Louise Curley

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<img align="left" border="0" height="265" src="https://haver-commentaries.s3.eu-west-1.amazonaws.com/comments/050503f.jpg" width="353">
The Confederation of British Industries&#39; (CBI&#39;s) Distributive Trades Survey released today, shows a weakening in current retail trade volume and in expected volumes. The percent balance between those who reported an increase in volume in April and those who report a decrease was -14%, compared with -9% in March and +30% in April, 2004.
In the March Survey, there were 3% more retailers who expected an increase in volume in April than those who expected a decrease. In the current survey, there are only 1% more retailers who expect an increase in volume than those who expect a decrease in May suggesting that retailers are almost equally balanced between those who expect May volume will increase and those who expect it to decrease.
Survey results for the wholesale trade sector were more positive. The balance of those reporting an increase in volume over those reporting a decrease rose to 2% from -17% in March in contrast to the expectations expressed in the March Survey when the balance in April was expected to be -7%. The current Survey expects that the balance of increases in wholesale volume over decreases will rise to16% in May.
Reported current and expected volumes in the Motor Trades are bleak. Although the balance of those reporting a decrease in volume over those reporting an increase improved in April to -28%, from -33%, in March, it was 46 percentage points below the +18% of April, 2004. In the March Survey, the expectation for motor trade volume was for a balance of -25%, not too different from the actual figure reported for April. In the current survey, the expectation is that balance of those expecting an increase over those expecting a decrease will increase still further to -33%.
The ability of the expected series to forecast subsequently reported balances is not particularly robust as measured by the correlation coefficient. The best, shown in the attached chart, is that for the motor trades, which has a correlation coefficient of 0.72, compared with that for retail trade of .53 and for wholesale trade, .27. The fact that the motor trades sector is relatively homogeneous while those of the retail and wholesale sectors are heterogeneous may account for better ability of expectations in the motor trades to predict the subsequently reported volume.

<table border="0" cellspacing="0" width="100%">
<colgroup><col><col><col><col><col><col><col><col></colgroup>
<thead>
<tr>
<th scope="col" class="firstcol"><a href="http://www.haverselect.com/dlx/UK/@U9/@U9.HTM">UK: Distributive Trade Survey</a></th>
<th scope="col">Apr 05</th>
<th scope="col">Mar 05</th>
<th scope="col">Apr 04</th>
<th scope="col">M/M dif</th>
<th scope="col">Y/Y&nbsp;&nbsp; dif</th>
<th scope="col">&nbsp;2004&nbsp;&nbsp;</th>
<th scope="col">&nbsp;2003</th>
<th scope="col">&nbsp;2002</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td class="firstcol">Reported (Percent Balance)</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
</tr>
<tr>
<td class="firstcol">Retail Trade</td>
<td>-14</td>
<td>-9</td>
<td>30</td>
<td>-5</td>
<td>-44</td>
<td>24</td>
<td>14</td>
<td>23</td>
</tr>
<tr class="odd">
<td class="firstcol">Wholesale Trade</td>
<td>2</td>
<td>-17</td>
<td>38</td>
<td>19</td>
<td>-36</td>
<td>27</td>
<td>4</td>
<td>6</td>
</tr>
<tr>
<td class="firstcol">Motor Trade</td>
<td>-28</td>
<td>-33</td>
<td>18</td>
<td>5</td>
<td>-46</td>
<td>-8</td>
<td>-19</td>
<td>7</td>
</tr>
<tr class="odd">
<td class="firstcol">&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
</tr>
<tr>
<td class="firstcol"></td>
<td>May 05</td>
<td>Apr 05</td>
<td>May 04</td>
<td>M/M dif</td>
<td>Y/Y&nbsp;&nbsp; dif</td>
<td>&nbsp;2004&nbsp;&nbsp;</td>
<td>&nbsp;2003</td>
<td>&nbsp;2002</td>
</tr>
<tr class="odd">
<td class="firstcol">Expected (Percent Balance)</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
</tr>
<tr>
<td class="firstcol">Retail Trade</td>
<td>1</td>
<td>3</td>
<td>34</td>
<td>-2</td>
<td>-34</td>
<td>25</td>
<td>18</td>
<td>29</td>
</tr>
<tr class="odd">
<td class="firstcol">Wholesale Trade</td>
<td>16</td>
<td>-7</td>
<td>32</td>
<td>22</td>
<td>-16</td>
<td>17</td>
<td>-1</td>
<td>1</td>
</tr>
<tr>
<td class="firstcol">Motor Trade</td>
<td>-33</td>
<td>-25</td>
<td>22</td>
<td>-8</td>
<td>-55</td>
<td>-8</td>
<td>-18</td>
<td>5</td>
</tr>
</tbody>
</table>
</body>
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The Confederation of British Industries' (CBI's) Distributive Trades Survey released today, shows a weakening in current retail trade volume and in expected volumes. The percent balance between those who reported an increase in volume [...]

Confederation of British Industry's (CBI'S) Distributive Trades Survey: Retail and Motor Trades Slow Sharply, [...]

Tom Moeller

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<img align="left" border="0" height="265" src="https://haver-commentaries.s3.eu-west-1.amazonaws.com/comments/050503h.jpg" width="353">
The Federal Open Market Committee raised the target rate for federal funds an expected 25 basis points to 3.00%. The discount rate also was raised 25 basis points to 4.00%.
The unanimous decision to raise rates was the eighth since last June.
Today&#39;s press release from the Fed continued to contain a comment suggesting that rates could be raised again. &quot;The Committee believes that, even after this action, the stance of monetary policy remains accommodative ...&quot; The text also continued to mention that &quot;the Committee believes that policy accommodation can be removed at a pace that is likely to be measured.&quot;
In a more forthright comment on inflation than made in the past, the press release indicated &quot;Pressures on inflation have picked up in recent months and pricing power is more evident.&quot;
For the complete text of the Fed&#39;s latest press release please click <a href="http://www.federalreserve.gov/boarddocs/press/monetary/2005/20050503/default.htm">here</a>.
U.S. Monetary Policy: An Introduction from the Federal Reserve Bank of San Francisco can be found <a href="http://www.frbsf.org/publications/federalreserve/monetary/index.html"> here</a>.

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The Federal Open Market Committee raised the target rate for federal funds an expected 25 basis points to 3.00%. The discount rate also was raised 25 basis points to 4.00%. The unanimous decision to raise rates was the eighth since [...]

