Correlation Analysis Between NYSE and DOW

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

NYSE  vs.  DOW

 Performance (%) 

Pair Volatility

Given the investment horizon of 30 days, NYSE is expected to generate 1.57 times less return on investment than DOW. But when comparing it to its historical volatility, NYSE is 1.13 times less risky than DOW. It trades about 0.17 of its potential returns per unit of risk. DOW is currently generating about 0.23 of returns per unit of risk over similar time horizon. If you would invest  2,504,429  in DOW on July 22, 2018 and sell it today you would earn a total of  71,440  from holding DOW or generate 2.85% return on investment over 30 days.

Pair Corralation between NYSE and DOW

Time Period1 Month [change]
StrengthVery Weak
ValuesDaily Returns


Weak diversification

Overlapping area represents the amount of risk that can be diversified away by holding NYSE and DOW in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on DOW and NYSE 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 NYSE 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 NYSE i.e. NYSE and DOW go up and down completely randomly.

Comparative Volatility

 Predicted Return Density 

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