Correlation Analysis Between DOW and Russell 2000

This module allows you to analyze existing cross correlation between DOW and Russell 2000 . You can compare the effects of market volatilities on DOW 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 DOW with a short position of Russell 2000. See also your portfolio center. Please also check ongoing floating volatility patterns of DOW and Russell 2000.
 Time Horizon     30 Days    Login   to change
Symbolsvs

DOW  vs.  Russell 2000

 Performance (%) 
      Timeline 

Pair Volatility

Given the investment horizon of 30 days, DOW is not expected to generate positive returns. Moreover, DOW is 1.35 times more volatile than Russell 2000 . It trades away all of its potential returns to assume current level of volatility. Russell 2000 is currently generating about 0.28 per unit of risk. If you would invest  162,663  in Russell 2000 on May 20, 2018 and sell it today you would earn a total of  6,565  from holding Russell 2000 or generate 4.04% return on investment over 30 days.

Pair Corralation between DOW and Russell 2000

0.0
Time Period1 Month [change]
DirectionFlat 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Diversification

Pay attention

Overlapping area represents the amount of risk that can be diversified away by holding DOW and Russell 2000 in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on Russell 2000 and DOW 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 DOW 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 DOW i.e. DOW and Russell 2000 go up and down completely randomly.
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Comparative Volatility

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