Pair Correlation Between Commercial Bancshares and Citigroup

This module allows you to analyze existing cross correlation between Commercial Bancshares Inc and Citigroup Inc. You can compare the effects of market volatilities on Commercial Bancshares and Citigroup 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 Commercial Bancshares with a short position of Citigroup. See also your portfolio center. Please also check ongoing floating volatility patterns of Commercial Bancshares and Citigroup.
Investment Horizon     30 Days    Login   to change
Symbolsvs
 Commercial Bancshares Inc  vs   Citigroup Inc
 Performance (%) 
      Timeline 

Pair Volatility

If you would invest  7,177  in Citigroup Inc on September 17, 2017 and sell it today you would earn a total of  34  from holding Citigroup Inc or generate 0.47% return on investment over 30 days.

Correlation Coefficient

Pair Corralation between Commercial Bancshares and Citigroup
0.0

Parameters

Time Period1 Month [change]
DirectionFlat 
StrengthInsignificant
Accuracy0.19%
ValuesDaily Returns

Diversification

Pay attention

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

Comparative Volatility

 Predicted Return Density 
      Returns