Pair Correlation Between NIKKEI 225 and IPC

This module allows you to analyze existing cross correlation between NIKKEI 225 and IPC. You can compare the effects of market volatilities on NIKKEI 225 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 NIKKEI 225 with a short position of IPC. See also your portfolio center. Please also check ongoing floating volatility patterns of NIKKEI 225 and IPC.
 Time Horizon     30 Days    Login   to change
Symbolsvs
 NIKKEI 225  vs   IPC
 Performance (%) 
      Timeline 

Pair Volatility

Assuming 30 trading days horizon, NIKKEI 225 is expected to under-perform the IPC. In addition to that, NIKKEI 225 is 1.82 times more volatile than IPC. It trades about -0.22 of its total potential returns per unit of risk. IPC is currently generating about -0.24 per unit of volatility. If you would invest  5,077,790  in IPC on January 25, 2018 and sell it today you would lose (213,447)  from holding IPC or give up 4.2% of portfolio value over 30 days.

Correlation Coefficient

Pair Corralation between NIKKEI 225 and IPC
0.94

Parameters

Time Period1 Month [change]
DirectionPositive 
StrengthVery Strong
Accuracy95.45%
ValuesDaily Returns

Diversification

Almost no diversification

Overlapping area represents the amount of risk that can be diversified away by holding NIKKEI 225 and IPC in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on IPC and NIKKEI 225 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 NIKKEI 225 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 NIKKEI 225 i.e. NIKKEI 225 and IPC go up and down completely randomly.
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Comparative Volatility

 Predicted Return Density 
      Returns