Correlation Between Gamma Communications and Kuehne Nagel
Can any of the company-specific risk be diversified away by investing in both Gamma Communications and Kuehne Nagel 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 Gamma Communications and Kuehne Nagel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gamma Communications plc and Kuehne Nagel International, you can compare the effects of market volatilities on Gamma Communications and Kuehne Nagel 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 Gamma Communications with a short position of Kuehne Nagel. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gamma Communications and Kuehne Nagel.
Diversification Opportunities for Gamma Communications and Kuehne Nagel
-0.39 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Gamma and Kuehne is -0.39. Overlapping area represents the amount of risk that can be diversified away by holding Gamma Communications plc and Kuehne Nagel International in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kuehne Nagel Interna and Gamma Communications 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 Gamma Communications plc are associated (or correlated) with Kuehne Nagel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kuehne Nagel Interna has no effect on the direction of Gamma Communications i.e., Gamma Communications and Kuehne Nagel go up and down completely randomly.
Pair Corralation between Gamma Communications and Kuehne Nagel
Assuming the 90 days horizon Gamma Communications plc is expected to generate 0.97 times more return on investment than Kuehne Nagel. However, Gamma Communications plc is 1.03 times less risky than Kuehne Nagel. It trades about -0.06 of its potential returns per unit of risk. Kuehne Nagel International is currently generating about -0.14 per unit of risk. If you would invest 1,900 in Gamma Communications plc on August 28, 2024 and sell it today you would lose (40.00) from holding Gamma Communications plc or give up 2.11% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Gamma Communications plc vs. Kuehne Nagel International
Performance |
| Timeline |
| Gamma Communications plc |
| Kuehne Nagel Interna |
Gamma Communications and Kuehne Nagel Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Gamma Communications and Kuehne Nagel
The main advantage of trading using opposite Gamma Communications and Kuehne Nagel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gamma Communications position performs unexpectedly, Kuehne Nagel 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 Kuehne Nagel will offset losses from the drop in Kuehne Nagel's long position.| Gamma Communications vs. T Mobile | Gamma Communications vs. ATT Inc | Gamma Communications vs. Deutsche Telekom AG |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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