Correlation Formula:
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The correlation coefficient (ρ) measures the strength and direction of the linear relationship between two variables, such as stock returns. It ranges from -1 (perfect negative correlation) to +1 (perfect positive correlation), with 0 indicating no linear relationship.
The calculator uses the correlation formula:
Where:
Explanation: The formula standardizes the covariance by the product of the standard deviations, resulting in a dimensionless measure between -1 and 1.
Details: Correlation is crucial in portfolio diversification. Low or negative correlations between assets can reduce overall portfolio risk. Investors use correlation to construct balanced portfolios that minimize volatility.
Tips: Enter the covariance between two stocks and their respective standard deviations. All values must be valid (standard deviations > 0). The calculator will compute the correlation coefficient.
Q1: What does a correlation of 0.8 mean?
A: A correlation of 0.8 indicates a strong positive relationship - when one stock moves, the other tends to move in the same direction 80% of the time.
Q2: How is correlation different from covariance?
A: Covariance measures the direction of the relationship but is not standardized, while correlation is standardized and ranges from -1 to 1, making it easier to interpret.
Q3: What is considered a good correlation for diversification?
A: For effective diversification, look for correlations below 0.7. Ideally, correlations between 0 and -0.3 provide the best diversification benefits.
Q4: Can correlation change over time?
A: Yes, correlations between stocks can change due to market conditions, economic factors, and industry trends. It's important to regularly update correlation calculations.
Q5: How often should I calculate stock correlations?
A: For active portfolio management, calculate correlations quarterly or when significant market events occur. For long-term investing, annual calculations may be sufficient.