Pair Correlation Between Greece TR and Shanghai

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

Pair Volatility

Assuming 30 trading days horizon, Greece TR is expected to under-perform the Shanghai. In addition to that, Greece TR is 3.33 times more volatile than Shanghai. It trades about -0.08 of its total potential returns per unit of risk. Shanghai is currently generating about 0.12 per unit of volatility. If you would invest  338,825  in Shanghai on October 24, 2017 and sell it today you would earn a total of  4,045  from holding Shanghai or generate 1.19% return on investment over 30 days.

Correlation Coefficient

Pair Corralation between Greece TR and Shanghai


Time Period1 Month [change]
ValuesDaily Returns


Very good diversification

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

Comparative Volatility

 Predicted Return Density