Pair Correlation Between NZSE and XU100

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

Pair Volatility

Assuming 30 trading days horizon, NZSE is expected to generate 0.29 times more return on investment than XU100. However, NZSE is 3.45 times less risky than XU100. It trades about 0.07 of its potential returns per unit of risk. XU100 is currently generating about -0.08 per unit of risk. If you would invest  808,674  in NZSE on October 26, 2017 and sell it today you would earn a total of  5,074  from holding NZSE or generate 0.63% return on investment over 30 days.

Correlation Coefficient

Pair Corralation between NZSE and XU100
-0.3

Parameters

Time Period1 Month [change]
DirectionNegative 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Diversification

Very good diversification

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

 Predicted Return Density 
      Returns