FOMC Lifts Funds Rate to 3.00%

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<img align="left" border="0" height="265" src="https://haver-commentaries.s3.eu-west-1.amazonaws.com/comments/050503c.jpg" width="353">
Factory inventories rose 0.6% in March following an upwardly revised like increase in February. Higher oil prices recently have lifted these gains, but not a lot, as petroleum refinery inventories rose 3.2% (22.4% y/y). Less petroleum, inventories rose 0.5% (8.4% y/y).
Accumulation in the primary metals industry has been notable, up 30.3% y/y, and fabricated metal inventories also rose a strong 17.3% y/y. Machinery inventorieshave risen 11.1% this past year and electrical equipment inventories are up 7.9%. Inventories of furniture &amp; related products rose 12.2% y/y while inventories of apparel rose 7.5% y/y.
Factory shipments recovered nearly all of the prior month&#39;s drop with a 1.3% gain. Less transportation, shipments rose 1.6% (9.2% y/y) following a deepened 1.2% decline in February.
Orders to the factory sector ticked up 0.1%, restrained by a 2.3% decline in durable goods orders which was revised from the advance report of a 2.8% drop. The decline in orders for non-defense capital goods less aircraft was lessened to 4.0% (+2.7% y/y) from the advance report of a 4.7% shortfall.Nondurable goods orders, which equal shipments, rose 2.8% (10.4% y/y) led by a 19.8% (42.2% y/y) surge in petroleum. Less oil, orders for non-durables fell 0.4% (+5.5% y/y) for the second monthly drop.<img align="right" border="0" height="265" src="https://haver-commentaries.s3.eu-west-1.amazonaws.com/comments/050503b.jpg" width="353">
Unfilled orders fell 0.3% and lowered the ratio of unfilled orders to shipments for durables slightly.
Do Technological Improvements in the Manufacturing Sector Raise or Lower Employment? from the Federal Reserve Bank of Philadelphia can be found <a href="http://www.philadelphiafed.org/files/wps/2005/wp05-5.pdf"> here</a>. 

<table border="0" cellspacing="0" width="100%">
<colgroup><col><col><col><col><col><col></colgroup>
<thead>
<tr>
<th scope="col" class="firstcol"><a href="http://www.haverselect.com/dlx/USECON/@ED/@ED01/@ED0101/@ED01016/@ED01016.HTM">Factory Survey</a> (NAICS)</th>
<th scope="col">Mar</th>
<th scope="col">Feb</th>
<th scope="col">Y/Y</th>
<th scope="col">2004</th>
<th scope="col">2003</th>
<th scope="col">2002</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td class="firstcol">Inventories</td>
<td>0.6%</td>
<td>0.6%</td>
<td>8.9%</td>
<td>7.5%</td>
<td>-1.3%</td>
<td>-1.8%</td>
</tr>
<tr>
<td class="firstcol">New Orders</td>
<td>0.1%</td>
<td>-0.5%</td>
<td>4.1%</td>
<td>10.9%</td>
<td>3.7%</td>
<td>-1.9%</td>
</tr>
<tr class="odd">
<td class="firstcol">Shipments</td>
<td>1.3%</td>
<td>-1.5%</td>
<td>6.7%</td>
<td>10.5%</td>
<td>2.6%</td>
<td>-2.0%</td>
</tr>
<tr>
<td class="firstcol">Unfilled Orders</td>
<td>-0.3%</td>
<td>0.5%</td>
<td>6.8%</td>
<td>9.1%</td>
<td>4.2%</td>
<td>-6.1%</td>
</tr>
</tbody>
</table>
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Factory inventories rose 0.6% in March following an upwardly revised like increase in February. Higher oil prices recently have lifted these gains, but not a lot, as petroleum refinery inventories rose 3.2% (22.4% y/y). Less [...]

U.S. Factory Inventories Rose

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<img align="left" border="0" height="265" src="https://haver-commentaries.s3.eu-west-1.amazonaws.com/comments/050503a.jpg" width="353">
Chain store sales gained 0.5% during the final week of April according to the International Council of Shopping Centers (ICSC)-UBS survey. The increase raised the average of sales in April 0.4% versus March when sales fell 0.2%.
During the last ten years there has been a 56% correlation between the y/y change in chain store sales and the change in non-auto retail sales less gasoline, as published by the US Census Department. Chain store sales correspond directly with roughly 14% of non-auto retail sales less gasoline.
The leading indicator of chain store sales from ICSC ticked 0.1% (-0.3% y/y) higher, the third consecutive weekly rise following three declines.
The ICSC-UBS retail chain-store sales index is constructed using the same-store sales (stores open for one year) reported by 78 stores of seven retailers: Dayton Hudson, Federated, Kmart, May, J.C. Penney, Sears and Wal-Mart.
Reexamining the Consumption-Wealth Relationship: The Role of Uncertainty from the Federal Reserve Bank of New York can be found <a href="http://www.newyorkfed.org/research/staff_reports/sr202.pdf"> here</a>.

<table border="0" cellspacing="0" width="100%">
<colgroup><col><col><col><col><col><col></colgroup>
<thead>
<tr>
<th scope="col" class="firstcol"><a href="http://www.haverselect.com/dlx/surveyw/@S2/@S2.HTM">ICSC-UBS (SA, 1977=100)</a></th>
<th scope="col">04/30/05</th>
<th scope="col">04/23/05</th>
<th scope="col">Y/Y</th>
<th scope="col">2004</th>
<th scope="col">2003</th>
<th scope="col">2002</th>
</tr>
</thead>
<tbody>
<tr>
<td class="firstcol">Total Weekly Chain Store Sales</td>
<td>458.0</td>
<td>455.8</td>
<td>3.0%</td>
<td>4.6%</td>
<td>2.9%</td>
<td>3.6%</td>
</tr>
</tbody>
</table>
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Chain store sales gained 0.5% during the final week of April according to the International Council of Shopping Centers (ICSC)-UBS survey. The increase raised the average of sales in April 0.4% versus March when sales fell 0.2%. [...]

Chain Store Sales Gain

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<img align="left" border="0" height="265" src="https://haver-commentaries.s3.eu-west-1.amazonaws.com/comments/050503d.jpg" width="353">
Challenger, Gray &amp; Christmas reported that job cut announcements in April fell 33.0% to the lowest level since November 2000. The three month average of job cut announcements fell to the lowest level since last September.
During the last ten years there has been an 84% (inverse) correlation between the three month moving average of announced job cuts and the three month change payroll employment.
Job cut announcements fell sharply m/m in the consumer goods (-18.2% y/y), industrial goods (-27.1% y/y), telecommunication (-96.1% y/y) and transportation industries but declines elsewhere were limited.
Job cut announcements differ from layoffs. Many are achieved through attrition, early retirement or just never occur.
Challenger also reported that announced hiring plans recovered some of the prior month&#39;s decline with a 21.3% rise.

