Pair Correlation Between Stockholm and IPC

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

Pair Volatility

Assuming 30 trading days horizon, Stockholm is expected to generate 1.29 times more return on investment than IPC. However, Stockholm is 1.29 times more volatile than IPC. It trades about -0.07 of its potential returns per unit of risk. IPC is currently generating about -0.24 per unit of risk. If you would invest  58,244  in Stockholm on January 25, 2018 and sell it today you would lose (998.92)  from holding Stockholm or give up 1.72% of portfolio value over 30 days.

Correlation Coefficient

Pair Corralation between Stockholm and IPC
0.87

Parameters

Time Period1 Month [change]
DirectionPositive 
StrengthStrong
Accuracy100.0%
ValuesDaily Returns

Diversification

Very poor diversification

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

 Predicted Return Density 
      Returns