Correlation Analysis Between OSE All and DOW

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

OSE All  vs.  DOW

 Performance (%) 
      Timeline 

Pair Volatility

Assuming 30 trading days horizon, OSE All is expected to under-perform the DOW. In addition to that, OSE All is 1.7 times more volatile than DOW. It trades about -0.03 of its total potential returns per unit of risk. DOW is currently generating about 0.1 per unit of volatility. If you would invest  2,465,780  in DOW on June 20, 2018 and sell it today you would earn a total of  40,670  from holding DOW or generate 1.65% return on investment over 30 days.

Pair Corralation between OSE All and DOW

0.89
Time Period1 Month [change]
DirectionPositive 
StrengthStrong
Accuracy96.67%
ValuesDaily Returns

Diversification

Very poor diversification

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

 Predicted Return Density 
      Returns 

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