Correlation Between ARDAGH METAL and Western Copper
Can any of the company-specific risk be diversified away by investing in both ARDAGH METAL and Western Copper 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 Western Copper 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 Western Copper and, you can compare the effects of market volatilities on ARDAGH METAL and Western Copper 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 Western Copper. Check out your portfolio center. Please also check ongoing floating volatility patterns of ARDAGH METAL and Western Copper.
Diversification Opportunities for ARDAGH METAL and Western Copper
0.39 | Correlation Coefficient |
Weak diversification
The 3 months correlation between ARDAGH and Western is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding ARDAGH METAL PACDL 0001 and Western Copper and in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Western Copper 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 Western Copper. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Western Copper has no effect on the direction of ARDAGH METAL i.e., ARDAGH METAL and Western Copper go up and down completely randomly.
Pair Corralation between ARDAGH METAL and Western Copper
Assuming the 90 days horizon ARDAGH METAL PACDL 0001 is expected to generate 1.26 times more return on investment than Western Copper. However, ARDAGH METAL is 1.26 times more volatile than Western Copper and. It trades about 0.01 of its potential returns per unit of risk. Western Copper and is currently generating about -0.02 per unit of risk. If you would invest 374.00 in ARDAGH METAL PACDL 0001 on October 11, 2024 and sell it today you would lose (82.00) from holding ARDAGH METAL PACDL 0001 or give up 21.93% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
ARDAGH METAL PACDL 0001 vs. Western Copper and
Performance |
Timeline |
ARDAGH METAL PACDL |
Western Copper |
ARDAGH METAL and Western Copper Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ARDAGH METAL and Western Copper
The main advantage of trading using opposite ARDAGH METAL and Western Copper positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ARDAGH METAL position performs unexpectedly, Western Copper 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 Western Copper will offset losses from the drop in Western Copper'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 |
Western Copper vs. MAGNUM MINING EXP | Western Copper vs. Forsys Metals Corp | Western Copper vs. Mitsui Chemicals | Western Copper vs. GREENX METALS LTD |
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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