Correlation Between Cairo Communication and CHINA VANKE
Can any of the company-specific risk be diversified away by investing in both Cairo Communication and CHINA VANKE 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 Cairo Communication and CHINA VANKE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cairo Communication SpA and CHINA VANKE TD, you can compare the effects of market volatilities on Cairo Communication and CHINA VANKE 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 Cairo Communication with a short position of CHINA VANKE. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cairo Communication and CHINA VANKE.
Diversification Opportunities for Cairo Communication and CHINA VANKE
0.62 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Cairo and CHINA is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding Cairo Communication SpA and CHINA VANKE TD in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CHINA VANKE TD and Cairo Communication 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 Cairo Communication SpA are associated (or correlated) with CHINA VANKE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CHINA VANKE TD has no effect on the direction of Cairo Communication i.e., Cairo Communication and CHINA VANKE go up and down completely randomly.
Pair Corralation between Cairo Communication and CHINA VANKE
Assuming the 90 days trading horizon Cairo Communication SpA is expected to generate 0.36 times more return on investment than CHINA VANKE. However, Cairo Communication SpA is 2.76 times less risky than CHINA VANKE. It trades about 0.17 of its potential returns per unit of risk. CHINA VANKE TD is currently generating about 0.06 per unit of risk. If you would invest 237.00 in Cairo Communication SpA on December 21, 2024 and sell it today you would earn a total of 45.00 from holding Cairo Communication SpA or generate 18.99% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Cairo Communication SpA vs. CHINA VANKE TD
Performance |
Timeline |
Cairo Communication SpA |
CHINA VANKE TD |
Cairo Communication and CHINA VANKE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cairo Communication and CHINA VANKE
The main advantage of trading using opposite Cairo Communication and CHINA VANKE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cairo Communication position performs unexpectedly, CHINA VANKE 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 CHINA VANKE will offset losses from the drop in CHINA VANKE's long position.Cairo Communication vs. Keck Seng Investments | Cairo Communication vs. PRECISION DRILLING P | Cairo Communication vs. BE Semiconductor Industries | Cairo Communication vs. Tamburi Investment Partners |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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