<table border="0" cellspacing="0" width="100%">
<colgroup><col><col><col><col><col><col></colgroup>
<thead>
<tr>
<th scope="col" class="firstcol"><a href="http://www.haverselect.com/dlx/SURVEYS/@S3/@S301/@S301.HTM">Challenger, Gray &amp; Christmas</a></th>
<th scope="col">April</th>
<th scope="col">Mar</th>
<th scope="col">Y/Y</th>
<th scope="col">2004</th>
<th scope="col">2003</th>
<th scope="col">2002</th>
</tr>
</thead>
<tbody>
<tr>
<td class="firstcol">Announced Job Cuts</td>
<td>57,861</td>
<td>86,396</td>
<td>-19.8%</td>
<td>1,039,175</td>
<td>1,236,426</td>
<td>1,431,052</td>
</tr>
</tbody>
</table>
</body>
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Challenger, Gray & Christmas reported that job cut announcements in April fell 33.0% to the lowest level since November 2000. The three month average of job cut announcements fell to the lowest level since last September. During the [...]

Challenger Layoff Count Lowest Since 2000

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<img align="left" border="0" height="265" src="https://haver-commentaries.s3.eu-west-1.amazonaws.com/comments/050503h.jpg" width="353">
The Federal Open Market Committee raised the target rate for federal funds an expected 25 basis points to 3.00%. The discount rate also was raised 25 basis points to 4.00%.
The unanimous decision to raise rates was the eighth since last June.
Today&#39;s press release from the Fed continued to contain a comment suggesting that rates could be raised again. &quot;The Committee believes that, even after this action, the stance of monetary policy remains accommodative ...&quot; The text also continued to mention that &quot;the Committee believes that policy accommodation can be removed at a pace that is likely to be measured.&quot;
In a more forthright comment on inflation than made in the past, the press release indicated &quot;Pressures on inflation have picked up in recent months and pricing power is more evident.&quot;
For the complete text of the Fed&#39;s latest press release please click <a href="http://www.federalreserve.gov/boarddocs/press/monetary/2005/20050503/default.htm">here</a>.
U.S. Monetary Policy: An Introduction from the Federal Reserve Bank of San Francisco can be found <a href="http://www.frbsf.org/publications/federalreserve/monetary/index.html"> here</a>.

Challenger Layoff Count Lowest Since 2000 
by <a href="/comment/Moeller.html">Tom Moeller</a> May 3, 2005


<img align="left" border="0" height="265" src="https://haver-commentaries.s3.eu-west-1.amazonaws.com/comments/050503d.jpg" width="353">
Challenger, Gray &amp; Christmas reported that job cut announcements in April fell 33.0% to the lowest level since November 2000. The three month average of job cut announcements fell to the lowest level since last September.
During the last ten years there has been an 84% (inverse) correlation between the three month moving average of announced job cuts and the three month change payroll employment.
Job cut announcements fell sharply m/m in the consumer goods (-18.2% y/y), industrial goods (-27.1% y/y), telecommunication (-96.1% y/y) and transportation industries but declines elsewhere were limited.
Job cut announcements differ from layoffs. Many are achieved through attrition, early retirement or just never occur.
Challenger also reported that announced hiring plans recovered some of the prior month&#39;s decline with a 21.3% rise.

<table border="0" cellspacing="0" width="100%">
<colgroup><col><col><col><col><col><col></colgroup>
<thead>
<tr>
<th scope="col" class="firstcol"><a href="http://www.haverselect.com/dlx/SURVEYS/@S3/@S301/@S301.HTM">Challenger, Gray &amp; Christmas</a></th>
<th scope="col">April</th>
<th scope="col">Mar</th>
<th scope="col">Y/Y</th>
<th scope="col">2004</th>
<th scope="col">2003</th>
<th scope="col">2002</th>
</tr>
</thead>
<tbody>
<tr>
<td class="firstcol">Announced Job Cuts</td>
<td>57,861</td>
<td>86,396</td>
<td>-19.8%</td>
<td>1,039,175</td>
<td>1,236,426</td>
<td>1,431,052</td>
</tr>
</tbody>
</table>
Chain Store Sales Gain 
by <a href="/comment/Moeller.html">Tom Moeller</a> May 3, 2005


<img align="left" border="0" height="265" src="https://haver-commentaries.s3.eu-west-1.amazonaws.com/comments/050503a.jpg" width="353">
Chain store sales gained 0.5% during the final week of April according to the International Council of Shopping Centers (ICSC)-UBS survey. The increase raised the average of sales in April 0.4% versus March when sales fell 0.2%.
During the last ten years there has been a 56% correlation between the y/y change in chain store sales and the change in non-auto retail sales less gasoline, as published by the US Census Department. Chain store sales correspond directly with roughly 14% of non-auto retail sales less gasoline.
The leading indicator of chain store sales from ICSC ticked 0.1% (-0.3% y/y) higher, the third consecutive weekly rise following three declines.
The ICSC-UBS retail chain-store sales index is constructed using the same-store sales (stores open for one year) reported by 78 stores of seven retailers: Dayton Hudson, Federated, Kmart, May, J.C. Penney, Sears and Wal-Mart.
Reexamining the Consumption-Wealth Relationship: The Role of Uncertainty from the Federal Reserve Bank of New York can be found <a href="http://www.newyorkfed.org/research/staff_reports/sr202.pdf"> here</a>.

<table border="0" cellspacing="0" width="100%">
<colgroup><col><col><col><col><col><col></colgroup>
<thead>
<tr>
<th scope="col" class="firstcol"><a href="http://www.haverselect.com/dlx/surveyw/@S2/@S2.HTM">ICSC-UBS (SA, 1977=100)</a></th>
<th scope="col">04/30/05</th>
<th scope="col">04/23/05</th>
<th scope="col">Y/Y</th>
<th scope="col">2004</th>
<th scope="col">2003</th>
<th scope="col">2002</th>
</tr>
</thead>
<tbody>
<tr>
<td class="firstcol">Total Weekly Chain Store Sales</td>
<td>458.0</td>
<td>455.8</td>
<td>3.0%</td>
<td>4.6%</td>
<td>2.9%</td>
<td>3.6%</td>
</tr>
</tbody>
</table>
U.S. Factory Inventories Rose 
by <a href="/comment/Moeller.html">Tom Moeller</a> May 3, 2005


