Every month, headlines tell us whether economic data “beat” or “missed” expectations. The implication is that expectations are some sort of benchmark the economy either passed or failed. I don’t think that’s a particularly useful way to think about them.
Expectations aren’t a scorecard. They’re simply the output of a model. Before a jobs report or inflation release, economists and institutions build forecasts using the information available to them. Those forecasts represent one of many possible outcomes they believe is most likely at that moment.
When the actual data is released, nothing has “won” or “lost.” Reality has simply replaced a forecast. The models are updated, future probabilities are revised, and investors adjust their allocations accordingly. It’s less about being right or wrong than it is about incorporating new information.
This is one reason I don’t spend much time worrying about the consensus expectation itself. I’m far more interested in the assumptions that produced it. What variables were included? Which ones were ignored? Are there inputs I should incorporate into my own thinking, or does my model already account for them?
I don’t want someone else’s conclusion. I want to understand how they arrived there. In investing, the quality of your thinking depends far more on the process than on any single forecast. Every new piece of data is simply another opportunity to refine the model.
