What is Time series forecasting?
In short
Time series forecasting predicts future values from a variable's own past values, separating trend, seasonal, cyclical and irregular components.
Key takeaways
- Methods include moving averages and exponential smoothing, which weights recent data more heavily.
- It assumes past patterns will continue, so it handles sudden changes poorly.
- Regression instead uses other variables to explain the one being forecast.
Where it's tested
BAR: Financial Forecasting, Budgeting & Valuation — study notes, a five-minute revision sheet and practice questions.
Practise: 3 questions
Question 1 of 3 · 0 answered
A product sells for $80 with variable costs of $50 per unit. Fixed costs are $360,000. How many units must be sold to earn a target operating profit of $90,000?