<img align="left" border="0" height="265" src="https://haver-commentaries.s3.eu-west-1.amazonaws.com/comments/050503c.jpg" width="353">
Factory inventories rose 0.6% in March following an upwardly revised like increase in February. Higher oil prices recently have lifted these gains, but not a lot, as petroleum refinery inventories rose 3.2% (22.4% y/y). Less petroleum, inventories rose 0.5% (8.4% y/y).
Accumulation in the primary metals industry has been notable, up 30.3% y/y, and fabricated metal inventories also rose a strong 17.3% y/y. Machinery inventorieshave risen 11.1% this past year and electrical equipment inventories are up 7.9%. Inventories of furniture &amp; related products rose 12.2% y/y while inventories of apparel rose 7.5% y/y.
Factory shipments recovered nearly all of the prior month&#39;s drop with a 1.3% gain. Less transportation, shipments rose 1.6% (9.2% y/y) following a deepened 1.2% decline in February.
Orders to the factory sector ticked up 0.1%, restrained by a 2.3% decline in durable goods orders which was revised from the advance report of a 2.8% drop. The decline in orders for non-defense capital goods less aircraft was lessened to 4.0% (+2.7% y/y) from the advance report of a 4.7% shortfall.Nondurable goods orders, which equal shipments, rose 2.8% (10.4% y/y) led by a 19.8% (42.2% y/y) surge in petroleum. Less oil, orders for non-durables fell 0.4% (+5.5% y/y) for the second monthly drop.<img align="right" border="0" height="265" src="https://haver-commentaries.s3.eu-west-1.amazonaws.com/comments/050503b.jpg" width="353">
Unfilled orders fell 0.3% and lowered the ratio of unfilled orders to shipments for durables slightly.
Do Technological Improvements in the Manufacturing Sector Raise or Lower Employment? from the Federal Reserve Bank of Philadelphia can be found <a href="http://www.philadelphiafed.org/files/wps/2005/wp05-5.pdf"> here</a>. 

<table border="0" cellspacing="0" width="100%">
<colgroup><col><col><col><col><col><col></colgroup>
<thead>
<tr>
<th scope="col" class="firstcol"><a href="http://www.haverselect.com/dlx/USECON/@ED/@ED01/@ED0101/@ED01016/@ED01016.HTM">Factory Survey</a> (NAICS)</th>
<th scope="col">Mar</th>
<th scope="col">Feb</th>
<th scope="col">Y/Y</th>
<th scope="col">2004</th>
<th scope="col">2003</th>
<th scope="col">2002</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td class="firstcol">Inventories</td>
<td>0.6%</td>
<td>0.6%</td>
<td>8.9%</td>
<td>7.5%</td>
<td>-1.3%</td>
<td>-1.8%</td>
</tr>
<tr>
<td class="firstcol">New Orders</td>
<td>0.1%</td>
<td>-0.5%</td>
<td>4.1%</td>
<td>10.9%</td>
<td>3.7%</td>
<td>-1.9%</td>
</tr>
<tr class="odd">
<td class="firstcol">Shipments</td>
<td>1.3%</td>
<td>-1.5%</td>
<td>6.7%</td>
<td>10.5%</td>
<td>2.6%</td>
<td>-2.0%</td>
</tr>
<tr>
<td class="firstcol">Unfilled Orders</td>
<td>-0.3%</td>
<td>0.5%</td>
<td>6.8%</td>
<td>9.1%</td>
<td>4.2%</td>
<td>-6.1%</td>
</tr>
</tbody>
</table>
Confederation of British Industry's (CBI'S) Distributive Trades Survey:  Retail and Motor Trades Slow Sharply, Wholesale Trade Improves 
by <a href="/comment/Curley.html">Louise Curley</a> May 3, 2005


<img align="left" border="0" height="265" src="https://haver-commentaries.s3.eu-west-1.amazonaws.com/comments/050503f.jpg" width="353">
The Confederation of British Industries&#39; (CBI&#39;s) Distributive Trades Survey released today, shows a weakening in current retail trade volume and in expected volumes. The percent balance between those who reported an increase in volume in April and those who report a decrease was -14%, compared with -9% in March and +30% in April, 2004.
In the March Survey, there were 3% more retailers who expected an increase in volume in April than those who expected a decrease. In the current survey, there are only 1% more retailers who expect an increase in volume than those who expect a decrease in May suggesting that retailers are almost equally balanced between those who expect May volume will increase and those who expect it to decrease.
Survey results for the wholesale trade sector were more positive. The balance of those reporting an increase in volume over those reporting a decrease rose to 2% from -17% in March in contrast to the expectations expressed in the March Survey when the balance in April was expected to be -7%. The current Survey expects that the balance of increases in wholesale volume over decreases will rise to16% in May.
Reported current and expected volumes in the Motor Trades are bleak. Although the balance of those reporting a decrease in volume over those reporting an increase improved in April to -28%, from -33%, in March, it was 46 percentage points below the +18% of April, 2004. In the March Survey, the expectation for motor trade volume was for a balance of -25%, not too different from the actual figure reported for April. In the current survey, the expectation is that balance of those expecting an increase over those expecting a decrease will increase still further to -33%.
The ability of the expected series to forecast subsequently reported balances is not particularly robust as measured by the correlation coefficient. The best, shown in the attached chart, is that for the motor trades, which has a correlation coefficient of 0.72, compared with that for retail trade of .53 and for wholesale trade, .27. The fact that the motor trades sector is relatively homogeneous while those of the retail and wholesale sectors are heterogeneous may account for better ability of expectations in the motor trades to predict the subsequently reported volume.

<table border="0" cellspacing="0" width="100%">
<colgroup><col><col><col><col><col><col><col><col></colgroup>
<thead>
<tr>
<th scope="col" class="firstcol"><a href="http://www.haverselect.com/dlx/UK/@U9/@U9.HTM">UK: Distributive Trade Survey</a></th>
<th scope="col">Apr 05</th>
<th scope="col">Mar 05</th>
<th scope="col">Apr 04</th>
<th scope="col">M/M dif</th>
<th scope="col">Y/Y&nbsp;&nbsp; dif</th>
<th scope="col">&nbsp;2004&nbsp;&nbsp;</th>
<th scope="col">&nbsp;2003</th>
<th scope="col">&nbsp;2002</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td class="firstcol">Reported (Percent Balance)</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
</tr>
<tr>
<td class="firstcol">Retail Trade</td>
<td>-14</td>
<td>-9</td>
<td>30</td>
<td>-5</td>
<td>-44</td>
<td>24</td>
<td>14</td>
<td>23</td>
</tr>
<tr class="odd">
<td class="firstcol">Wholesale Trade</td>
<td>2</td>
<td>-17</td>
<td>38</td>
<td>19</td>
<td>-36</td>
<td>27</td>
<td>4</td>
<td>6</td>
</tr>
<tr>
<td class="firstcol">Motor Trade</td>
<td>-28</td>
<td>-33</td>
<td>18</td>
<td>5</td>
<td>-46</td>
<td>-8</td>
<td>-19</td>
<td>7</td>
</tr>
<tr class="odd">
<td class="firstcol">&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
</tr>
<tr>
<td class="firstcol"></td>
<td>May 05</td>
<td>Apr 05</td>
<td>May 04</td>
<td>M/M dif</td>
<td>Y/Y&nbsp;&nbsp; dif</td>
<td>&nbsp;2004&nbsp;&nbsp;</td>
<td>&nbsp;2003</td>
<td>&nbsp;2002</td>
</tr>
<tr class="odd">
<td class="firstcol">Expected (Percent Balance)</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
</tr>
<tr>
<td class="firstcol">Retail Trade</td>
<td>1</td>
<td>3</td>
<td>34</td>
<td>-2</td>
<td>-34</td>
<td>25</td>
<td>18</td>
<td>29</td>
</tr>
<tr class="odd">
<td class="firstcol">Wholesale Trade</td>
<td>16</td>
<td>-7</td>
<td>32</td>
<td>22</td>
<td>-16</td>
<td>17</td>
<td>-1</td>
<td>1</td>
</tr>
<tr>
<td class="firstcol">Motor Trade</td>
<td>-33</td>
<td>-25</td>
<td>22</td>
<td>-8</td>
<td>-55</td>
<td>-8</td>
<td>-18</td>
<td>5</td>
</tr>
</tbody>
</table>
</body>
</html>

