HomeFinance & EconomicsInvestingWhat is Correlation?
Finance & Economics·2 min·Updated Mar 11, 2026

What is Correlation?

Correlation

Quick Answer

Correlation is a statistical measure that describes the relationship between two variables. It indicates how one variable may change in relation to another, helping investors understand patterns and trends in financial data.

Overview

Correlation is a way to see how two things are related to each other. In finance, it helps investors understand how different assets move together. For example, if the stock price of Company A goes up when the stock price of Company B goes up, they have a positive correlation. This means that when one stock performs well, the other is likely to perform well too. Understanding correlation is important for investors because it can inform their decisions. If two investments are highly correlated, it might be risky to hold both at the same time. For instance, if an investor has shares in two tech companies that often move together, they might not be as diversified as they think. If the tech sector faces a downturn, both investments could drop in value at the same time. Investors often use correlation to build a balanced portfolio. By including assets that are not correlated, such as stocks and bonds, they can reduce risk. If stocks are doing poorly, bonds might perform better, helping to stabilize the overall investment. Thus, understanding correlation can lead to smarter investment strategies and better risk management.


Frequently Asked Questions

A positive correlation means that when one variable increases, the other variable also tends to increase. This relationship can help investors identify trends in the market.
A negative correlation occurs when one variable increases while the other decreases. This can be useful for investors looking to balance their portfolios by including assets that move in opposite directions.
Correlation is measured using a statistic called the correlation coefficient, which ranges from -1 to 1. A coefficient close to 1 indicates a strong positive correlation, while a coefficient close to -1 indicates a strong negative correlation.