Two Equities Correlation Analysis

This model provides you with a quick lookup of cross correlation between two equities. Please specify two instruments to run the correlation.
Horizon     30 Days    Login   to change
Symbolsvs
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Comparative Performance

 Predicted Return Density 
      Returns 

Fair Isaac Corproation  vs.  DOW

 Performance (%) 
      Timeline 

Pair Volatility

Given the investment horizon of 30 days, Fair Isaac Corproation is expected to under-perform the DOW. In addition to that, Fair Isaac is 2.4 times more volatile than DOW. It trades about -0.05 of its total potential returns per unit of risk. DOW is currently generating about 0.0 per unit of volatility. If you would invest  2,715,420  in DOW on September 17, 2019 and sell it today you would lose (7,704)  from holding DOW or give up 0.28% of portfolio value over 30 days.

Pair Corralation between Fair Isaac and DOW

-0.24
Time Period3 Months [change]
DirectionNegative 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Diversification Opportunities for Fair Isaac and DOW

Fair Isaac Corproation diversification synergy

Very good diversification

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

Pair trading matchups for Fair Isaac

See also your portfolio center. Please also try Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.


 
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