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<img align="left" border="0" height="265" src="https://haver-commentaries.s3.eu-west-1.amazonaws.com/comments/050503e.jpg" width="353">
Ever since its sharp devaluation at the end of 1993, China has pegged its currency, the Yuan, (domestically known as the renminbi) to 8.277 to the US $. Recently, calls, particularly from the United States, for an appreciation of the currency have become ever more insistent as China&#39;s current account surplus and its reserves have risen sharply.
China has hinted that it might take gradual steps to free the currency, but no time frame has been set. Our purpose here, is not to try to guess when a change in the exchange regime will take place or what form it might take: a managed float, a free float or a simple appreciation to a new peg, but to take a look at the changes that have taken place in the various currencies of the Pacific Rim countries since the Chinese devaluation of 1993.
Hong Kong and Malaysia have also maintained fixed rates. The first chart, illustrating fixed rates, shows the Malaysian ringgit and the Chinese Yuan vs. the US dollar since 1993 when the Yuan was devalued. The ringgit was devalued during the crisis of 1996-7.<img align="right" border="0" height="265" src="https://haver-commentaries.s3.eu-west-1.amazonaws.com/comments/050503g.jpg" width="353">
Many currencies, other than the Singapore dollar, were devalued at that time, but they, along with the Singapore dollar, were allowed, to a degree, to appreciate or devalue as market conditions warranted. The Japanese Yen and the South Korean Won relative to the US dollar, shown in the second chart, are typical of a relatively free currency regime. While China, Hong Kong, and Malaysia have unchanged rates of exchange since 1966, most of the other countries of the area, have witnessed periods of appreciation and devaluation

<table border="0" cellspacing="0" width="100%">
<colgroup><col><col><col><col><col><col></colgroup>
<thead>
<tr>
<th scope="col" class="firstcol">Exchange Rates &nbsp;End of Period</th>
<th scope="col">Apr 05</th>
<th scope="col">1993</th>
<th scope="col">1996&nbsp;</th>
<th scope="col">App+/Deval- 93 to 97</th>
<th scope="col">App+/Deval- 97 to Apr 05</th>
<th scope="col">&nbsp;2004&nbsp;&nbsp;</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td class="firstcol">China Yuan/$&nbsp;</td>
<td>8.277</td>
<td>5.8645</td>
<td>8.276</td>
<td>-29.1</td>
<td>0.0</td>
<td>8.280</td>
</tr>
<tr>
<td class="firstcol">Hong Kong/$</td>
<td>7.80</td>
<td>7.743</td>
<td>7.763</td>
<td>0.0</td>
<td>0.0</td>
<td>7.798</td>
</tr>
<tr class="odd">
<td class="firstcol">Malaysia Ringgit/$</td>
<td>3.80</td>
<td>2.6950</td>
<td>3.80</td>
<td>-29.1</td>
<td>0.0</td>
<td>3.80</td>
</tr>
<tr>
<td class="firstcol">&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
<td>&nbsp;</td>
</tr>
<tr class="odd">
<td class="firstcol">Japan Yen/$</td>
<td>104.64</td>
<td>111.70</td>
<td>102.13</td>
<td>8.8</td>
<td>-1.9</td>
<td>118.57</td>
</tr>
<tr>
<td class="firstcol">South Korea Won/$</td>
<td>997.0</td>
<td>811.30</td>
<td>1206.0</td>
<td>-25.2</td>
<td>8.8</td>
<td>1186.30</td>
</tr>
<tr class="odd">
<td class="firstcol">Thailand Baht/$</td>
<td>39.43</td>
<td>25.53</td>
<td>46.8</td>
<td>-45.2</td>
<td>18.7</td>
<td>38.80</td>
</tr>
<tr>
<td class="firstcol">India Rupee/$</td>
<td>43.48</td>
<td>31.44</td>
<td>35.94</td>
<td>-12.5</td>
<td>-17.3</td>
<td>43.27</td>
</tr>
<tr class="odd">
<td class="firstcol">Singapore Dollar/$</td>
<td>1.6337</td>
<td>1.6085</td>
<td>1.3995</td>
<td>14.9</td>
<td>-14.3</td>
<td>1.6319</td>
</tr>
<tr>
<td class="firstcol">Taiwan Dollar/$</td>
<td>31.22</td>
<td>26.626</td>
<td>27.52</td>
<td>-3.2</td>
<td>-11.9</td>
<td>31.740</td>
</tr>
</tbody>
</table>
</body>
</html>

Ever since its sharp devaluation at the end of 1993, China has pegged its currency, the Yuan, (domestically known as the renminbi) to 8.277 to the US $. Recently, calls, particularly from the United States, for an appreciation of the [...]

Exchange Rates in the Pacific Rim

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<img align="left" border="0" height="265" src="https://haver-commentaries.s3.eu-west-1.amazonaws.com/comments/050502b.jpg" width="353">
The total value of construction put in place rose 0.5% in March for the second month. Consensus expectations had been for a 0.3% gain.
Private residential building activity rose 0.3% following an upwardly revised 1.1% increase in February. The value of new single family building added 0.5% (13.2% y/y) to increases during the prior three months which ranged between 1.0% &amp; 2.0%.
Nonresidential building recovered most of the prior month&#39;s decline as office building again was strong and rose 2.6% (5.6% y/y). Manufacturing building surged 11.3% (38.1% y/y) following two months of decline.
Public construction rose 0.3% following a downwardly revised gain in February. Spending on highways &amp; streets, nearly one third of the value of public construction spending, slipped 0.4% (+2.1% y/y) following strong gains during the prior five months.
These more detailed categories represent the Census Bureau&#146;s reclassification of construction activity into end-use groups. Finer detail is available for many of the categories; for instance, commercial construction is shown for Automotive sales and parking facilities, drugstores, building supply stores, and both commercial warehouses and mini-storage facilities. Note that start dates vary for some seasonally adjusted line items in 2000 and 2002 and that constant-dollar data are no longer computed.

