Correlation Analysis Between DOW and F5 Networks

This module allows you to analyze existing cross correlation between DOW and F5 Networks. You can compare the effects of market volatilities on DOW and F5 Networks 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 F5 Networks. See also your portfolio center. Please also check ongoing floating volatility patterns of DOW and F5 Networks.
 Time Horizon     30 Days    Login   to change
Symbolsvs

DOW  vs.  F5 Networks Inc

 Performance (%) 
      Timeline 

Pair Volatility

Given the investment horizon of 30 days, DOW is expected to generate 0.44 times more return on investment than F5 Networks. However, DOW is 2.26 times less risky than F5 Networks. It trades about 0.01 of its potential returns per unit of risk. F5 Networks is currently generating about -0.08 per unit of risk. If you would invest  2,498,747  in DOW on June 16, 2018 and sell it today you would earn a total of  4,747  from holding DOW or generate 0.19% return on investment over 30 days.

Pair Corralation between DOW and F5 Networks

0.0
Time Period1 Month [change]
DirectionFlat 
StrengthInsignificant
Accuracy77.78%
ValuesDaily Returns

Diversification

Pay attention

Overlapping area represents the amount of risk that can be diversified away by holding DOW and F5 Networks Inc in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on F5 Networks 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 F5 Networks. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of F5 Networks has no effect on the direction of DOW i.e. DOW and F5 Networks go up and down completely randomly.
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Comparative Volatility

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