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Lesson · Producer Price Index (PPI)

Dollar slips despite hot US PPI as yields fall: what PPI measures

US September PPI came in at 6.3% against 5.3% expected, yet the dollar slipped as yields fell. We use the day to explain producer prices for new forex traders.

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The US dollar ended Thursday softer even though US producer prices came in far hotter than expected. According to investingLive, the US September Producer Price Index (PPI) printed 6.3% against 5.3% expected, yet US bond yields kept falling through the session.

Investing.com reports that the dollar slipped as the US bond rally offset the hot PPI, and that the euro had its best day in two months. Investing.com also reports the Canadian dollar gained as the dollar retreated. Our sister site has a fuller wrap of how the bond rally outweighed the hot PPI. This morning we covered the Aussie's sharp fall, so tonight we look at the data point that dominated the US session.

What is the Producer Price Index (PPI)?

The PPI tracks the prices that businesses receive for the goods and services they sell. Think of it as inflation at the factory gate or wholesale level, before goods reach the shop shelf. The Consumer Price Index (CPI), which we covered on Wednesday, tracks prices that households pay.

Traders watch PPI because rising costs for producers can later be passed on to consumers. That can push CPI higher, and higher inflation can lead a central bank to raise interest rates. Higher rate expectations often support a currency. That is the textbook link. Thursday showed it does not always play out that way on the day.

A worked example

Start with the surprise. A data surprise is the gap between the actual figure and the forecast.

  • Actual PPI: 6.3%
  • Expected PPI: 5.3%
  • Surprise: 6.3 − 5.3 = 1.0 percentage point above forecast

That is a large miss for a price index. Other US data was mixed. investingLive reports retail sales rose 0.8% against 0.3% expected, while the Philly Fed business index came in at +20.9 against +28.4 expected. In that survey, the prices paid reading fell to 43.2 from 48.6 last month.

Now look at the ECB reference rates for 15 October, compared with the 14 October fixings. These are official once-a-day fixings, not live quotes, so they are a snapshot and do not capture every move later in the US session.

Pair14 Oct fixing15 Oct fixingChange
EUR/USD1.11951.1208+0.12%
USD/CHF0.83340.8302−0.38%
USD/JPY158.45157.98−0.30%
USD/CAD1.42191.4207−0.08%

For EUR/USD: 1.1208 − 1.1195 = 0.0013, or 13 pips. As a percentage: 0.0013 ÷ 1.1195 × 100 ≈ 0.12%. The euro bought more dollars.

For USD/CHF: 0.8302 − 0.8334 = −0.0032. One dollar bought fewer Swiss francs. In each of these four pairs, the fixing shows the dollar weaker than a day earlier. You can follow the pair on a EUR/USD chart or the broader dollar on the US Dollar Index chart.

Why it matters for new traders

A hot inflation number does not guarantee a stronger currency. On Thursday, the sources point to falling US bond yields as the force that outweighed the PPI beat. Currencies respond to the whole picture: several data releases, bond markets and expectations about the central bank.

PPI is also one step removed from consumers. Markets often treat it as an early signal rather than the main event. That can make the reaction less direct than after a CPI release.

Finally, check which data you are looking at. A once-a-day fixing is useful for clean comparisons, but it can miss intraday swings around a release.

Key terms

  • Producer Price Index (PPI): a measure of prices businesses receive for what they sell.
  • Consumer Price Index (CPI): a measure of prices households pay.
  • Data surprise: the difference between the actual figure and the forecast.
  • Bond yield: the return investors earn on a bond; when bond prices rally, yields fall.
  • Reference rate (fixing): an official daily exchange rate, here set by the European Central Bank.
  • Pip: the fourth decimal place in most currency pairs, such as 0.0001 in EUR/USD.

How we make this article: software gathers the market data and the news from the sources linked in the article, then cross-checks them. AI writes the text. People choose the sources, set the rules and run the process. Not investment advice.