<table border="0" cellspacing="0" width="100%">
<colgroup><col><col><col><col><col><col></colgroup>
<thead>
<tr>
<th scope="col" class="firstcol"><a href="http://www.haverselect.com/dlx/USECON/@E9/@E907/@E90701/@E90701.HTM">Construction Put-in-place</a></th>
<th scope="col">Mar</th>
<th scope="col">Feb</th>
<th scope="col">Y/Y</th>
<th scope="col">2004</th>
<th scope="col">2003</th>
<th scope="col">2002</th>
</tr>
</thead>
<tbody>
<tr class="odd">
<td class="firstcol">Total</td>
<td>0.5%</td>
<td>0.5%</td>
<td>8.0%</td>
<td>8.9%</td>
<td>5.1%</td>
<td>1.5%</td>
</tr>
<tr>
<td class="firstcol">Private</td>
<td>0.5%</td>
<td>0.4%</td>
<td>10.4%</td>
<td>10.7%</td>
<td>6.0%</td>
<td>-0.2%</td>
</tr>
<tr class="odd">
<td class="firstcol">&nbsp; Residential</td>
<td>0.3%</td>
<td>1.1%</td>
<td>12.1%</td>
<td>13.9%</td>
<td>13.1%</td>
<td>8.4%</td>
</tr>
<tr>
<td class="firstcol">&nbsp; Nonresidential</td>
<td>1.1%</td>
<td>-1.4%</td>
<td>6.3%</td>
<td>3.7%</td>
<td>-7.1%</td>
<td>-12.8%</td>
</tr>
<tr class="odd">
<td class="firstcol">Public</td>
<td>0.3%</td>
<td>0.7%</td>
<td>0.5%</td>
<td>3.3%</td>
<td>2.6%</td>
<td>7.0%</td>
</tr>
</tbody>
</table>
</body>
</html>

The total value of construction put in place rose 0.5% in March for the second month. Consensus expectations had been for a 0.3% gain. Private residential building activity rose 0.3% following an upwardly revised 1.1% increase in [...]

U.S. Construction Spending Led By Residential

Cost of transporting crude oil has soared to series high

Market-based inflation expectations have not yet reflected recent surge in oil prices

Global equity markets are fearing a major economic disruption from soaring oil prices

Is recent drop in sentiment signaling softer growth ahead?

With the Iran conflict, geopolitical risk has soared to alarming levels

Soaring AI-related investment in US underpinning strong contribution of business spending to overall growth

AI-related outperformance of IP in Advanced Asia ex Japan

Resilient US economy pushing up Blue Chip 2026 outlook

US and China big leaders in adoption of AI models

Robust US demand for advanced technology products

China's export growth rotating away from the US

More pronounced upward revisions in countries more exposed to AI investment

Stable job openings and hiring rates point to cautious hiring

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

Accelerating positive economic surprises in the G10 are boosting the global economy

Considerably more monetary ease expected from US and UK as Japan tightens

Tighter US immigration enforcement adversely impacting labor force

Economic policy uncertainty, while still elevated, is declining

Gradual disinflation and easier monetary policies across advanced economies

Largest October layoffs since 2003, led by technology

Subdued global shipping costs not yet pointing to supply chain problems

PMIs show still-elevated but slowing US inflation

AI boosting US investment in data centers

US productivity growth has been significantly faster than in other major economies

Consumers' short-term US inflation expectations still elevated while longer-term expectations of financial markets are steady

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Michael J. Moran

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The report on payroll employment for March was impressive when viewed in isolation. Job growth was strong at 178,000, and the advance was broadly based. The construction and manufacturing sectors both posted solid gains, and the service-producing sector registered its firmest performance in more than a year. However, the gain might be viewed as a continuation of an unusual bout of random volatility. The March advance followed a notable drop in February (-133,000, revised down from -92,000), which followed an upside surprise in January (160,000, revised up from 126,000).

To be sure, statistical noise has been a factor in the past three months, but the results also represent an encouraging shift in job growth from that in the second half of last year, when employment rose only marginally in the third quarter and fell in the fourth. The net change in the past three months seems to signal that job growth is not drying up. The net advance so far this year is far from brisk, but it is clearly in the plus column and noticeably better than results in late 2025.

The unemployment rate also might be viewed as favorable, as it dipped 0.1 percentage point to 4.3%, although it was a “soft” decline. That is, employment as measured by the household survey declined 64,000, but the size of the labor force fell by a larger amount (off 396,000). Still, the jobless rate has climbed only modestly higher since the labor market started to ease in 2023, and it has inched lower in the past few months.

Unemployment has been contained despite modest hiring because layoffs also have been light. Initial claims for unemployment benefits have moved sideways in the past few years, indicating no change in the pace of layoffs. This pattern is confirmed by terminations data in the report on job openings and labor turnover (JOLTs) from the Bureau of Labor Statistics.

A supply-side shift in the labor market also has helped to contain the unemployment rate. Growth in the size of the labor force has slowed, and with fewer individuals seeking employment, those searching are more easily absorbed. Measures of the size of the labor force can be difficult to assess because there are breaks in the series every year. The Bureau of Labor Statistics adjusts the population controls used in its estimating procedure every January without revising past data to align with the new estimates. Thus, every January involves a discontinuity in the series, which will distort year-over-year changes.

However, Haver Analytics maintains a smoothed series originally developed by BLS to eliminate the breaks in the labor force data. As shown in the chart below, the smoothed series on the size of the labor force had been growing at a pace centered on 1.2% through 2022, but it has slowed irregularly since then (an observation for October is not available because of limited data collection during the government shutdown). The overall labor force is still growing, but the slower pace means fewer individuals looking for work, which most likely results in fewer being counted as unemployed.

The BLS collects data every month on both native-born and foreign-born individuals in the labor force. The breaks in these series are an issue, and Haver does not maintain smoothed series. However, the use of moving averages achieves enough smoothing to provide a sense of underlying changes. The native-born labor force has moved erratically in the past couple of years, but it has continued to advance. The foreign-born labor force, in contrast, seems to have peaked in mid-2025 and has generally declined since then.

The employment and earnings data are collected from surveys taken each month during the week containing the 12th day of the month. The labor market data are contained in Haver's **USECON** database. Detailed figures are in the **EMPL** and **LABOR** databases. The expectations figures are in the **AS1REPNA** database.

260403C.jpg

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- The jump of 178,000 in payroll employment in March easily exceeded the expected gain of 51,000.
- Following a net gain in January and February, the employment setting seems to have brightened slightly.
- A dip in the unemployment rate continued the recent pattern of marginal changes.

