Correlation Between Deutsche Telekom and Phibro Animal
Can any of the company-specific risk be diversified away by investing in both Deutsche Telekom and Phibro Animal 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 Deutsche Telekom and Phibro Animal into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Deutsche Telekom AG and Phibro Animal Health, you can compare the effects of market volatilities on Deutsche Telekom and Phibro Animal 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 Deutsche Telekom with a short position of Phibro Animal. Check out your portfolio center. Please also check ongoing floating volatility patterns of Deutsche Telekom and Phibro Animal.
Diversification Opportunities for Deutsche Telekom and Phibro Animal
0.49 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Deutsche and Phibro is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding Deutsche Telekom AG and Phibro Animal Health in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Phibro Animal Health and Deutsche Telekom 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 Deutsche Telekom AG are associated (or correlated) with Phibro Animal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Phibro Animal Health has no effect on the direction of Deutsche Telekom i.e., Deutsche Telekom and Phibro Animal go up and down completely randomly.
Pair Corralation between Deutsche Telekom and Phibro Animal
Assuming the 90 days trading horizon Deutsche Telekom AG is expected to generate 0.49 times more return on investment than Phibro Animal. However, Deutsche Telekom AG is 2.04 times less risky than Phibro Animal. It trades about 0.18 of its potential returns per unit of risk. Phibro Animal Health is currently generating about 0.0 per unit of risk. If you would invest 2,899 in Deutsche Telekom AG on December 24, 2024 and sell it today you would earn a total of 477.00 from holding Deutsche Telekom AG or generate 16.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Deutsche Telekom AG vs. Phibro Animal Health
Performance |
Timeline |
Deutsche Telekom |
Phibro Animal Health |
Deutsche Telekom and Phibro Animal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Deutsche Telekom and Phibro Animal
The main advantage of trading using opposite Deutsche Telekom and Phibro Animal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Deutsche Telekom position performs unexpectedly, Phibro Animal 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 Phibro Animal will offset losses from the drop in Phibro Animal's long position.Deutsche Telekom vs. CSSC Offshore Marine | Deutsche Telekom vs. AWILCO DRILLING PLC | Deutsche Telekom vs. Platinum Investment Management | Deutsche Telekom vs. CEOTRONICS |
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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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