Pair Correlation Between DOW and Intel

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

Pair Volatility

Given the investment horizon of 30 days, DOW is expected to generate 0.38 times more return on investment than Intel. However, DOW is 2.6 times less risky than Intel. It trades about 0.55 of its potential returns per unit of risk. Intel Corporation is currently generating about 0.0 per unit of risk. If you would invest  2,343,033  in DOW on November 18, 2017 and sell it today you would earn a total of  122,141  from holding DOW or generate 5.21% return on investment over 30 days.

Correlation Coefficient

Pair Corralation between DOW and Intel
-0.69

Parameters

Time Period1 Month [change]
DirectionNegative 
StrengthWeak
Accuracy95.0%
ValuesDaily Returns

Diversification

Excellent diversification

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

 Predicted Return Density 
      Returns