All 30 Rolling Forecasts questions
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What forecasting techniques are used to build rolling forecasts? What is the difference between a moving average and exponential smoothing? How does scenario planning complement rolling forecasts? How often should a rolling forecast horizon extend, and why? How do you calculate and apply seasonal indices? What is forecast bias and how do you correct it? How do you present a rolling forecast to management effectively? How do rolling forecasts fit with 'beyond budgeting'? How do you handle seasonality and trend in forecasting? How do you measure and improve forecast accuracy?
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Budgeting & Forecasting › Rolling Forecasts

What is time-series analysis and its main components?

Intermediate

Answer

Time-series analysis forecasts by extrapolating patterns in historical data over time, decomposing the series into trend (long-term direction), seasonal (regular periodic patterns), cyclical (longer economic cycles), and random/irregular components. Isolating these lets you project the systematic parts forward.
Real-world example Decomposing monthly sales into trend and seasonality lets the analyst project the next 12 months.

Common follow-ups: What are the components of a time series? | Why decompose them?

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All 30 Rolling Forecasts questions