Why Professional Forecasts Are Weaker Than They Sound
Posted: Wed Oct 07, 2026 8:33 pm
Why Professional Forecasts Are Weaker Than They Sound
Currency forecasts arrive with confident numbers: EUR/USD at 1.15 in twelve months. Studies of their accuracy suggest caution.
Research on exchange rate forecasting has a long history. A famous finding, from work in the early 1980s by Meese and Rogoff, showed that economic models struggled to beat a simple random walk, which assumes the best forecast is today's rate, over short horizons. Later studies found some predictability at longer horizons, but the results are mixed and unstable.
Surveys of professional forecasters show wide errors. Forecasts tend to extrapolate recent trends, and they often miss turning points. Analysts also tend to cluster around consensus, since being wrong with the crowd is less costly than being wrong alone.
Why is it so hard? Exchange rates depend on many factors that interact and change: interest rates, growth, politics, flows, and sentiment. Expectations are already reflected in prices, so only surprises move them, and surprises are by definition unpredictable.
This does not mean analysis is useless. Understanding drivers helps frame scenarios and risks. But precise targets deserve skepticism.
A better use is to think in terms of ranges and probabilities, and to focus on risk management rather than prediction.
Test it yourself: record forecasts you read and compare them with outcomes after the stated horizon.
Practical step: collect three published twelve-month forecasts for a pair, and check them against actual prices when the dates arrive.
Currency forecasts arrive with confident numbers: EUR/USD at 1.15 in twelve months. Studies of their accuracy suggest caution.
Research on exchange rate forecasting has a long history. A famous finding, from work in the early 1980s by Meese and Rogoff, showed that economic models struggled to beat a simple random walk, which assumes the best forecast is today's rate, over short horizons. Later studies found some predictability at longer horizons, but the results are mixed and unstable.
Surveys of professional forecasters show wide errors. Forecasts tend to extrapolate recent trends, and they often miss turning points. Analysts also tend to cluster around consensus, since being wrong with the crowd is less costly than being wrong alone.
Why is it so hard? Exchange rates depend on many factors that interact and change: interest rates, growth, politics, flows, and sentiment. Expectations are already reflected in prices, so only surprises move them, and surprises are by definition unpredictable.
This does not mean analysis is useless. Understanding drivers helps frame scenarios and risks. But precise targets deserve skepticism.
A better use is to think in terms of ranges and probabilities, and to focus on risk management rather than prediction.
Test it yourself: record forecasts you read and compare them with outcomes after the stated horizon.
Practical step: collect three published twelve-month forecasts for a pair, and check them against actual prices when the dates arrive.