Pair Correlation Between IPC and NYSE

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

Pair Volatility

Given the investment horizon of 30 days, IPC is expected to under-perform the NYSE. In addition to that, IPC is 2.87 times more volatile than NYSE. It trades about -0.21 of its total potential returns per unit of risk. NYSE is currently generating about -0.08 per unit of volatility. If you would invest  1,238,442  in NYSE on October 23, 2017 and sell it today you would lose (6,365)  from holding NYSE or give up 0.51% of portfolio value over 30 days.

Correlation Coefficient

Pair Corralation between IPC and NYSE
0.55

Parameters

Time Period1 Month [change]
DirectionPositive 
StrengthWeak
Accuracy90.91%
ValuesDaily Returns

Diversification

Very weak diversification

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

 Predicted Return Density 
      Returns