Correlation Between Kuehne + and Freightos Limited
Can any of the company-specific risk be diversified away by investing in both Kuehne + 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 Kuehne + and Freightos Limited into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kuehne Nagel International and Freightos Limited Ordinary, you can compare the effects of market volatilities on Kuehne + 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 Kuehne + with a short position of Freightos Limited. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kuehne + and Freightos Limited.
Diversification Opportunities for Kuehne + and Freightos Limited
-0.57 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Kuehne and Freightos is -0.57. Overlapping area represents the amount of risk that can be diversified away by holding Kuehne Nagel International and Freightos Limited Ordinary in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Freightos Limited and Kuehne + 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 Kuehne Nagel International 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 Kuehne + i.e., Kuehne + and Freightos Limited go up and down completely randomly.
Pair Corralation between Kuehne + and Freightos Limited
Assuming the 90 days horizon Kuehne Nagel International is expected to generate 0.3 times more return on investment than Freightos Limited. However, Kuehne Nagel International is 3.34 times less risky than Freightos Limited. It trades about 0.05 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 22,949 in Kuehne Nagel International on December 30, 2024 and sell it today you would earn a total of 1,176 from holding Kuehne Nagel International or generate 5.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Kuehne Nagel International vs. Freightos Limited Ordinary
Performance |
Timeline |
Kuehne Nagel Interna |
Freightos Limited |
Kuehne + and Freightos Limited Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kuehne + and Freightos Limited
The main advantage of trading using opposite Kuehne + and Freightos Limited positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kuehne + 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.Kuehne + vs. DSV Panalpina AS | Kuehne + vs. CH Robinson Worldwide | Kuehne + vs. Kuehne Nagel International | Kuehne + 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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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