuance to support growth objectives—adds to investor concerns.

Risks are also evident in China, particularly after the November data docket showed a continued deterioration in growth across multiple sectors (chart 3). While China’s 5% growth target for the year remains within reach, achieving it appears to hinge on a narrow set of growth drivers, notably trade. On this front, China has defied earlier investor concerns to record a substantial widening of its trade surplus this year, despite a worsening bilateral trade balance with the US (chart 4). However, while supportive of growth, this development risks drawing increased pushback from non-US trading partners that have been absorbing China’s excess capacity.

Elevated risks are also present elsewhere in Asia, particularly in Southeast Asia, where renewed military clashes between Thailand and Cambodia have once again pushed bilateral tensions to the fore (chart 5). Thailand additionally faces political uncertainty ahead of early elections, following Prime Minister Anutin’s dissolution of parliament last week. Lastly, we turn to semiconductor- and AI-related risks, which are especially pertinent to Asia given the dominance—and reliance—of Taiwan and South Korea in the sector. A key risk lies in the current extent of market optimism surrounding future AI-related earnings (chart 6), suggesting greater scope for disappointment than for further upside surprises.

**Japan-China tensions**
Geopolitics will likely remain front and centre in Asia heading into the new year,  with several flashpoints carrying the risk of broader regional spillovers. One such case is the recent flare-up in tensions between China and Japan, following new Japanese Prime Minister Takaichi’s parliamentary remarks on Taiwan. Since then, Chinese authorities have rolled out a series of measures — urging Chinese citizens to avoid travelling to or studying in Japan, reinstating an import ban on Japanese seafood, among others. While none of these steps are particularly substantial on their own, they underscore a rapidly deteriorating bilateral dynamic. The economic implications are not trivial. As shown in chart 1, spending by Chinese tourists has historically made up a significant share of Japan’s total inbound tourism receipts — roughly a quarter in recent quarters — with especially strong concentrations in certain regions such as Osaka. Although the absence of Mainland Chinese tourists has been keenly felt since tensions escalated, early indications suggest that increased arrivals from other countries have helped offset some of the shortfall. More recently, a series of close military encounters between China and Japan has further heightened concerns. The risk of miscalculation has grown, raising the possibility of an inadvertent escalation at a time when geopolitical sensitivities in the region are already elevated.


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**Japan**
Japan–China tensions aside, investors will also be focused on the Bank of Japan’s upcoming monetary policy meeting this week, the last of the year. After Governor Ueda’s recent remarks, markets are now expecting a 25 bps rate hike. This has been especially evident in the bond market, where yields have risen sharply in recent weeks (chart 2). The move partly reflects expectations of tighter policy, but also concerns Prime Minister Takaichi’s more expansionary fiscal stance. The recently submitted supplementary budget points to increased government bond issuance, adding supply pressure, weighing on bond prices, and pushing yields higher. The rise in yields also poses a risk when combined with increased bond issuance, as this implies higher financing costs for the government. A hike this month is still expected despite the government’s loose fiscal tilt, given yen weakness and recent readings of softer inflation. However, the outlook for any additional tightening beyond December remains uncertain. With the new year approaching and annual spring wage negotiations on the horizon, the BoJ will need further confirmation on wages and inflation before moving again. Meanwhile, the ongoing Japan–China frictions, while not yet generating major economic spillovers, remain a meaningful downside risk. Any material escalation could weigh on Japan’s outlook and complicate the case for further policy tightening.

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**China**
Moving to China, the latest monthly data point to a broad-based slowdown in growth in November. Year-on-year retail sales growth slowed to its weakest pace since 2022, while year-to-date year-on-year fixed asset investment growth fell to its lowest level since the outbreak of the COVID-19 pandemic in 2020 (chart 3). Industrial production growth also eased, albeit to a lesser extent. In addition, house price declines accelerated, reversing the easing trend seen in previous months. Overall, the latest data extend the pattern of deteriorating growth observed in recent months. That said, it remains to be seen whether the November readings will ultimately cause China to miss its 5% growth target for the year, given the substantial head start accumulated over the first three quarters. Moreover, China has enjoyed a bumper year in trade, which we discuss in the next section.

