Correlation Analysis Between DOW and VelocityShares 3x

This module allows you to analyze existing cross correlation between DOW and VelocityShares 3x Lng Crude Oil ETN New. You can compare the effects of market volatilities on DOW and VelocityShares 3x 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 VelocityShares 3x. See also your portfolio center. Please also check ongoing floating volatility patterns of DOW and VelocityShares 3x.
 Time Horizon     30 Days    Login   to change
Symbolsvs

DOW  vs.  VelocityShares 3x Lng Crude Oi

 Performance (%) 
      Timeline 

Pair Volatility

If you would invest  2,506,450  in DOW on July 19, 2018 and sell it today you would earn a total of  60,482  from holding DOW or generate 2.41% return on investment over 30 days.

Pair Corralation between DOW and VelocityShares 3x

0.0
Time Period1 Month [change]
DirectionFlat 
StrengthInsignificant
Accuracy4.55%
ValuesDaily Returns

Diversification

Pay attention

Overlapping area represents the amount of risk that can be diversified away by holding DOW and VelocityShares 3x Lng Crude Oi in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on VelocityShares 3x Lng 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 VelocityShares 3x. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of VelocityShares 3x Lng has no effect on the direction of DOW i.e. DOW and VelocityShares 3x go up and down completely randomly.
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Comparative Volatility

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See also your portfolio center. Please also try Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.