Correlation Analysis 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.
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 generate 1.18 times more return on investment than IPC. However, NIKKEI 225 is 1.18 times more volatile than IPC. It trades about 0.31 of its potential returns per unit of risk. IPC is currently generating about -0.01 per unit of risk. If you would invest  2,279,964  in NIKKEI 225 on August 27, 2018 and sell it today you would earn a total of  117,890  from holding NIKKEI 225 or generate 5.17% return on investment over 30 days.

Pair Corralation between NIKKEI 225 and IPC

0.48
Time Period1 Month [change]
DirectionPositive 
StrengthWeak
Accuracy95.65%
ValuesDaily Returns

Diversification

Very weak 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 

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