Correlation Between Deutsche Post and Freightos Limited
Can any of the company-specific risk be diversified away by investing in both Deutsche Post and Freightos Limited 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 Freightos Limited 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 Freightos Limited Ordinary, you can compare the effects of market volatilities on Deutsche Post and Freightos Limited 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 Freightos Limited. Check out your portfolio center. Please also check ongoing floating volatility patterns of Deutsche Post and Freightos Limited.
Diversification Opportunities for Deutsche Post and Freightos Limited
-0.63 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Deutsche and Freightos is -0.63. Overlapping area represents the amount of risk that can be diversified away by holding Deutsche Post AG and Freightos Limited Ordinary in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Freightos Limited 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 Freightos Limited. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Freightos Limited has no effect on the direction of Deutsche Post i.e., Deutsche Post and Freightos Limited go up and down completely randomly.
Pair Corralation between Deutsche Post and Freightos Limited
Assuming the 90 days horizon Deutsche Post AG is expected to generate 0.41 times more return on investment than Freightos Limited. However, Deutsche Post AG is 2.43 times less risky than Freightos Limited. It trades about 0.15 of its potential returns per unit of risk. Freightos Limited Ordinary is currently generating about -0.03 per unit of risk. If you would invest 3,550 in Deutsche Post AG on December 30, 2024 and sell it today you would earn a total of 821.00 from holding Deutsche Post AG or generate 23.13% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Deutsche Post AG vs. Freightos Limited Ordinary
Performance |
Timeline |
Deutsche Post AG |
Freightos Limited |
Deutsche Post and Freightos Limited Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Deutsche Post and Freightos Limited
The main advantage of trading using opposite Deutsche Post and Freightos Limited positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Deutsche Post position performs unexpectedly, Freightos Limited 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 Freightos Limited will offset losses from the drop in Freightos Limited's long position.Deutsche Post vs. Kuehne Nagel International | Deutsche Post vs. Kuehne Nagel International | Deutsche Post vs. DSV Panalpina AS | Deutsche Post vs. DSV Panalpina AS |
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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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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