Correlation Between Deutsche Post and Metals Exploration
Can any of the company-specific risk be diversified away by investing in both Deutsche Post 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 Deutsche Post and Metals Exploration into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Deutsche Post AG and Metals Exploration Plc, you can compare the effects of market volatilities on Deutsche Post 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 Deutsche Post with a short position of Metals Exploration. Check out your portfolio center. Please also check ongoing floating volatility patterns of Deutsche Post and Metals Exploration.
Diversification Opportunities for Deutsche Post and Metals Exploration
-0.21 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Deutsche and Metals is -0.21. Overlapping area represents the amount of risk that can be diversified away by holding Deutsche Post AG 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 Deutsche Post 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 Deutsche Post AG 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 Deutsche Post i.e., Deutsche Post and Metals Exploration go up and down completely randomly.
Pair Corralation between Deutsche Post and Metals Exploration
Assuming the 90 days trading horizon Deutsche Post AG is expected to generate 0.6 times more return on investment than Metals Exploration. However, Deutsche Post AG is 1.67 times less risky than Metals Exploration. It trades about 0.15 of its potential returns per unit of risk. Metals Exploration Plc is currently generating about 0.03 per unit of risk. If you would invest 3,399 in Deutsche Post AG on December 25, 2024 and sell it today you would earn a total of 729.00 from holding Deutsche Post AG or generate 21.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Deutsche Post AG vs. Metals Exploration Plc
Performance |
Timeline |
Deutsche Post AG |
Metals Exploration Plc |
Deutsche Post and Metals Exploration Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Deutsche Post and Metals Exploration
The main advantage of trading using opposite Deutsche Post and Metals Exploration positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Deutsche Post 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.Deutsche Post vs. Metals Exploration Plc | Deutsche Post vs. Empire Metals Limited | Deutsche Post vs. Premier Foods PLC | Deutsche Post vs. Endeavour Mining Corp |
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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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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