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Looking more closely at China’s trade performance, it has become clear that earlier fears of a trade-driven collapse in China’s growth have not materialised. Instead, China’s overall trade surplus has continued to widen, having topped $1 trillion this year, even as its bilateral surplus with the US has fallen sharply (chart 4). This suggests that China’s surplus expansion has been driven by other trading partners, which have effectively been absorbing China’s excess capacity. The stronger-than-expected trade outturn has also been a key factor behind the upward revisions to China’s GDP outlook for the year, with growth still on track to meet the 5% target barring any major setbacks. While this dynamic is not a direct risk in itself, surging exports to these partner economies could become problematic if domestic industries in the receiving countries are unable to absorb the inflow or begin to feel crowded out. Such pressures may eventually provoke a policy response. Still, it remains uncertain whether these countries — many of them smaller economies — would adopt measures similar to those taken by the US, given the asymmetric nature of their economic relationships with China.

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**Thailand-Cambodia tensions**
Moving beyond Japan and China, region-specific tensions elsewhere in Asia also warrant attention, though their broader impact remains limited. Notably, renewed military clashes between Thailand and Cambodia have resurfaced despite an earlier peace deal brokered by Malaysia and the US. While the likelihood of these clashes escalating into a wider regional conflict is low — given their primarily border-specific nature — external pressures on both countries remain a latent risk. The previous ceasefire appeared to have been secured only after US President Trump threatened to withhold trade deals unless fighting ceased, suggesting that a similar “carrot-and-stick” approach may be used again to encourage another ceasefire, although nothing is certain. Domestically, Thailand faces additional near-term uncertainties. Prime Minister Anutin must contend with a range of issues, including preparations for early elections following his dissolution of parliament just last week, adding another layer of unpredictability (chart 5). The Thai government’s popularity has also dipped recently, partly due to criticism over its handling of floods in southern Thailand.

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**Semiconductors and AI**
Lastly, we turn to semiconductor and AI-related risks in Asia. As in markets outside the region, this year’s tech rallies are increasingly seen as overextended (chart 6), with some arguing they have entered bubble territory. Many now believe that much of the upside in future earnings has already been priced in, leaving more room for disappointment than for positive surprises. Geopolitical and competitive considerations remain important too, as highlighted by the recent US approval to sell Nvidia’s high-end (though not top-tier) H200 chips to China. However, this approval may not generate the expected enthusiasm among Chinese consumers. If the reaction mirrors that seen after the earlier approval of Nvidia’s lower-end H20 chips, China may use these openings to promote domestic chipmakers such as Huawei. This could help local firms catch up to US peers and gradually reduce reliance on imported semiconductors. Also, if US chipmaker earnings disappoint due to a lukewarm reception of the H200 chips, while local Chinese chipmakers see increased upside potential, this could translate into a divergence in equity price trajectories between the sector’s stocks in the respective markets.

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Asia

Economic Letter from Asia: Balancing Risks

Tom Moeller

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The National Association of Realtors' Fixed Rate Mortgage Housing Affordability Index (HAI) improved 0.9% (3.6% y/y) to 106.2 in October after rising 4.7% in September, revised from 3.9%, following a 2.8% increase in August. The index level was the highest since February 2023. The level of home affordability was 18.1% higher than its low of 89.9 in October 2023, but 40.7% below the peak of 179.0 in April 2020.

The rise in October affordability occurred as the average mortgage rate fell to 6.33% from 6.43% in September. The fall in mortgage rates left them above their low of 6.26% in September of last year, though below a 7.70% high in October of 2023. They remained well above a December 2020 low of 2.73%. The median price of an existing single-family home rose 0.7% (2.2% y/y) to $420,600. That price compared to the record $438,600 in June 2025. In October, the principal plus interest payment eased 0.3% (+0.2% y/y) to $2,089 per month, down 9.6% from June’s record high of $2,311, but still well above the most recent low of $984 in February 2020. Monthly mortgage payments averaged a slightly lessened 23.5% of income during October, but remained well above a low of 14.0% of income in April 2020.

