Stratified sampling
Dividing a population into groups that share a characteristic and sampling randomly within each, in proportion to its size. More precise than simple random sampling when the groups differ.
Where you will meet it
Stratified sampling appears in 3 learning outcomes on the CFA syllabus. A few of them:
- Set out the segments of the bond market and the kinds of bond indexes
“Replicating a bond index fully is impractical because of its many illiquid issues and constant turnover, so managers typically use stratified sampling.”
- Contrast ways of sampling and explain sampling error
“Simple random sampling gives every member an equal chance; stratified sampling divides the population into groups and samples within each, which improves precision when the groups differ.”
- Weigh full replication against stratified sampling and optimisation as ways to build an index-tracking equity portfolio
“Stratified sampling divides the index into cells, for example sector by size, and holds a sample of stocks in each cell so that cell weights match the index; it suits broad indexes and smaller portfolios.”
Practise it
Practise stratified sampling until it is automatic: questions that explain every wrong option.
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