Pair Correlation Between NYSE and FTSE MIB

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

NYSE  vs.  FTSE MIB

 Performance (%) 
      Timeline 

Pair Volatility

If you would invest  1,276,334  in NYSE on March 20, 2018 and sell it today you would lose (3,044)  from holding NYSE or give up 0.24% of portfolio value over 30 days.

Pair Corralation between NYSE and FTSE MIB

-0.56
Time Period2 Months [change]
DirectionNegative 
StrengthVery Weak
Accuracy2.0%
ValuesDaily Returns

Diversification

Excellent diversification

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

 Predicted Return Density 
      Returns 

My Equities

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GOOG - USA Stock
Alphabet
Specialization
IT, Search Cloud And Integrated IT Services
Business Address1600 Amphitheatre Parkway
ExchangeNASDAQ
$1087.7

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See also your portfolio center. Please also try Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.