Correlation Between CHINA EDUCATION and Nib Holdings
Can any of the company-specific risk be diversified away by investing in both CHINA EDUCATION and Nib Holdings at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining CHINA EDUCATION and Nib Holdings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CHINA EDUCATION GROUP and nib holdings limited, you can compare the effects of market volatilities on CHINA EDUCATION and Nib Holdings 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 CHINA EDUCATION with a short position of Nib Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of CHINA EDUCATION and Nib Holdings.
Diversification Opportunities for CHINA EDUCATION and Nib Holdings
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between CHINA and Nib is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding CHINA EDUCATION GROUP and nib holdings limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on nib holdings limited and CHINA EDUCATION 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 CHINA EDUCATION GROUP are associated (or correlated) with Nib Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of nib holdings limited has no effect on the direction of CHINA EDUCATION i.e., CHINA EDUCATION and Nib Holdings go up and down completely randomly.
Pair Corralation between CHINA EDUCATION and Nib Holdings
Assuming the 90 days horizon CHINA EDUCATION GROUP is expected to under-perform the Nib Holdings. But the stock apears to be less risky and, when comparing its historical volatility, CHINA EDUCATION GROUP is 2.37 times less risky than Nib Holdings. The stock trades about -0.39 of its potential returns per unit of risk. The nib holdings limited is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 332.00 in nib holdings limited on October 10, 2024 and sell it today you would lose (4.00) from holding nib holdings limited or give up 1.2% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
CHINA EDUCATION GROUP vs. nib holdings limited
Performance |
Timeline |
CHINA EDUCATION GROUP |
nib holdings limited |
CHINA EDUCATION and Nib Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CHINA EDUCATION and Nib Holdings
The main advantage of trading using opposite CHINA EDUCATION and Nib Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CHINA EDUCATION position performs unexpectedly, Nib Holdings can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Nib Holdings will offset losses from the drop in Nib Holdings' long position.CHINA EDUCATION vs. InPlay Oil Corp | CHINA EDUCATION vs. COLUMBIA SPORTSWEAR | CHINA EDUCATION vs. Charter Communications | CHINA EDUCATION vs. Computershare Limited |
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Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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