Homoskedasticity

It means the same variance. It is the condition where the error or the unsystematic division of noise in relationships between dependent and independent variables is almost the matching across all the patterns.

In simple terms, it means having the same scatter with the set of data where the points are at the same distance from the axis. 

The term is used to compare two or more different types of groups of different sizes like real commodity prices, real estate as an asset class, or retail hedge funds.

It is used to suggest that an equal level of inconsistency between quantitative dependent and across the range of independent, variables can be continuous or categorical.

The entry in such an area focuses on determining and evaluating uni-variant and multi-variant environments.