The change in housing costs in October was accompanied by a 0.5% rise (3.8% y/y) in median family income to $106,478 after falling 0.3% in September. Qualifying income declined 0.3% (+0.2% y/y) to $100,272, after falling for three straight months.

Housing affordability improved m/m in most of the country in October. The index in the Midwest, the country’s most affordable region, rose 1.5% (0.9% y/y) to 134.4. In the South, the index increased 0.7% (5.4% y/y) to 112.1, while the affordability index in the Northeast strengthened 1.1% (-1.4% y/y) to 93.7. Declining, however, was the affordability index in the West, where homes are the least affordable. The index eased 0.3% (+5.3% y/y) to 75.2 in October.

The Housing Affordability Index (HAI) equals 100 when a median-income borrower qualifies for an 80% mortgage on a median-priced existing single-family home. The HAI had exceeded 100 in each month since July 1990. It reached an all-time high of 213.3 in January 2013.

Data on Housing Affordability can be found in Haver’s **REALTOR** database. Median home sales prices are also available in **USECON**. Higher frequency interest rate data are found in **SURVEYS**, **WEEKLY**, and **DAILY**.

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- Mortgage rates continue to decline.
- Median income strengthens.
- Affordability improves in most of country.

U.S. Housing Affordability Edges Higher in October

Andrew Cates

**The Blue Chip Consensus**
Before turning to the risks that could unsettle the global outlook in 2026, it’s worth noting the backdrop against which those risks are emerging. The first chart shows that forecasters have, if anything, become more optimistic in recent months, raising their 2026 GDP projections across many major economies. The upgrades are most visible in Asia’s tech-focused economies, where the semiconductor and AI upturn is lifting expectations, but the US has also benefited from stronger-than-expected momentum and fading concerns that tariffs would deliver a major growth hit. In short, the starting point for the global outlook has improved—making the downside scenarios explored in the next few charts all the more important to test.

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**Policy divergence**
The second chart highlights one of the central risks to the 2026 outlook: monetary-policy calibration. Even as growth expectations have firmed, forecasters remain convinced that the major central banks still have a little further to go in their easing cycles. For both the Fed and the Bank of England, respondents expect additional rate cuts in early 2026, albeit with growing uncertainty about the exact timing and pace. The broader message is that the heavy lifting on disinflation is now largely done, and what remains are finer calibration risks—where cutting too slowly risks choking momentum, while cutting too aggressively risks undoing progress on inflation. The ECB outlook is far more fragmented. A large share of forecasters sees the next step as a cut—though not necessarily soon—but a meaningful minority lean toward a possible hike. At the opposite pole is the Bank of Japan. Unlike its peers, the BoJ is still expected to tighten policy, reflecting Japan’s firmer growth foundation and a more durable inflation process. This creates a notable US–Japan policy divergence, which has already influenced currency and bond-market behaviour and could become a larger global shock-transmission channel in 2026.

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**Financial market stress**
The third chart highlights another source of downside risk: the widening gap between financial-market calm and real-economy anxiety. The US VIX has spent most of the past year hovering near multi-decade lows, consistent with rich valuations, abundant liquidity and a broadly optimistic macro narrative. Yet measured global economic policy uncertainty remains unusually elevated, reflecting geopolitical fragmentation, shifting trade regimes, and highly uncertain fiscal trajectories. This disconnect matters. Periods in which markets price near-perfection while the policy environment deteriorates have often been precursors to sharp repricing episodes. With valuations stretched and volatility compressed, it would not take much—a policy misstep, a geopolitical shock, or a rapid shift in rate expectations—to trigger a correction big enough to destabilise confidence in 2026.

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**AI expectations**
Against that backdrop, our next chart highlights a more subtle but no less important vulnerability: expectations around AI-driven growth. While AI has undoubtedly been a powerful tailwind for market sentiment—and arguably a key reason why forecasters have nudged up 2026 growth projections—our survey suggests that most respondents believe financial markets are overestimating the likely economic gains. Only around a third think current expectations are broadly accurate; almost nobody believes markets are underestimating AI’s impact. This imbalance matters. When valuations are rich and optimism is heavily front-loaded, any disappointment in AI adoption, productivity gains or investment payoffs could unwind a meaningful chunk of the recent market strength. In other words, the same force lifting the outlook today could become a meaningful downside catalyst in 2026 if reality fails to keep pace with expectation.