Payroll Employment: Another Surprise in March, The Third Consecutive

Robert Brusca

260403E.jpg

French manufacturing industrial production was flat in February after a January rebound; output rose by 0.2% following a 0.8% decline in December.

The components of industrial production in February showed 2.6% increase in consumer durables, a 0.4% increase in consumer nondurables, flat output from capital goods, and a 0.7% month to month decline in intermediate output.

Sequentially, French output had been growing at a slow, steady pace of 0.8% at an annual rate over both 12 months and six months, but then slipped to a 6.1% contraction at an annual rate over three months. Consumer durable goods output on this span shows consistent increases, but there are no trends to clear acceleration or deceleration. Consumer nondurables trace an accelerating path of moderate means from -1.8% over 12 months, to -0.4% over six months, and then rising at a 5.5% annual rate over three months. Capital goods output is moving in the opposite direction, growing by 3.4% over 12 months, slowing to a 0.7% annual pace over six months, and then contracting at a 9.5% annual rate over three months. Intermediate goods output is falling at 0.8% pace over 12 months, but then it switches to an expansion rate of 0.8% over six months and 0.6% and over three months. There's nothing remarkable about these patterns, except there's some acceleration, some deceleration, and a lot of mulling about at low growth rates.

As a separate item, French auto production is slipping and decelerating, falling by 7.1% at an annual rate over 12 months, falling at a 7.9% pace over six months, and then plunging at a 19.3% annual rate over three months. On these same horizons, motor vehicle registrations fall by 14.7% over 12 months; the weakness pares back to an 11.2% annual rate decline over six months, and then it steps up to a 22.1% decline at an annual rate over three months. French demand for autos is not in good shape.

In the quarter to date—now two months into the first quarter—manufacturing industrial production is falling at a 0.8% annual rate. That pace is boosted by 9.4% annual rate gain in consumer durables output but restrained by just a 0.2% annual rate increase in consumer nondurable goods. Capital goods output is falling at a 1.9% annual rate, while intermediate goods output is falling at a 1% annual rate. Also in the quarter to date, automobile production is plunging at a 24.3% annual rate, while on the demand side, motor vehicle registrations are falling at a 15% annual rate.

French manufacturing data are somewhat confusing. The chart shows that the industrial production trend has been showing consistent increases over 12 months, but it has recently been pulling back relatively sharply. On the other hand, the manufacturing PMI for France has been consistently negative going back to mid-2022 and only in early 2026 has the manufacturing PMI been posting some values above the 50% mark, indicating that output was starting to actually expand. In March, the PMI reading for manufacturing has slipped back by the thinnest margin below the 50% mark.

260403.jpg

Of course, events in the Middle East make everything more speculative, with the war effectively closing the Strait of Hormuz and no certainty about how or when that is going to be sorted out. In the meantime, the potential threat of ongoing oil price pressures has put both the ECB and the Bank of England in a position to be more wary with policy, and they warned markets about the potential for rate hikes as soon as their next meetings are engaged. That also raises questions about the outlook for growth. But we continue to track and chronicle trends in the data. It's also quite clear that we could have events that will play out that could completely undermine these trends before they get a chance to run to conclusion. It's an important time to be wary and watch all developments—a lot is in play.

France

French IP Waffles

Kathleen Stephansen, CBE

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Initial claims for unemployment insurance declined by 9,000 to 202,000 in the week ending March 28, from 211,000 in the week ending March 21, revised from 210,000. The four-week average declined 3,000 to 207,750 in the week ending March 28, from 210,750 the March 21 week, revised from 210,500. The Forecast Survey looked for 212,000 claims to have been filed.

The total number of unemployment insurance beneficiaries—also known as “continuing claims”—rose by 25,000 to 1.841 million in the week ending March 21, from 1.816 million in the week ending March 14. The four-week moving average declined to 1.839 million in the latest week from 1.846 million in the March 14 week. This is the lowest level for this average since September 28, 2024 when it was 1.834 million. The insured unemployment rate remained at 1.2% in the week of March 21. It has remained at that level since the week of November 29, 2025.

The insured unemployment rate varied greatly across individual states and territories. In the week ending March 14, the highest unemployment rates were in Rhode Island (2.83%), New Jersey (2.73%), Massachusetts (2.66%), Washington (2.39%), Minnesota (2.31%), California (2.17%), and New York (2.01%). The lowest rates were in Florida (0.31%), Louisiana (0.32%), Arkansas (0.36%), Alabama (0.38%), and North Carolina (0.40%). Rates in other notable states include Illinois (1.99%), Connecticut (1.82%), Pennsylvania (1.72%), 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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- New claims declined by 9,000 to 202,000.
- Continuing claims rose by 25,000 to 1.841 million.
- The insured unemployment rate remained at 1.2%.

U.S. Initial Unemployment Claims Edged Down in the Week of March 28

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The S&P manufacturing PMIs for March showed improvements in 44.4% of the 18 reporters. The median reading for the month was at 50.9, indicating that expanding output was the median reading through the period. The median change showed a small step back of 0.1 diffusion points month-to-month.

Sequentially, looking at average yearly activity compared to a year ago, six months compared to 12 months, and three months compared to six months, we see progress in train. For three months compared to six months, the proportion of reporters showing improvement is 72.2%. For these reporters, over six months compared to 12 months, there is a 61.1% improvement proportion, while for 12 months compared to 12 months ago, there is only a 27.8% improvement.

The median reading over three months on average is 50.7, while the median reading over six months is 50.0 and the median reading over 12 months is 49.4. These readings show a very slow but steady improvement in manufacturing over this horizon.

In addition, we calculate the queue percentile standings for each reporter—that is, the level of the current diffusion index compared to all of the observations back to January 2022, expressing the final number as the percentile standing for the current month in that queue. On that basis, the median percentile standing for this group of reporters is 76.5%. It tells us that the median standing is in the top 25 percentile of all the readings since January 2022 to date. That's a reasonably good result. For the euro area, the queue percentile standing is at the 89.8 percentile, while for Germany it's at its 91.8 percentile. For the Monetary Union and for Germany, the current numbers are some of the best we've seen during this period. However, that doesn't mean that they're necessarily stellar readings.

**PMI diffusion vs. PMI rank standings**
German diffusion in manufacturing is 52.2 in March; for the EMU it is 51.6. Germany posts the fourth-highest PMI rank standing and the fifth highest raw standing in March. The highest standing among all reporters is 52.6 from South Korea. This is a period in which no country was posting very strong manufacturing results. In fact, the United States, with a manufacturing PMI rank standing of 79.6, has a diffusion reading in March just a tick below Germany’s whose queue standing at 91.8 seems miles ahead of the U.S.—but it isn’t. Remember that the queue standings are about relative positioning.

