Correlation Between Freightos Limited and DSV Panalpina
Can any of the company-specific risk be diversified away by investing in both Freightos Limited and DSV Panalpina 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 Freightos Limited and DSV Panalpina into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Freightos Limited Ordinary and DSV Panalpina AS, you can compare the effects of market volatilities on Freightos Limited and DSV Panalpina 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 Freightos Limited with a short position of DSV Panalpina. Check out your portfolio center. Please also check ongoing floating volatility patterns of Freightos Limited and DSV Panalpina.
Diversification Opportunities for Freightos Limited and DSV Panalpina
-0.09 | Correlation Coefficient |
Good diversification
The 3 months correlation between Freightos and DSV is -0.09. Overlapping area represents the amount of risk that can be diversified away by holding Freightos Limited Ordinary and DSV Panalpina AS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on DSV Panalpina AS and Freightos Limited 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 Freightos Limited Ordinary are associated (or correlated) with DSV Panalpina. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of DSV Panalpina AS has no effect on the direction of Freightos Limited i.e., Freightos Limited and DSV Panalpina go up and down completely randomly.
Pair Corralation between Freightos Limited and DSV Panalpina
Given the investment horizon of 90 days Freightos Limited Ordinary is expected to generate 4.25 times more return on investment than DSV Panalpina. However, Freightos Limited is 4.25 times more volatile than DSV Panalpina AS. It trades about 0.07 of its potential returns per unit of risk. DSV Panalpina AS is currently generating about 0.17 per unit of risk. If you would invest 154.00 in Freightos Limited Ordinary on September 4, 2024 and sell it today you would earn a total of 27.00 from holding Freightos Limited Ordinary or generate 17.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Freightos Limited Ordinary vs. DSV Panalpina AS
Performance |
Timeline |
Freightos Limited |
DSV Panalpina AS |
Freightos Limited and DSV Panalpina Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Freightos Limited and DSV Panalpina
The main advantage of trading using opposite Freightos Limited and DSV Panalpina positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Freightos Limited position performs unexpectedly, DSV Panalpina 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 DSV Panalpina will offset losses from the drop in DSV Panalpina's long position.Freightos Limited vs. JB Hunt Transport | Freightos Limited vs. CH Robinson Worldwide | Freightos Limited vs. Hub Group | Freightos Limited vs. Landstar System |
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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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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