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**Trade disruption** 
A further downside risk comes from the latent fragilities in global trade and logistics. The Baltic Dry Index has climbed sharply in recent months, hinting at firmer shipping demand and rising transport costs, even as the Global Supply Chain Pressure Index has edged lower. That combination is telling: headline congestion may not yet be building, but underlying pressures—tight vessel availability, shifting trade routes, selective port bottlenecks and stronger goods flows—are quietly re-accumulating beneath the surface. None of this resembles the acute disruptions of 2021–22, but the risk is that a seemingly contained system can tighten very quickly. For a global economy that remains vulnerable to cost shocks and production delays, any renewed squeeze in trade logistics would add another meaningful downside risk as we look toward 2026.

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**Geopolitical shocks** 
Geopolitical risk has eased from the extremes seen during the early stages of the Israel–Gaza conflict, but the broader backdrop remains far from settled. The global Geopolitical Risk Index is still running well above its pre-pandemic norm, and volatility is now being driven less by any single flashpoint and more by a crowded field of simmering risks. These range from an unstable Russia–Ukraine stalemate and intensifying U.S.–China strategic rivalry to ongoing tensions across the Taiwan Strait, a fragile security environment in the South China Sea, periodic flare-ups in the Caucasus and Sahel, and rising political strain ahead of multiple major elections in 2026. Venezuela’s increasing instability—both domestically and in relation to its border dispute with Guyana—adds another potential source of disruption, particularly for energy markets. While none of these risks is dominating headlines at present, history shows that geopolitical shocks rarely give advance warning. A sudden escalation in any of these theatres could easily unsettle trade flows, energy prices or investor sentiment—another meaningful downside risk as we approach 2026.

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As 2025 draws to a close, the global economy enters 2026 with a surprisingly resilient backdrop: equity markets are still trading near cycle highs, volatility is subdued, and consensus forecasts have been drifting upward in recent months—helped by a robust US economy, firmer momentum across Asia, and optimism that AI-related investment will continue to lift the medium-term outlook (chart 1). Against this relatively constructive starting point, we focus this week on the key downside risks that could challenge the consensus narrative next year: the possibility of monetary-policy miscalibration (chart 2); the gap between elevated policy uncertainty and unusually calm financial markets (chart 3); the risk that financial markets may be overestimating the gains from AI (chart 4); renewed strain in global trade (chart 5); and geopolitical tensions (chart 6). These risks do not dominate the baseline outlook, but they help frame the vulnerabilities that could matter if global conditions deteriorate. Next week, we will turn to the upside risks—the forces that could allow the world economy to outperform again in 2026.

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Charts of the Week: The Downside Risks

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The U.S. trade deficit in goods and services (BOP basis) narrowed to $52.8 billion in September from $59.3 billion in August, revised from $59.6 billion, according to the U.S. Census Bureau. The Action Economics Forecast Survey expected a deficit of $64.6 billion. The goods deficit fell to $79.0 billion in September from $86.1 billion in August, while the services surplus slipped to $26.2 billion from $26.8 billion in August. The real (inflation-adjusted) trade deficit in goods narrowed to $79.0 (2017$) in September from $83.7 billion in August. For all of Q3’25, the real deficit averaged $87.4 billion versus $87.7 billion in Q2, and thus it should be a modest addition to Q3 economic growth after a 4.8 percentage point addition in Q2.

Exports of goods & services rose 3.0% (5.7% y/y) in September following a 0.2% August slip. Goods exports (Census basis) strengthened 4.9% after a 0.8% slip. Nonauto consumer goods exports surged 19.1%. Industrial supplies & materials exports increased 12.1% while foods, feeds & beverage exports rose 3.4%. “Other” goods exports rose 7.6%. To the downside, capital goods exports excluding autos declined 5.3% while auto & parts exports fell 2.2%. Services exports eased 0.4%. Exports of financial services rose 1.4% while exports of maintenance & service repairs rose 0.8%. Exports of government goods and services rose 1.7%.

