The correlation coefficient quantifies the degree of linear relationship between two assets, such as different currency pairs or stocks. A coefficient of 1 indicates perfect positive correlation, meaning that the assets move in the same direction, while -1 indicates perfect negative correlation, where one asset moves inversely to the other. A value around 0 suggests that there is no significant correlation.
For instance, if two currency pairs, EUR/USD and GBP/USD, have a correlation coefficient of 0.85, it indicates that they tend to move together most of the time. Traders often use correlation coefficients to diversify their portfolios by selecting assets that do not correlate strongly with one another, aiming to reduce risk. It's important to note that correlation can change over time due to market conditions, making ongoing analysis essential. Other related concepts include covariance, which measures the directional relationship between assets, and beta, which indicates an asset's volatility compared to the market.