What Is the Concept of “Data Cleansing” in Index Calculation?

Data cleansing is the process of identifying and removing or correcting erroneous, stale, or manipulative price data before it is used to calculate the index. This includes filtering out extreme outliers, prices from non-bona fide transactions, and data during periods of known technical failure.

It ensures the integrity and accuracy of the final index.