Imports of goods & services in September increased 0.6% (-3.7% y/y) after a 5.2% decline. Goods imports rose 0.7% (-5.9% y/y) in September after a 6.6% August decline. Nonauto consumer goods jumped 18.4% while industrial supplies & materials imports were little-changed. Elsewhere, imports fell. Capital goods excluding auto imports slumped 6.0%, auto imports fell 4.1% and food imports declined 1.6%. Total services imports rose 0.3% in September after a 0.3% decline. Maintenance & repair services increased 3.1%, construction service imports rose 1.1%, transport rose 1.5% but travel weakened 1.2%. Imports of government goods & services held steady.

By country, the goods trade deficit with China narrowed to $11.4 billion (SA) in September from $15.4 billion in August. Exports to China rose 1.8% while imports from China weakened 16.1%. The trade deficit with the European Union doubled m/m to $17.8 billion in September. Exports rose 13.2% but imports surged by one-third. The deficit with Japan declined sharply to $3.6 billion in September. Exports increased 7.9% while imports declined 12.7%.

The international trade data can be found in Haver’s **USECON** database. Detailed figures on international trade are available in the **USINT** and **USTRADE** databases. The expectations figures are from the Action Economics Forecast Survey in **AS1REPNA**.

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- Foreign trade deficit shrinks to lowest since June 2020.
- Surge in exports is driven by foods, industrial supplies & nonauto consumer goods.
- Minimal import increase is held down by fewer capital goods, autos & foods.
- Services surplus eases.

U.S. Trade Deficit Narrows to Five-Year Low in September

Kathleen Stephansen, CBE

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Initial claims for unemployment insurance rose 44,000 to 236,000 during the week of December 6, after declining to 192,000 during the week of November 29, revised from 191,000. The four-week moving average of initial claims was 216,750, an increase of 2,000 from the previous week unrevised average of 214,750, which was the lowest level since January 2025.

Federal government employees initially filed 643 (NSA) jobless insurance claims in the week ended November 29, after 1,126 filed in the week ended November 22, revised from 1,125.

Continuing claims for unemployment insurance posted a sharp decline of 99,000 to 1,838,000 in the week ending November 29, from 1,937,000 the prior week, revised from 1.939 million. The four-week moving average decreased by 27,000 to 1,918,000 in the week ended November 29, from 1945,250 the prior week, revised from 1.945 million. The insured unemployment rate stood at 1.2% in the week of November 29, a decrease from 1.3% in the prior week.

Federal government employees continuing benefits fell to 12,732 (NSA) in the week ended November 22, from 17,862 in the week ended November 15, revised from 17,851.

The insured unemployment rate varied greatly across individual states and territories. In the week ended November 22, the highest unemployment rates were in New Jersey (2.18%), Washington (2.23%), Massachusetts (1.95%), Connecticut (1.83%) and Rhode Island (1.82%). The lowest rates were in Florida (0.27%), South Dakota (0.34%), North Carolina (0.39%), Louisiana (0.42%), Alabama (0.44%), Virginia and Tennessee (both 0.46%), and Arkansas and Nebraska (both 0.48%). Rates in other notable states include California (1.74%), New York (1.63%), Pennsylvania (1.46%), Illinois (1.45%), and Texas (1.07%). 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.

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U.S. Initial Claims for Unemployment Insurance Rose in Latest Week

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Sweden’s inflation rate has developed into a very interesting oddity as headline inflation as measured by the harmonized index of consumer prices (HICP), that is used in Europe, has come to diverge sharply from the Swedish national rate of inflation measured by its national CPI. The HICP inflation rate is 2.2% over the last 12 months; Sweden’s national rate is up by only 0.2%. If we rank each of these two inflation rates on data back to 2001, the rank of the HICP is in its 72.2 percentile while the rank of the national CPI is in only its 19.4 percentile, the lower one-fifth of its historic range of national inflation rates. These two rankings occur over the same periods and so there's nothing about the periodicity that's responsible for this; there's simply very different performance over the recent span.

