Pair Correlation Between SP 500 and Russell 2000

This module allows you to analyze existing cross correlation between S&P 500 and Russell 2000 . You can compare the effects of market volatilities on SP 500 and Russell 2000 and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in SP 500 with a short position of Russell 2000. See also your portfolio center. Please also check ongoing floating volatility patterns of SP 500 and Russell 2000.
 Time Horizon     30 Days    Login   to change
 S&P 500  vs   Russell 2000
 Performance (%) 

Pair Volatility

Assuming 30 trading days horizon, S&P 500 is expected to generate 1.18 times more return on investment than Russell 2000. However, SP 500 is 1.18 times more volatile than Russell 2000 . It trades about -0.09 of its potential returns per unit of risk. Russell 2000 is currently generating about -0.11 per unit of risk. If you would invest  283,925  in S&P 500 on January 25, 2018 and sell it today you would lose (9,195)  from holding S&P 500 or give up 3.24% of portfolio value over 30 days.

Correlation Coefficient

Pair Corralation between SP 500 and Russell 2000


Time Period1 Month [change]
StrengthVery Strong
ValuesDaily Returns


No risk reduction

Overlapping area represents the amount of risk that can be diversified away by holding S&P 500 and Russell 2000 in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on Russell 2000 and SP 500 is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on S&P 500 are associated (or correlated) with Russell 2000. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Russell 2000 has no effect on the direction of SP 500 i.e. SP 500 and Russell 2000 go up and down completely randomly.

Comparative Volatility

 Predicted Return Density