Pair Correlation Between DOW and Gartner

This module allows you to analyze existing cross correlation between DOW and Gartner Inc. You can compare the effects of market volatilities on DOW and Gartner 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 Gartner. See also your portfolio center. Please also check ongoing floating volatility patterns of DOW and Gartner.
Investment Horizon     30 Days    Login   to change
Symbolsvs
 DOW  vs   Gartner Inc
 Performance (%) 
      Timeline 

Pair Volatility

Given the investment horizon of 30 days, DOW is expected to generate 0.4 times more return on investment than Gartner. However, DOW is 2.52 times less risky than Gartner. It trades about 0.5 of its potential returns per unit of risk. Gartner Inc is currently generating about 0.08 per unit of risk. If you would invest  2,233,135  in DOW on September 16, 2017 and sell it today you would earn a total of  54,037  from holding DOW or generate 2.42% return on investment over 30 days.

Correlation Coefficient

Pair Corralation between DOW and Gartner
0.14

Parameters

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

Diversification

Average diversification

Overlapping area represents the amount of risk that can be diversified away by holding DOW and Gartner Inc in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on Gartner Inc 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 Gartner. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gartner Inc has no effect on the direction of DOW i.e. DOW and Gartner go up and down completely randomly.
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Comparative Volatility

 Predicted Return Density 
      Returns