Correlation Analysis Between NASDAQ UK and DAX

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

 Predicted Return Density 


 Performance (%) 

Pair Volatility

Assuming 30 trading days horizon, NASDAQ UK is expected to generate 1.22 times more return on investment than DAX. However, NASDAQ UK is 1.22 times more volatile than DAX. It trades about 0.07 of its potential returns per unit of risk. DAX is currently generating about 0.04 per unit of risk. If you would invest  96,412  in NASDAQ UK on September 19, 2019 and sell it today you would earn a total of  4,162  from holding NASDAQ UK or generate 4.32% return on investment over 30 days.

Pair Corralation between NASDAQ UK and DAX

Time Period3 Months [change]
ValuesDaily Returns

Diversification Opportunities for NASDAQ UK and DAX

NASDAQ UK diversification synergy

Very good diversification

Overlapping area represents the amount of risk that can be diversified away by holding NASDAQ UK and DAX in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on DAX and NASDAQ UK 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 NASDAQ UK are associated (or correlated) with DAX. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DAX has no effect on the direction of NASDAQ UK i.e. NASDAQ UK and DAX go up and down completely randomly.
See also your portfolio center. Please also try Insider Screener module to find insiders across different sectors to evaluate their impact on performance.