What is Z-Score Normalization?

Z-score normalization transforms a value by subtracting the mean and dividing by the standard deviation: z = (x - μ) / σ. This produces a standardized score where 0 is the mean, positive values are above average, and negative values are below. In financial analysis, Z-scores enable comparison across different time periods and assets by putting metrics on a common scale.