Correlation Between Alliance Data and European Metals
Can any of the company-specific risk be diversified away by investing in both Alliance Data and European Metals 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 Alliance Data and European Metals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Alliance Data Systems and European Metals Holdings, you can compare the effects of market volatilities on Alliance Data and European Metals 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 Alliance Data with a short position of European Metals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alliance Data and European Metals.
Diversification Opportunities for Alliance Data and European Metals
0.18 | Correlation Coefficient |
Average diversification
The 3 months correlation between Alliance and European is 0.18. Overlapping area represents the amount of risk that can be diversified away by holding Alliance Data Systems and European Metals Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on European Metals Holdings and Alliance Data 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 Alliance Data Systems are associated (or correlated) with European Metals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of European Metals Holdings has no effect on the direction of Alliance Data i.e., Alliance Data and European Metals go up and down completely randomly.
Pair Corralation between Alliance Data and European Metals
Assuming the 90 days trading horizon Alliance Data Systems is expected to generate 1.04 times more return on investment than European Metals. However, Alliance Data is 1.04 times more volatile than European Metals Holdings. It trades about -0.16 of its potential returns per unit of risk. European Metals Holdings is currently generating about -0.44 per unit of risk. If you would invest 6,012 in Alliance Data Systems on December 4, 2024 and sell it today you would lose (507.00) from holding Alliance Data Systems or give up 8.43% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 95.24% |
Values | Daily Returns |
Alliance Data Systems vs. European Metals Holdings
Performance |
Timeline |
Alliance Data Systems |
European Metals Holdings |
Alliance Data and European Metals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Alliance Data and European Metals
The main advantage of trading using opposite Alliance Data and European Metals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alliance Data position performs unexpectedly, European Metals 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 European Metals will offset losses from the drop in European Metals' long position.Alliance Data vs. Raytheon Technologies Corp | Alliance Data vs. Arcticzymes Technologies ASA | Alliance Data vs. Leroy Seafood Group | Alliance Data vs. Learning Technologies Group |
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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 Stocks Directory module to find actively traded stocks across global markets.
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