Correlation Between Alliance Data and Metals Exploration
Can any of the company-specific risk be diversified away by investing in both Alliance Data and Metals Exploration 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 Metals Exploration 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 Metals Exploration Plc, you can compare the effects of market volatilities on Alliance Data and Metals Exploration 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 Metals Exploration. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alliance Data and Metals Exploration.
Diversification Opportunities for Alliance Data and Metals Exploration
-0.22 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Alliance and Metals is -0.22. Overlapping area represents the amount of risk that can be diversified away by holding Alliance Data Systems and Metals Exploration Plc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Metals Exploration Plc 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 Metals Exploration. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Metals Exploration Plc has no effect on the direction of Alliance Data i.e., Alliance Data and Metals Exploration go up and down completely randomly.
Pair Corralation between Alliance Data and Metals Exploration
Assuming the 90 days trading horizon Alliance Data Systems is expected to under-perform the Metals Exploration. But the stock apears to be less risky and, when comparing its historical volatility, Alliance Data Systems is 2.04 times less risky than Metals Exploration. The stock trades about -0.25 of its potential returns per unit of risk. The Metals Exploration Plc is currently generating about 0.22 of returns per unit of risk over similar time horizon. If you would invest 535.00 in Metals Exploration Plc on October 8, 2024 and sell it today you would earn a total of 55.00 from holding Metals Exploration Plc or generate 10.28% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 94.44% |
Values | Daily Returns |
Alliance Data Systems vs. Metals Exploration Plc
Performance |
Timeline |
Alliance Data Systems |
Metals Exploration Plc |
Alliance Data and Metals Exploration Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Alliance Data and Metals Exploration
The main advantage of trading using opposite Alliance Data and Metals Exploration positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alliance Data position performs unexpectedly, Metals Exploration 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 Metals Exploration will offset losses from the drop in Metals Exploration's long position.Alliance Data vs. Uniper SE | Alliance Data vs. Codex Acquisitions PLC | Alliance Data vs. Ikigai Ventures | Alliance Data vs. Heavitree Brewery |
Metals Exploration vs. Antofagasta PLC | Metals Exploration vs. Atalaya Mining | Metals Exploration vs. Anglo Asian Mining |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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