Pair Correlation Between FTSE MIB and SP 500

This module allows you to analyze existing cross correlation between FTSE MIB and S&P 500. You can compare the effects of market volatilities on FTSE MIB and SP 500 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 FTSE MIB with a short position of SP 500. See also your portfolio center. Please also check ongoing floating volatility patterns of FTSE MIB and SP 500.
Investment Horizon     30 Days    Login   to change
 FTSE MIB  vs   S&P 500
 Performance (%) 

Pair Volatility

Assuming 30 trading days horizon, FTSE MIB is expected to under-perform the SP 500. In addition to that, FTSE MIB is 1.99 times more volatile than S&P 500. It trades about -0.1 of its total potential returns per unit of risk. S&P 500 is currently generating about 0.09 per unit of volatility. If you would invest  256,498  in S&P 500 on October 23, 2017 and sell it today you would earn a total of  1,716  from holding S&P 500 or generate 0.67% return on investment over 30 days.

Correlation Coefficient

Pair Corralation between FTSE MIB and SP 500


Time Period1 Month [change]
ValuesDaily Returns


Very weak diversification

Overlapping area represents the amount of risk that can be diversified away by holding FTSE MIB and S&P 500 in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on SP 500 and FTSE MIB 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 FTSE MIB are associated (or correlated) with SP 500. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SP 500 has no effect on the direction of FTSE MIB i.e. FTSE MIB and SP 500 go up and down completely randomly.

Comparative Volatility

 Predicted Return Density