The European Central Bank has published details of new modelling efforts designed to track movements in inflation expectations with greater resolution, according to a blog post on Tuesday. The work comes as policymakers weigh whether recent energy price shocks will embed higher inflation and require policy tightening.
Inflationary pressures are climbing rapidly in many regions, the post noted, with oil prices having almost doubled since the start of the U.S. and Israeli war on Iran. The ECB has signalled it would increase interest rates if the energy shock becomes entrenched and feeds through into prices for other goods and services via second-round effects.
Policymakers have placed special emphasis on expectations as a possible trigger for rate action, but the bank acknowledged limitations in current measures. Survey-based indicators, while informative, suffer from low sampling frequency or limited forecast horizons. Market-based measures in turn embed risk premia that are not straightforward to separate from pure expectation signals.
To address these gaps, ECB economists describe a modelling approach that converts intermittent survey observations into a dense, monthly grid of expectations. "We use a model to transform infrequent survey data into a dense grid of expectations," the post said, noting that this process allows the bank to infer expectation values for dates and horizons not directly covered by the published forecasts. In effect, the method fills missing horizons and constructs a smooth, monthly expectations curve.
The models draw on the ECB's quarterly Survey of Professional Forecasters and on the Consensus Economics survey to enrich the information set. In addition, the ECB uses separate models to estimate and remove the risk premium component from market-based expectation measures. The resulting "clean" market-based estimate was reported to be closely aligned with survey-derived inflation expectations over short- and medium-term horizons.
The blog post includes a standard caveat that the analysis does not necessarily represent the official views of the bank. Beyond that note, the write-up focuses on methodological advances that aim to give policymakers a more reliable read on evolving inflation expectations as energy prices and their pass-through effects are monitored for signs of persistence.
Key points
- The ECB has built models to interpolate infrequent survey data into a continuous, monthly curve of inflation expectations.
- Separate modelling is used to strip risk premia from market-based expectations, producing a 'clean' estimate that aligns with survey measures in short- and medium-term horizons.
- Policymakers are monitoring whether a sharp rise in oil prices since the start of the U.S. and Israeli war on Iran will produce second-round effects that would warrant rate increases.
Risks and uncertainties
- Measurement risk - existing surveys and market signals have shortcomings that could obscure the true path of expectations, affecting policy assessment. Sectors impacted: monetary policy transmission, fixed income markets.
- Energy-driven inflation persistence - if the energy shock becomes entrenched and spills into wider goods and services prices, it could prompt ECB tightening. Sectors impacted: energy, consumer goods, broader consumer prices.
- Model limitations - while the models aim to remove risk premia and fill data gaps, the post notes that these are methodological tools and does not claim they represent the bank's official view. Sectors impacted: financial markets and forecasting analysts.