Looking at the details, we see that below-median rank readings were logged by Mexico, Russia, India, Brazil, Indonesia, and Turkey. The Asian markets and developing economies seem to have a harder time working up to the standards achieved by other countries.

We also have averages by certain groups of countries. For example, the U.S., the U.K., the Monetary Union, Canada, and Japan—an expanded G10 groping—had an average reading of 51.3 in March, and for that group of countries, the improvements have been steady from 12 months to six months to three months. For the BRIC countries in March, the average standing was 50.4, and for that group there has been a very slight ongoing erosion. For the Asian group, on average, the March reading is 51.2, and there has been a progression to stronger readings from 49.9 over 12 months to 50.5 over six months and to 50.8 over three months.

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On balance, manufacturing was quite uneven in March; however, there's a progression of improvement that is still in place. But with rising oil prices, war in Iran, and lots of knock-on effects to supply trains, it's likely that these readings are going to fall on harder times in the months ahead—unless the Iran war can be wrapped up in very, very, short order. According to the Baltic Dry index, there hasn't been much reduction in global shipping of dry goods. That index excludes oil and other wet goods shipments that clearly have been impeded. However, giving it more time, we may see that the dry index begins to show some difficulties.

Global Manufacturing PMIs Stall—Will It Get Worse?

Andrew Cates

**Global shipping costs**
The Baltic Dirty Tanker Index has surged to multi-year highs, reflecting a sharp tightening in global oil shipping markets. The primary driver is the escalation in Middle East tensions, particularly the effective disruption to flows through the Strait of Hormuz—a critical artery for roughly a fifth of global oil trade. Heightened security risks, including missile and drone attacks on vessels and port infrastructure, have forced rerouting, increased insurance premia and reduced effective tanker supply. At the same time, longer voyage distances—especially for Gulf exports diverted around the Cape—are tying up capacity and amplifying rate pressures. The result is a classic squeeze: constrained supply of available ships meeting elevated demand for transport, pushing freight costs sharply higher.

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**Supply Chain Bottlenecks**
Flash PMI data point to a renewed build-up of supply chain pressures across the major economies. Supplier delivery times—where readings below 50 indicate slower deliveries—have deteriorated in both the US and UK, with the latter showing a particularly sharp decline. The euro area, while more stable, is also drifting in the same direction. This broad-based softening suggests that the disruptions visible in energy and shipping markets are now feeding into the real economy. Longer delivery times are typically an early indicator of tightening supply conditions, rising input costs and, ultimately, renewed pipeline inflation pressures. While not yet at the extremes seen during the pandemic, the direction of travel is clear: supply chains are becoming less efficient just as geopolitical risks intensify.

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**Policy Uncertainty Versus Market Volatility**
A striking divergence is emerging between policy uncertainty and financial market volatility. The US Economic Policy Uncertainty Index has risen sharply, reflecting the intensifying geopolitical backdrop, trade disruptions and an increasingly complex policy environment. By contrast, the VIX—while off its lows—remains relatively contained by historical standards. This gap suggests that financial markets may be underpricing the scale and persistence of current risks. Either uncertainty begins to recede, or market volatility has further to rise. For now, the message is clear: policymakers are operating in a far more uncertain world than markets appear to be discounting.

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**Oil Prices and Monetary Policy** 
The sharp rise in oil prices is once again feeding directly into short-term interest rate expectations, with a strong positive correlation evident between WTI and US 2-year Treasury yields. As energy prices surge, markets are reassessing the near-term inflation outlook and the likely policy response, pushing yields higher. This reflects a familiar dynamic: energy shocks tighten financial conditions not just directly, but via expectations of more restrictive monetary policy. That said, there are important caveats. Medium-term market-based inflation expectations remain relatively well contained, suggesting credibility in central banks’ ability to anchor inflation over time. Moreover, recent communication from Fed Chair Powell indicates that the Federal Reserve is in no immediate hurry to raise rates, pointing instead to a more cautious, data-dependent approach in the face of heightened uncertainty.

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**Loose Labour Markets**
Wage growth across the US, UK and euro area continues to moderate, pointing to a gradual loosening in labour market conditions. The sharp post-pandemic surge in wage pressures—particularly pronounced in the US—has clearly faded, with all three regions now on a downward trajectory. This matters in the current context: while the oil shock is pushing headline inflation higher and complicating the near-term outlook, easing wage dynamics reduce the risk of persistent second-round effects. In turn, this lessens the urgency for central banks to respond aggressively with tighter policy. The result is a more nuanced policy backdrop—one where energy-driven inflation pressures are rising, but underlying domestic cost pressures are moving in the opposite direction.

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**Headline Inflation in Advanced Economies**
Despite the recent energy shock, broader inflation dynamics across advanced economies remain relatively well behaved. The euro area HICP flash estimate rose from 1.9% in February to 2.5% in March, driven largely by higher energy prices. However, core inflation edged down to 2.3% from 2.4%, suggesting that pass-through into underlying price pressures remains limited for now. More generally, inflation across many advanced economies continues to hover close to central bank targets—a marked contrast to the peaks seen in 2022. While higher oil prices will almost certainly continue to lift headline inflation in the near term, and the risk is clearly tilted toward further upside, the broader picture for now remains one of relatively contained underlying pressures. This suggests the current shock is more likely to complicate the disinflation process—potentially slowing or interrupting it—rather than decisively reversing it, though the balance of risks has become less favourable.

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Amid tentative signs of de-escalation from the US administration over the past 48 hours—including suggestions that the conflict with Iran could conclude relatively quickly—financial markets have begun to retrace some of last week’s sharp repricing of Middle East risk. Oil prices have come off their highs, while equities and bonds have rallied as risk premia ease. That said, the earlier phase of the week saw a decisive adjustment: oil surged, front-end yields moved higher, and uncertainty rose as investors grappled with the implications of disrupted energy flows. Even now, the overall adjustment has been uneven—volatility has picked up, but not to levels typically associated with sustained geopolitical stress—raising questions about how fully markets are internalising both the risks and the rapidly shifting outlook. Our charts this week capture these cross-currents. Tanker rates have spiked as shipping routes are disrupted and capacity tightens (chart 1), while PMI delivery times point to early signs of supply chain strain feeding into the real economy (chart 2). At the same time, the divergence between elevated policy uncertainty and relatively contained market volatility suggests there could have been a degree of complacency (chart 3). The rise in oil prices is already feeding into higher short-term yields, though this is being tempered by cooling labour markets, anchored inflation expectations and more cautious central bank signalling (charts 4 and 5). Meanwhile, euro area flash CPI has picked up, but core inflation remains relatively benign, suggesting underlying price pressures are still contained for now (chart 6).

Economy in Brief

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