Pair Correlation Between IPC and Nasdaq

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

Pair Volatility

Given the investment horizon of 30 days, IPC is expected to generate 1.91 times less return on investment than Nasdaq. In addition to that, IPC is 1.21 times more volatile than Nasdaq. It trades about 0.13 of its total potential returns per unit of risk. Nasdaq is currently generating about 0.3 per unit of volatility. If you would invest  699,476  in Nasdaq on December 18, 2017 and sell it today you would earn a total of  22,893  from holding Nasdaq or generate 3.27% return on investment over 30 days.

Correlation Coefficient

Pair Corralation between IPC and Nasdaq
0.48

Parameters

Time Period1 Month [change]
DirectionPositive 
StrengthWeak
Accuracy95.24%
ValuesDaily Returns

Diversification

Very weak diversification

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

 Predicted Return Density 
      Returns