Time Series
Chapter notes, video classes, MCQ practice tests and quick-revision one-liners for Advanced Bank Management — CAIIB.
One-liners from this chapter
Free sample — 8 of 65 rapid-fire Q&A cards.
What is a time series in the context of statistical analysis?
A time series is a set of observations recorded sequentially over time at equal or unequal intervals, used to study patterns and make forecasts.
What is the primary goal of time series decomposition?
To separate trend, seasonal, cyclical, and irregular components.
What are the four main components of a time series?
The four components are Secular Trend (T), Seasonal Variation (S), Cyclical Variation (C), and Irregular or Random Variation (I).
What is a trend-cycle component in time series analysis?
Long-term movement combined with medium-term cyclical fluctuations.
What does secular trend represent in a time series?
Secular trend represents the long-term, smooth movement in a time series over an extended period, such as a steady rise in bank deposits over decades.
How is a 3-year moving average calculated for a time series?
By averaging each consecutive set of three yearly values.
What is seasonal variation in a time series?
Seasonal variation refers to regular, periodic fluctuations that recur within a year due to seasons, festivals, or customs, such as increased loan demand before Diwali.
What does a seasonal index of 80 indicate for a particular quarter?
That quarter's value is typically 20% below the annual average.
Video classes for this chapter
More chapters in Module A - Statistics
Master the full ABM syllabus
Every chapter of Advanced Bank Management — videos, tests, notes and one-liner decks in one place.