Correlation Between Deutsche Telekom and United Internet
Can any of the company-specific risk be diversified away by investing in both Deutsche Telekom and United Internet 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 United Internet 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 United Internet AG, you can compare the effects of market volatilities on Deutsche Telekom and United Internet 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 United Internet. Check out your portfolio center. Please also check ongoing floating volatility patterns of Deutsche Telekom and United Internet.
Diversification Opportunities for Deutsche Telekom and United Internet
-0.63 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Deutsche and United is -0.63. Overlapping area represents the amount of risk that can be diversified away by holding Deutsche Telekom AG and United Internet AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on United Internet AG 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 United Internet. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of United Internet AG has no effect on the direction of Deutsche Telekom i.e., Deutsche Telekom and United Internet go up and down completely randomly.
Pair Corralation between Deutsche Telekom and United Internet
Assuming the 90 days trading horizon Deutsche Telekom AG is expected to generate 0.64 times more return on investment than United Internet. However, Deutsche Telekom AG is 1.57 times less risky than United Internet. It trades about 0.14 of its potential returns per unit of risk. United Internet AG is currently generating about -0.24 per unit of risk. If you would invest 2,780 in Deutsche Telekom AG on September 5, 2024 and sell it today you would earn a total of 180.00 from holding Deutsche Telekom AG or generate 6.47% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 95.65% |
Values | Daily Returns |
Deutsche Telekom AG vs. United Internet AG
Performance |
Timeline |
Deutsche Telekom |
United Internet AG |
Deutsche Telekom and United Internet Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Deutsche Telekom and United Internet
The main advantage of trading using opposite Deutsche Telekom and United Internet positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Deutsche Telekom position performs unexpectedly, United Internet 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 United Internet will offset losses from the drop in United Internet's long position.Deutsche Telekom vs. National Retail Properties | Deutsche Telekom vs. Transport International Holdings | Deutsche Telekom vs. TITANIUM TRANSPORTGROUP | Deutsche Telekom vs. Columbia Sportswear |
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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 Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
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