Pair Correlation Between IBEX 35 and Nasdaq

This module allows you to analyze existing cross correlation between IBEX 35 and Nasdaq. You can compare the effects of market volatilities on IBEX 35 and Nasdaq 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 IBEX 35 with a short position of Nasdaq. See also your portfolio center. Please also check ongoing floating volatility patterns of IBEX 35 and Nasdaq.
 Time Horizon     30 Days    Login   to change
 IBEX 35  vs   Nasdaq
 Performance (%) 

Pair Volatility

Assuming 30 trading days horizon, IBEX 35 is expected to under-perform the Nasdaq. But the index apears to be less risky and, when comparing its historical volatility, IBEX 35 is 1.46 times less risky than Nasdaq. The index trades about -0.3 of its potential returns per unit of risk. The Nasdaq is currently generating about -0.02 of returns per unit of risk over similar time horizon. If you would invest  741,116  in Nasdaq on January 25, 2018 and sell it today you would lose (7,377)  from holding Nasdaq or give up 1.0% of portfolio value over 30 days.

Correlation Coefficient

Pair Corralation between IBEX 35 and Nasdaq


Time Period1 Month [change]
ValuesDaily Returns


Very poor diversification

Overlapping area represents the amount of risk that can be diversified away by holding IBEX 35 and Nasdaq in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on Nasdaq and IBEX 35 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 IBEX 35 are associated (or correlated) with Nasdaq. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nasdaq has no effect on the direction of IBEX 35 i.e. IBEX 35 and Nasdaq go up and down completely randomly.

Comparative Volatility

 Predicted Return Density