Correlation Between ARDAGH METAL and Webster Financial
Can any of the company-specific risk be diversified away by investing in both ARDAGH METAL and Webster Financial 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 Webster Financial 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 Webster Financial, you can compare the effects of market volatilities on ARDAGH METAL and Webster Financial 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 Webster Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of ARDAGH METAL and Webster Financial.
Diversification Opportunities for ARDAGH METAL and Webster Financial
-0.14 | Correlation Coefficient |
Good diversification
The 3 months correlation between ARDAGH and Webster is -0.14. Overlapping area represents the amount of risk that can be diversified away by holding ARDAGH METAL PACDL 0001 and Webster Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Webster Financial 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 Webster Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Webster Financial has no effect on the direction of ARDAGH METAL i.e., ARDAGH METAL and Webster Financial go up and down completely randomly.
Pair Corralation between ARDAGH METAL and Webster Financial
Assuming the 90 days horizon ARDAGH METAL PACDL 0001 is expected to under-perform the Webster Financial. In addition to that, ARDAGH METAL is 1.64 times more volatile than Webster Financial. It trades about -0.28 of its total potential returns per unit of risk. Webster Financial is currently generating about -0.21 per unit of volatility. If you would invest 5,650 in Webster Financial on October 10, 2024 and sell it today you would lose (300.00) from holding Webster Financial or give up 5.31% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
ARDAGH METAL PACDL 0001 vs. Webster Financial
Performance |
Timeline |
ARDAGH METAL PACDL |
Webster Financial |
ARDAGH METAL and Webster Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ARDAGH METAL and Webster Financial
The main advantage of trading using opposite ARDAGH METAL and Webster Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ARDAGH METAL position performs unexpectedly, Webster Financial 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 Webster Financial will offset losses from the drop in Webster Financial'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 |
Webster Financial vs. OFFICE DEPOT | Webster Financial vs. TERADATA | Webster Financial vs. Cass Information Systems | Webster Financial vs. DATATEC LTD 2 |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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