Pair Correlation Between Hang Seng and IPC

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

Pair Volatility

Given the investment horizon of 30 days, Hang Seng is expected to generate 0.75 times more return on investment than IPC. However, Hang Seng is 1.33 times less risky than IPC. It trades about 0.26 of its potential returns per unit of risk. IPC is currently generating about -0.21 per unit of risk. If you would invest  2,830,588  in Hang Seng on October 23, 2017 and sell it today you would earn a total of  95,443  from holding Hang Seng or generate 3.37% return on investment over 30 days.

Correlation Coefficient

Pair Corralation between Hang Seng and IPC
-0.77

Parameters

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

Diversification

Pay attention

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

 Predicted Return Density 
      Returns