Correlation Between ARDAGH METAL and Citic Telecom
Can any of the company-specific risk be diversified away by investing in both ARDAGH METAL and Citic Telecom 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 ARDAGH METAL and Citic Telecom into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ARDAGH METAL PACDL 0001 and Citic Telecom International, you can compare the effects of market volatilities on ARDAGH METAL and Citic Telecom 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 ARDAGH METAL with a short position of Citic Telecom. Check out your portfolio center. Please also check ongoing floating volatility patterns of ARDAGH METAL and Citic Telecom.
Diversification Opportunities for ARDAGH METAL and Citic Telecom
-0.48 | Correlation Coefficient |
Very good diversification
The 3 months correlation between ARDAGH and Citic is -0.48. Overlapping area represents the amount of risk that can be diversified away by holding ARDAGH METAL PACDL 0001 and Citic Telecom International in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Citic Telecom Intern and ARDAGH METAL 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 ARDAGH METAL PACDL 0001 are associated (or correlated) with Citic Telecom. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Citic Telecom Intern has no effect on the direction of ARDAGH METAL i.e., ARDAGH METAL and Citic Telecom go up and down completely randomly.
Pair Corralation between ARDAGH METAL and Citic Telecom
Assuming the 90 days horizon ARDAGH METAL PACDL 0001 is expected to under-perform the Citic Telecom. In addition to that, ARDAGH METAL is 2.31 times more volatile than Citic Telecom International. It trades about -0.12 of its total potential returns per unit of risk. Citic Telecom International is currently generating about -0.13 per unit of volatility. If you would invest 27.00 in Citic Telecom International on October 10, 2024 and sell it today you would lose (1.00) from holding Citic Telecom International or give up 3.7% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
ARDAGH METAL PACDL 0001 vs. Citic Telecom International
Performance |
Timeline |
ARDAGH METAL PACDL |
Citic Telecom Intern |
ARDAGH METAL and Citic Telecom Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ARDAGH METAL and Citic Telecom
The main advantage of trading using opposite ARDAGH METAL and Citic Telecom positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ARDAGH METAL position performs unexpectedly, Citic Telecom 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 Citic Telecom will offset losses from the drop in Citic Telecom's long position.ARDAGH METAL vs. THORNEY TECHS LTD | ARDAGH METAL vs. SOFI TECHNOLOGIES | ARDAGH METAL vs. DELTA AIR LINES | ARDAGH METAL vs. Playtech plc |
Citic Telecom vs. Apple Inc | Citic Telecom vs. Apple Inc | Citic Telecom vs. Apple Inc | Citic Telecom vs. Apple Inc |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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