**About measuring inflation**
The HICP was adopted in Europe once the monetary union was formed and the countries of Europe were not able to get together to decide how to treat housing costs, which are important element in the CPI. They had entered into CPIs in different countries in different ways at that point. In the United States, inflation statistics are often criticized because of the way the housing component fits into them. Housing has such a large weight in the U.S. inflation measure. U.S. housing costs consider the cost of running the house in terms of taxes and utility costs; they look at the rental equivalent values, and they also have an owner imputed rent for people who live in their own homes. Of course, owner equivalent rent is a made-up number; it's completely imputed. Because a lot of European mortgages are short-term and they reprice when the central bank changes its rate, it’s very important to be careful how interest rates are treated in the housing cost indexes in Europe. The central bank did not want to be in a position where it would be raising interest rates to fight inflation and causing inflation to be higher because they were raising the mortgage interest rates on homes and causing the cost of housing to go up. For this reason, the HICP measures do not include housing costs. As we can see in the Swedish details for this month, housing and fuel costs are down 3.1% year-over-year. If we look at the ranking of housing costs for year-over-year growth, we see that they rank in the lower 6.4 percentile and are one of the most important factors in driving the national CPI lower and, of course, that metric is absent from the HICP.

**Inflation is always rife with controversy**: All of this is simply just another way to point out that inflation, while we measure it and talk about it, it's a controversial subject. How we measure it does matter. However, for monetary policy purposes, if we construct a measure that is reasonable and if we follow it consistently over the years, it should give us good signals and a good way to measure inflation and engage monetary policy. Yet, very clearly, if there are two competing gauges, it could become a real problem to jump from one to the other because they track different circumstances.

**The current state of Swedish inflation**: Swedish inflation in November fell by 0.3% month-to-month after rising by 0.5% in October and falling by 0.1% in September. The diffusion, or breadth, of inflation acceleration was only 33.3% in November. It jumped up to 55.6% in October, but it had been lower in September at 33%. Looking at Swedish inflation over 12-month, 6-month, and 3-month periods, the HICP goes from 2.2% over 12 months to an annualized pace of 5.7% over 6 months and then back down to 0.5% over 3 months. The national CPI has the same sort of topography but different growth rates with the CPI up by only 0.2% over 12 months, accelerating to 1.5% over 6 months and then declining at a -0.9% annual rate over 3 months. Inflation diffusion over 3 months in the national index is only 11.1%, over 6 months it jumps up to 66.7%, and over 12 months it's at 44.4% which is below 50% marking inflation as having more deceleration than acceleration.

**Controlled inflation**: On balance, Swedish inflation appears to be under control using either method. The ranking for inflation by category shows high inflation for food & nonalcoholic beverages, education, other goods & services, and medical care. However, inflation is below its median pace and bears low rankings for clothing & footwear, housing, fuel & lighting, recreation & culture, and transportation. Inflation is always somewhat mixed across sectors. That’s another thing that makes it hard to pin down exactly what inflation is, because people who consume different baskets of goods are going to experience different inflation rates. However, Sweden appears to have its inflation situation under control whichever metric you look at. The chart makes it clear that after its spike during COVID, inflation has come back down to a reasonable long-term pace that appears to be close to something that the central bank would find acceptable. The recent rise in HICP inflation seems to be unwinding and year-over-pace is down to a moderate 2.2%.

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Sweden

The Curious Case of Swedish Inflation

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At today’s meeting of the Federal Open Market Committee, the target range for the Fed funds rate was reduced to 3.50%-to-3.75% from 3.75%-to-4.00%. The current range compares to a high of 5.25%-to-5.50% in mid-September 2024. Today’s target range matched expectations in the Action Economics Forecast Survey. 

The following statement was released after today’s meeting: “Available indicators suggest that economic activity has been expanding at a moderate pace. Job gains have slowed this year, and the unemployment rate has edged up through September. More recent indicators are consistent with these developments. Inflation has moved up since earlier in the year and remains somewhat elevated.

