Ask a central banker what they will do at the next meeting and you will probably hear the same answer: it depends on the data. It can sound like a dodge, but it is a deliberate choice. Being data dependent means policymakers refuse to commit to a path in advance, and that choice is a big reason why individual economic releases now move markets so much.
What data dependence means
A data-dependent central bank sets interest rates meeting by meeting, based on the latest information about inflation, jobs and growth. It does not promise to raise or cut by a set amount over a set period. Instead, it tells markets what it is watching and lets the numbers decide.
The Federal Reserve, the Bank of England and the European Central Bank have all used this language heavily in recent years. The ECB has repeatedly said it follows a meeting-by-meeting approach and does not pre-commit to a particular rate path.
Why central banks chose it
Before this approach became common, central banks often used forward guidance, telling markets how long rates would stay low or how quickly they would rise. That worked well when the outlook was stable. But after the inflation surge of 2021 and 2022, many central banks were criticised for sticking too long to guidance that the data had already overtaken.
Data dependence gives them flexibility. If inflation falls faster than expected, they can cut sooner. If it proves sticky, they can hold or tighten without breaking a promise. It also protects their credibility, because they are not tied to forecasts that may prove wrong.
Why every release matters
The downside is that markets have less to anchor on. If policymakers are reacting to each new figure, traders must do the same. A single strong jobs report or a hot inflation reading can swing expectations for the next meeting, moving bond yields, currencies and shares.
That is why releases such as US payrolls and the consumer price index can cause such large moves. Our guides to how payrolls move the dollar and Fed odds and the consumer price index for traders show how that works in practice.
Which data counts most
Data dependence does not mean every number counts equally. Central banks focus on a few key measures. For inflation, they look at core and services prices more than headline figures, which can be swung by energy. For the labour market, they watch wage growth, unemployment and job openings. For growth, they look at spending and business surveys.
Speeches by policymakers often reveal which data they are weighting most heavily. When several officials mention the same indicator, traders pay closer attention to it.
The risks of the approach
Critics say data dependence can make central banks backward looking, because economic data describes the past and is often revised. Monetary policy works with long lags, so reacting only to the latest numbers can mean acting too late.
It can also add volatility. Markets may overreact to noisy monthly figures, swinging between pricing cuts and holds. That makes the communication around each decision, including press conferences and minutes, even more important.
What it means for traders
For traders, data dependence means the calendar matters. Knowing which releases are due, what is expected and how far a surprise could shift rate expectations is a core part of preparation. It also means not assuming a central bank will repeat last month’s move just because it did it before. Our piece on what a Fed hold means for markets explains how a pause is read.
The bottom line
A data-dependent central bank sets policy one meeting at a time based on the latest numbers. That keeps policymakers flexible, but it hands more power to every major release and can make markets jumpier. Preparing for the data calendar is the practical response. If you want to test how well you prepare for data-driven markets, take the free Samuel & Co trader assessment.
