Pair Correlation Between IPC and Taiwan Wtd

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

Pair Volatility

Given the investment horizon of 30 days, IPC is expected to generate 1.75 times less return on investment than Taiwan Wtd. In addition to that, IPC is 1.34 times more volatile than Taiwan Wtd. It trades about 0.2 of its total potential returns per unit of risk. Taiwan Wtd is currently generating about 0.48 per unit of volatility. If you would invest  1,046,734  in Taiwan Wtd on December 19, 2017 and sell it today you would earn a total of  53,746  from holding Taiwan Wtd or generate 5.13% return on investment over 30 days.

Correlation Coefficient

Pair Corralation between IPC and Taiwan Wtd


Time Period1 Month [change]
ValuesDaily Returns


Poor diversification

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

Comparative Volatility

 Predicted Return Density