Correlation Between Kuehne + and Forward Air
Can any of the company-specific risk be diversified away by investing in both Kuehne + and Forward Air 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 Forward Air 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 Forward Air, you can compare the effects of market volatilities on Kuehne + and Forward Air 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 Forward Air. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kuehne + and Forward Air.
Diversification Opportunities for Kuehne + and Forward Air
-0.42 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Kuehne and Forward is -0.42. Overlapping area represents the amount of risk that can be diversified away by holding Kuehne Nagel International and Forward Air in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Forward Air 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 Forward Air. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Forward Air has no effect on the direction of Kuehne + i.e., Kuehne + and Forward Air go up and down completely randomly.
Pair Corralation between Kuehne + and Forward Air
Assuming the 90 days horizon Kuehne Nagel International is expected to under-perform the Forward Air. But the pink sheet apears to be less risky and, when comparing its historical volatility, Kuehne Nagel International is 2.69 times less risky than Forward Air. The pink sheet trades about -0.36 of its potential returns per unit of risk. The Forward Air is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 3,224 in Forward Air on September 3, 2024 and sell it today you would earn a total of 445.00 from holding Forward Air or generate 13.8% 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. Forward Air
Performance |
Timeline |
Kuehne Nagel Interna |
Forward Air |
Kuehne + and Forward Air Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kuehne + and Forward Air
The main advantage of trading using opposite Kuehne + and Forward Air positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kuehne + position performs unexpectedly, Forward Air 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 Forward Air will offset losses from the drop in Forward Air's long position.Kuehne + vs. DSV Panalpina AS | Kuehne + vs. CH Robinson Worldwide | Kuehne + vs. Kuehne Nagel International | Kuehne + vs. DSV Panalpina AS |
Forward Air vs. Landstar System | Forward Air vs. JB Hunt Transport | Forward Air vs. Expeditors International of | Forward Air vs. CH Robinson Worldwide |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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