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Stock Correlation Network

A stock correlation network is a graphical representation of the relationships between the price movements of different stocks. Stocks that move together, either positively or negatively, are connected by edges in the network, with the strength of the connection reflecting the correlation between their price movements. Investors use stock correlation networks to analyze how stocks are related, helping them to diversify portfolios or identify trading opportunities based on correlated movements.

Example

A stock correlation network may show a strong positive correlation between two companies in the same industry, such as tech giants, whose stock prices tend to move together.

Key points

Visualizes the correlations between the price movements of different stocks.

Helps investors analyze stock relationships for diversification or trading.

Connections reflect the strength and direction of the price correlations.

Quick Answers to Curious Questions

By identifying stocks with low or negative correlations, investors can reduce portfolio risk through diversification.

It suggests that the stocks tend to move in the same direction, either rising or falling together.

Traders can look for patterns in correlated movements to time trades or create strategies based on the relationships between stocks.
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