Specify up to 15 valid comma-separated
symbols having historical data
Generate output as
Please specify at least 3 valid symbols having historical data to build a meaningful correlation cloud. You can use symbol search above to locate your securities.
Why correlation coefficient is important?
An investor can reduce portfolio risk simply by holding instruments which are not perfectly correlated.
In other words, investors can reduce their exposure to individual asset risk by holding a diversified portfolio of assets.
Diversification will allow for the same portfolio return with reduced risk.
If all the assets of a portfolio have a correlation of 1, i.e., perfect correlation, the portfolio volatility (standard deviation) will be equal to the weighted sum of the individual asset volatilities. Hence the portfolio variance will be equal to the square of the total weighted sum of the individual asset volatilities.
If all the assets have a correlation of 0, i.e., perfectly uncorrelated, the portfolio variance is the sum of the individual asset weights squared times the individual asset variance (and volatility is the square root of this sum).
If correlation is less than zero, i.e., the assets are inversely correlated, the portfolio variance and hence volatility will be less than if the correlation is 0.
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About correlation table
Correlation table is a two-dimensional matrix that shows correlation coefficient between pairs of securities.
The cells in the table are color-coded to highlight significantly positive and negative relationships.
About correlation cloud
Correlation cloud is a flat representation of correlation coefficients between pairs of securities.
The links in the cloud are color-coded to highlight significantly positive and negative relationships.
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