Correlation Analysis Between IPC and SP 500

This module allows you to analyze existing cross correlation between IPC and S&P 500. You can compare the effects of market volatilities on IPC and SP 500 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 IPC with a short position of SP 500. See also your portfolio center. Please also check ongoing floating volatility patterns of IPC and SP 500.
 Time Horizon     30 Days    Login   to change
Symbolsvs

IPC  vs.  S&P 500

 Performance (%) 
      Timeline 

Pair Volatility

Given the investment horizon of 30 days, IPC is expected to generate 1.14 times more return on investment than SP 500. However, IPC is 1.14 times more volatile than S&P 500. It trades about 0.2 of its potential returns per unit of risk. S&P 500 is currently generating about 0.19 per unit of risk. If you would invest  4,554,564  in IPC on May 19, 2018 and sell it today you would earn a total of  139,318  from holding IPC or generate 3.06% return on investment over 30 days.

Pair Corralation between IPC and SP 500

0.0
Time Period1 Month [change]
DirectionFlat 
StrengthInsignificant
Accuracy93.55%
ValuesDaily Returns

Diversification

Pay attention

Overlapping area represents the amount of risk that can be diversified away by holding IPC and S&P 500 in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on SP 500 and IPC 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 IPC are associated (or correlated) with SP 500. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SP 500 has no effect on the direction of IPC i.e. IPC and SP 500 go up and down completely randomly.
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Comparative Volatility

 Predicted Return Density 
      Returns 

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