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In this tutorial, Joshua Carr demonstrates a dynamic financial model for occupancy forecasting. He addresses a common query about adjusting leasing schedules based on projected fill times. He explains that by setting a target month for full occupancy, the model can flexibly adapt to different scenarios—whether it fills by month 4, 6, or 8. To implement this, he uses a basic IF statement: if the current month is equal to or exceeds the target month for occupancy, it assigns a value of 1 (indicating filled), or 0 (indicating not filled). This method generates a binary output allowing adjustments to the leasing schedule based on the expected timeline for reaching full occupancy.
