Finance

ECB's new models may help capture shifts in inflation expectations, blog post says

Published by Global Banking & Finance Review

Posted on March 31, 2026

2 min read

· Last updated: April 1, 2026

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ECB's new models may help capture shifts in inflation expectations, blog post says
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FRANKFURT, March 31 (Reuters) - The European Central Bank has developed models to more closely monitor shifts in inflation expectations, it said in a blog post on Tuesday, a potentially crucial

ECB's New Models Enhance Monitoring of Inflation Expectations Amid Rising Energy Prices

ECB Develops Advanced Models to Track Inflation Expectations

Background: Rising Inflation and Energy Prices

FRANKFURT, March 31 (Reuters) - The European Central Bank has developed models to more closely monitor shifts in inflation expectations, it said in a blog post on Tuesday, a potentially crucial innovation as policymakers study whether surging energy prices would require rate hikes.

Inflation is rising quickly around the world as oil prices have nearly doubled since the start of the U.S. and Israeli war on Iran. The ECB has made clear it would raise rates if the energy shock gets entrenched, impacting other goods and services prices via second-round effects.

Challenges in Measuring Inflation Expectations

While policymakers are focusing on expectations as a potential rate hike trigger, its existing metrics all have shortcomings.

Surveys are not frequent enough or do not cover a long enough time horizon while market-based expectations also include risk premiums that are difficult to separate from actual expectations.

Innovative Modeling Approach

"We use a model to transform infrequent survey data into a dense grid of expectations," ECB economists said in a blog post, which does not necessarily represent the bank's views.

"This allows us to infer expectations even for points in time that were not covered by the forecasts," the blog post said. "In other words, for every month, we fill in missing horizons and construct a smooth, monthly curve."

Data Sources and Model Integration

The models enrich information from the ECB's own quarterly Survey of Professional Forecasters and from the Consensus Economics survey.

Risk Premium Adjustment in Market-Based Expectations

Separate models are also used to subtract risk premiums from markets-based expectations and this "clean" estimate closely aligns with survey inflation expectations in the short- and medium-term horizons, the blog added.

Reporting Credits

(Reporting by Balazs Koranyi; Editing by David Gregorio)

Key Takeaways

  • ECB’s model transforms infrequent survey forecasts into a continuous monthly inflation expectations curve by filling missing horizons from quarterly SPF and Consensus Economics data.
  • Separate modeling allows extraction of ‘clean’ market-based inflation expectations by removing risk premiums, closely aligning with survey projections for short- and medium-term horizons.
  • These innovations address limitations of existing metrics—survey data’s low frequency and market measures’ entanglement with risk premiums—thus enhancing real-time policy-relevant insight amid volatile energy shocks.

References

Frequently Asked Questions

What new models has the ECB developed?
The ECB developed models to better monitor shifts in inflation expectations using both survey-based and market-based data.
Why are these new models significant for ECB policy decisions?
These models help policymakers more accurately assess inflation risks and determine if rising energy prices may require rate hikes.
How do the ECB’s models address shortcomings in existing metrics?
They transform infrequent survey data into a more detailed monthly curve and adjust market data to separate risk premiums from actual expectations.
What data sources are used in the ECB's new models?
The models use information from the ECB’s Survey of Professional Forecasters, Consensus Economics surveys, and market-based inflation expectations.
How do the models improve inflation monitoring?
They create a dense, monthly grid of expectations and align risk-adjusted market data with survey data for short- and medium-term horizons.

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