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Time Series Analysis

Define time series analysis in banking context.
Statistical technique applied to data recorded against a time base to forecast deposits, credit, NPAs, and other metrics.
What are the two variables in every time-series problem?
Dependent variable (value measured: deposits, NPA %, exchange rate) and independent variable (time).
Name four purposes of time series analysis in banking.
Review historical baseline, study past behaviour, compare across periods, predict future, forecast trade cycles.
Define secular trend and distinguish linear from curvilinear.
Long-period smooth direction. Linear: constant rate of change. Curvilinear: rate of change itself shifts over time.
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