A negative correlation indicates a contrary relationship between the variables. Suppose ‘A’ and ‘B’ are expected to rise together when either one increases. However, this won’t be the result when they are negatively correlated. Instead, A would be inversely proportional to B. If an inverse relation was expected from A and B to produce the desirable outcome, then a negative correlation is beneficial and necessary. Hence, it depends on the requirement of the analyst and not on the connotation of the term.