Comparing to full replication, stratified sampling has obvious advantages: lowest costs, possibility of indexing to large component containing index.
As for optimization it is more costly than stratified sampling and tracking error can be higher as risk factors are dynamic and can be wrongly modelled and so on.
So I know about optimization drawbacks, but what are its advantages? Are there any? I did not find in the texts.
As for optimization it is more costly than stratified sampling and tracking error can be higher as risk factors are dynamic and can be wrongly modelled and so on.
So I know about optimization drawbacks, but what are its advantages? Are there any? I did not find in the texts.