Correlation Between Kuehne Nagel and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Kuehne Nagel and Dow Jones 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 Nagel and Dow Jones 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 Dow Jones Industrial, you can compare the effects of market volatilities on Kuehne Nagel and Dow Jones 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 Nagel with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kuehne Nagel and Dow Jones.
Diversification Opportunities for Kuehne Nagel and Dow Jones
-0.57 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Kuehne and Dow is -0.57. Overlapping area represents the amount of risk that can be diversified away by holding Kuehne Nagel International and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and Kuehne Nagel 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 Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Kuehne Nagel i.e., Kuehne Nagel and Dow Jones go up and down completely randomly.
Pair Corralation between Kuehne Nagel and Dow Jones
Assuming the 90 days trading horizon Kuehne Nagel International is expected to under-perform the Dow Jones. In addition to that, Kuehne Nagel is 1.87 times more volatile than Dow Jones Industrial. It trades about -0.12 of its total potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.04 per unit of volatility. If you would invest 4,220,822 in Dow Jones Industrial on September 24, 2024 and sell it today you would earn a total of 69,873 from holding Dow Jones Industrial or generate 1.66% 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. Dow Jones Industrial
Performance |
Timeline |
Kuehne Nagel and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Kuehne Nagel International
Pair trading matchups for Kuehne Nagel
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Kuehne Nagel and Dow Jones
The main advantage of trading using opposite Kuehne Nagel and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kuehne Nagel position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.Kuehne Nagel vs. ZTO EXPRESS | Kuehne Nagel vs. NIKKON HOLDINGS TD | Kuehne Nagel vs. SENKO GROUP HOLDINGS | Kuehne Nagel vs. NTG Nordic Transport |
Dow Jones vs. Teleflex Incorporated | Dow Jones vs. Sonida Senior Living | Dow Jones vs. Avadel Pharmaceuticals PLC | Dow Jones vs. Cardinal Health |
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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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