Correlation Analysis Between MerVal and NZSE

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

MerVal  vs.  NZSE

 Performance (%) 

Pair Volatility

Assuming 30 trading days horizon, MerVal is expected to under-perform the NZSE. In addition to that, MerVal is 3.21 times more volatile than NZSE. It trades about -0.24 of its total potential returns per unit of risk. NZSE is currently generating about -0.24 per unit of volatility. If you would invest  932,673  in NZSE on September 22, 2018 and sell it today you would lose (45,493)  from holding NZSE or give up 4.88% of portfolio value over 30 days.

Pair Corralation between MerVal and NZSE

Time Period1 Month [change]
ValuesDaily Returns


Very poor diversification

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

Comparative Volatility

 Predicted Return Density 

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See also your portfolio center. Please also try Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.