Forecast economic trends

Build the quarterly economic forecast spreadsheet for the corn market and send the draft to Elena in strategy and to Dr. Patel for model validation, signers in that order, with a Thursday noon deadline so we can brief the board Friday — check that the model reference year is 2024 throughout and that scenario sheets recalculate when I change the price assumption.

Before I share this corn market forecast with strategy, make it easy to act on. Put the headline projection and probability-weighted price at the top, make the sensitivity table findable on one sheet, and call out three assumptions that would make a reviewer hesitate — weather, export policy, and input costs — so Elena can approve faster.

I updated fertilizer cost assumptions and the price forecast jumped 10 percent. I am the forecaster, Elena will assess implications, and traders will act on it. I cannot tell whether the jump is a model bug, a data error, or a genuine sensitivity. What should I check in the spreadsheet first to diagnose whether this is an error, and what immediate guidance should I give Elena and the trading desk?

Across models we repeatedly see large forecast swings after a manual edit to one input cell, costing credibility with strategy and trading. I am the senior economist. Which two long-term fixes stop these flip-flops — one structural change to the workbook and one reviewer habit — and how do I roll them out so traders accept slightly slower updates?