Pair Correlation Between Shanghai and NIKKEI 225

This module allows you to analyze existing cross correlation between Shanghai and NIKKEI 225. You can compare the effects of market volatilities on Shanghai and NIKKEI 225 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 Shanghai with a short position of NIKKEI 225. See also your portfolio center. Please also check ongoing floating volatility patterns of Shanghai and NIKKEI 225.
 Time Horizon     30 Days    Login   to change
 Shanghai  vs   NIKKEI 225
 Performance (%) 

Pair Volatility

Assuming 30 trading days horizon, Shanghai is expected to generate 0.73 times more return on investment than NIKKEI 225. However, Shanghai is 1.38 times less risky than NIKKEI 225. It trades about 0.02 of its potential returns per unit of risk. NIKKEI 225 is currently generating about -0.1 per unit of risk. If you would invest  326,856  in Shanghai on February 18, 2018 and sell it today you would earn a total of  1,069  from holding Shanghai or generate 0.33% return on investment over 30 days.

Correlation Coefficient

Pair Corralation between Shanghai and NIKKEI 225


Time Period1 Month [change]
ValuesDaily Returns


Very weak diversification

Overlapping area represents the amount of risk that can be diversified away by holding Shanghai and NIKKEI 225 in the same portfolio assuming nothing else is changed. The correlation between historical prices or returns on NIKKEI 225 and Shanghai 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 Shanghai are associated (or correlated) with NIKKEI 225. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NIKKEI 225 has no effect on the direction of Shanghai i.e. Shanghai and NIKKEI 225 go up and down completely randomly.

Comparative Volatility

 Predicted Return Density