Pair Correlation Between XU100 and ISEQ

This module allows you to analyze existing cross correlation between XU100 and ISEQ. You can compare the effects of market volatilities on XU100 and ISEQ 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 XU100 with a short position of ISEQ. See also your portfolio center. Please also check ongoing floating volatility patterns of XU100 and ISEQ.
Investment Horizon     30 Days    Login   to change
Symbolsvs
 XU100  vs   ISEQ
 Performance (%) 
      Timeline 

Pair Volatility

Assuming 30 trading days horizon, XU100 is expected to under-perform the ISEQ. In addition to that, XU100 is 1.53 times more volatile than ISEQ. It trades about -0.07 of its total potential returns per unit of risk. ISEQ is currently generating about 0.09 per unit of volatility. If you would invest  678,978  in ISEQ on October 20, 2017 and sell it today you would earn a total of  10,649  from holding ISEQ or generate 1.57% return on investment over 30 days.

Correlation Coefficient

Pair Corralation between XU100 and ISEQ
0.64

Parameters

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

Diversification

Poor diversification

Overlapping area represents the amount of risk that can be diversified away by holding XU100 and ISEQ in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on ISEQ and XU100 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 XU100 are associated (or correlated) with ISEQ. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ISEQ has no effect on the direction of XU100 i.e. XU100 and ISEQ go up and down completely randomly.
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Comparative Volatility

 Predicted Return Density 
      Returns