The Committee seeks to achieve maximum employment and inflation at the rate of 2 percent over the longer run. Uncertainty about the economic outlook remains elevated. The Committee is attentive to the risks to both sides of its dual mandate and judges that downside risks to employment rose in recent months.

The Fed will initiate purchases of shorter-term Treasury securities as needed to maintain an ample supply of reserves on an ongoing basis.”

At this meeting, **new economic projections** were offered by FOMC members.
 
Real GDP growth Q4/Q4 in 2026 was raised to 2.3% from 1.8%; was raised to 2.0% from 1.9% in 2027; and was raised to 1.9% from 1.8% in 2028.

Unemployment rate in Q4 2026 was unchanged at 4.4%; was lowered to 4.2% from 4.3% in Q4 2027; and left unchanged at 4.2% in Q4 2028.

PCE inflation Q4/Q4 in 2026 was lowered to 2.4% from 2.6%; left unchanged at 2.1% in 2027; and left unchanged at 2.0% in 2028.

Core PCE inflation Q4/Q4 in 2026 was lowered to 2.5% from 2.6%; left unchanged at 2.1% in 2027; and left unchanged at 2.0% in 2028.

U.S. economic figures can be found in Haver’s **USECON** database & interest rate data are in the **WEEKLY** & **DAILY** databases.

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- Rate target lowered by quarter point for third time this year.
- The decision was mixed amongst FOMC voters.

FOMC Lowers Fed Funds Rate Target as Expected

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Mortgage applications dropped 3.8% w/w (+40.9% y/y) in the week of December 12 after a rise of 4.8% w/w (45.4% y/y) in the week of December 5, according to the Mortgage Bankers Association’s (MBA) Weekly Mortgage Applications Survey. Applications for loans to purchase a house fell 2.8% w/w (+12.3% y/y) in the latest week after declining 2.4% w/w (+17.2% y/y) in the week of December 5. Applications for loan refinancing dropped 3.6% w/w (+86.0% y/y) in the week of December 12, following the 14.3% (87.8% y/y) jump in the week ended December 5.

The effective interest rate on a 30-year fixed-rate loan rose 6bps to 6.56% in the week ending December 12, from 6.50% in the week ending December 5. The rate on 15-year fixed-rate mortgages rose 4bps to 5.91% in the latest week from 5.87% in the December 5 week. The rate on 30-year jumbo edged down 2bps to 6.55% in the December 12 week from 6.57% in the prior week. The rate on a 5-year ARM eased 4bps to 5.76% in the latest week from 5.80% in the December 5 week.

The share of applications for refinancing an existing loan rose to 59.0% of total applications in the December12 week from 58.2% in the week ending December 5. The adjustable-rate mortgage (ARM) share of activity rose to 7.2% in the latest week from 7.0% in the December 5 week.

The average size of a mortgage loan rose 1.5% (6.4% y/y) to $400,000 in the December 12 week, following a decline of 0.7% (+7.1% y/y) to $394,200 in the December 5 week. The average size of a purchase loan edged up 0.6% (-0.3% y/y) to $424,200 in the latest week, after dropping 0.4% (+1.3% y/y) to $421,700 in the December 5 week. The average size of a loan to refinance a mortgage rose 2.4% (19.8% y/y) to $383,300 in the week ending December 12 after rising 0.2% (19.4% y/y) to $374,500 in the December 5 week.

The Mortgage Bankers Association Survey covers 75% of all U.S. retail residential mortgage applications and has been conducted weekly since 1990. Respondents include mortgage bankers, commercial banks and thrifts. The base period and value for all indexes is March 16, 1990=100. The figures for weekly mortgage applications and interest rates are available in Haver’s **SURVEYS** database.

- Purchase applications fell 2.8% w/w; refinancing loan applications fell 3.6% w/w.
- Effective interest rate on 30-year fixed loans rose to 6.56%.
- Average loan size rose moderately.

U.S. Mortgage Applications Retreated in the Week of December 12

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