Correlation Between Deutsche Telekom and Woodside Energy
Can any of the company-specific risk be diversified away by investing in both Deutsche Telekom and Woodside Energy 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 Woodside Energy 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 Woodside Energy Group, you can compare the effects of market volatilities on Deutsche Telekom and Woodside Energy 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 Woodside Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Deutsche Telekom and Woodside Energy.
Diversification Opportunities for Deutsche Telekom and Woodside Energy
-0.44 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Deutsche and Woodside is -0.44. Overlapping area represents the amount of risk that can be diversified away by holding Deutsche Telekom AG and Woodside Energy Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Woodside Energy Group 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 Woodside Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Woodside Energy Group has no effect on the direction of Deutsche Telekom i.e., Deutsche Telekom and Woodside Energy go up and down completely randomly.
Pair Corralation between Deutsche Telekom and Woodside Energy
Assuming the 90 days trading horizon Deutsche Telekom AG is expected to generate 0.94 times more return on investment than Woodside Energy. However, Deutsche Telekom AG is 1.06 times less risky than Woodside Energy. It trades about 0.18 of its potential returns per unit of risk. Woodside Energy Group is currently generating about -0.03 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 Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Deutsche Telekom AG vs. Woodside Energy Group
Performance |
Timeline |
Deutsche Telekom |
Woodside Energy Group |
Deutsche Telekom and Woodside Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Deutsche Telekom and Woodside Energy
The main advantage of trading using opposite Deutsche Telekom and Woodside Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Deutsche Telekom position performs unexpectedly, Woodside Energy 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 Woodside Energy will offset losses from the drop in Woodside Energy'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 AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
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