A group of economists is finishing up a prognosis that will inform clients that the US economy is on the verge of a soft landing somewhere on the 30th level of a glass tower in Midtown Manhattan. A different team is updating a note four blocks away in a different building with a different logo on the door, stating that a moderate recession is more likely than the consensus indicates. Neither group is inventing anything. They are both examining essentially the same data.
The fact that they reach different results is, in an odd way, exactly how it’s supposed to function, not a scandal or a failure of analysis. However, it does put investors, entrepreneurs, and regular people attempting to make financial decisions in the awkward situation of receiving entirely different responses to the same query: where does America go from here?
A few structural characteristics that are rarely adequately addressed outside of academic finance discussions account for the discrepancy in the estimates of major investment banks, including Goldman Sachs, JPMorgan, and Morgan Stanley. The most basic is that every bank employs unique economic models with varying weights assigned to indicators. One organization may base its forecast mostly on consumer spending that has been adjusted for inflation, viewing household purchasing power as the main driver of the economy.
Another may interpret the same consumer spending data as secondary noise rather than the primary signal, giving factory indices or global supply chain circumstances more weight. These decisions are not made at random; rather, they are a reflection of each bank’s cumulative analytical beliefs, the industries that their economists have dedicated their professional lives to researching, and the customers whose portfolios they eventually manage.
The clientele is more important than it may appear. A bank with extensive exposure to regional business lending and commercial real estate develops an economic intuition influenced by local employment patterns, small business credit demand, and vacancy rates in mid-size American cities.
A bank whose operations are driven by international commodities trading and Silicon Valley tech mergers develops a totally different instinct, using deal flow, equity valuations, and cross-border capital movement to gauge the state of the economy. They are both valid lenses. They simply don’t always point in the same direction, and when you compare the forecasts side by side in a Bloomberg terminal, the difference may seem concerning to someone who was hoping for a single, reliable response.
The difference is most noticeable and, practically speaking, most significant when it comes to Federal Reserve policies. Even with perfect data, it is notoriously difficult to predict what the Fed will do with interest rates. Banks that run identical economic inputs through their models frequently produce different rate cut or rate hike projections.
This is not because of errors, but rather because the models themselves embed different assumptions about how the Fed weighs inflation against employment, how quickly it responds to incoming data, and how much weight it places on financial stability versus price stability. Obtaining better data won’t solve it. The model contains a judgment call, and several institutions have reached different conclusions.
Observing various forecasts spread and occasionally contradict one another in a single week gives the impression that the real lesson is more about what the disagreement itself indicates than it is about whether bank is correct. The inability of Goldman, JPMorgan, and Morgan Stanley to reach a consensus indicates that the state of the economy is truly unknown, not that one of them is acting irresponsibly.
Instead of focusing on the most accurate individual prediction, the practical solution is to look for the form of the consensus: what do the majority of banks agree upon, even if the specifics differ? Even if that consensus is only partially shared, it is typically more trustworthy than any institution’s assured forecast of America’s future.
