How does Pandas handle missing value propagation in arithmetic operations?

Missing values propagate through operations and produce NaN unless explicitly handled.

When performing arithmetic operations, Pandas propagates NaN values to maintain correctness. However, methods like fillna or arithmetic functions with fill_value allow controlled handling of missing data during computations.