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What is Rolling Forecast?

Published in Forecasting 3 mins read

A rolling forecast is a method of predicting future financial or business performance that continuously updates predictions by adding a period (e.g., a month, quarter) and dropping the oldest period. It essentially maintains a forecast horizon of a fixed length.

Understanding Rolling Forecasts

Unlike traditional annual budgets which are typically created once a year, a rolling forecast is constantly updated. This provides a more dynamic and accurate view of the future, allowing businesses to adapt to changing market conditions more effectively.

Key Characteristics:

  • Continuous Updates: Forecasts are updated regularly (e.g., monthly, quarterly).
  • Fixed Horizon: The forecasting period remains constant (e.g., always forecasting the next 12 months).
  • Dynamic Adjustment: Incorporates the most recent actual data and market insights.
  • Improved Accuracy: Offers potentially better predictions compared to static annual budgets, especially in volatile environments.

How Rolling Forecasts Work

  1. Initial Forecast: A forecast is created for a set period (e.g., the next 12 months).
  2. Periodic Updates: At the end of each period (e.g., month), the actual results are compared to the forecast.
  3. Adjustment and Extension: The forecast is adjusted based on the actual results and any new information. The oldest period is dropped, and a new period is added to maintain the fixed horizon.

Example:

Imagine a company uses a 12-month rolling forecast.

  • January: They create a forecast for January to December.
  • February: They review January's actual performance, update the forecast for February to December, and add a forecast for the following January (to maintain a 12-month view).
  • This process repeats each month.

Advantages of Rolling Forecasts

  • Better Decision-Making: Provides a more accurate and up-to-date view of the future, allowing for more informed decisions.
  • Improved Resource Allocation: Enables businesses to allocate resources more effectively based on the latest forecasts.
  • Enhanced Adaptability: Helps businesses respond quickly to changing market conditions and opportunities.
  • Continuous Improvement: Encourages ongoing monitoring and refinement of the forecasting process.
  • Increased Accountability: Makes managers more accountable for their forecasts and performance.

Disadvantages of Rolling Forecasts

  • Increased Effort: Requires more time and resources than traditional budgeting.
  • Potential for Over-Reaction: Frequent updates can lead to over-reacting to short-term fluctuations.
  • Complexity: Can be more complex to implement and manage than traditional budgeting.

When to Use Rolling Forecasts

Rolling forecasts are particularly useful in:

  • Fast-growing companies.
  • Industries with rapid technological change.
  • Volatile market conditions.
  • Companies with a strong focus on performance management.

In conclusion, a rolling forecast offers a dynamic and adaptive approach to predicting future performance, providing significant advantages in volatile and rapidly changing environments by ensuring a continuous and up-to-date view of the future.

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