Correlation Between Deutsche Telekom and CEWE Stiftung
Can any of the company-specific risk be diversified away by investing in both Deutsche Telekom and CEWE Stiftung 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 CEWE Stiftung 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 CEWE Stiftung Co, you can compare the effects of market volatilities on Deutsche Telekom and CEWE Stiftung 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 CEWE Stiftung. Check out your portfolio center. Please also check ongoing floating volatility patterns of Deutsche Telekom and CEWE Stiftung.
Diversification Opportunities for Deutsche Telekom and CEWE Stiftung
-0.76 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Deutsche and CEWE is -0.76. Overlapping area represents the amount of risk that can be diversified away by holding Deutsche Telekom AG and CEWE Stiftung Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CEWE Stiftung 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 CEWE Stiftung. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CEWE Stiftung has no effect on the direction of Deutsche Telekom i.e., Deutsche Telekom and CEWE Stiftung go up and down completely randomly.
Pair Corralation between Deutsche Telekom and CEWE Stiftung
Assuming the 90 days horizon Deutsche Telekom AG is expected to generate 0.62 times more return on investment than CEWE Stiftung. However, Deutsche Telekom AG is 1.61 times less risky than CEWE Stiftung. It trades about 0.17 of its potential returns per unit of risk. CEWE Stiftung Co is currently generating about 0.04 per unit of risk. If you would invest 1,850 in Deutsche Telekom AG on September 12, 2024 and sell it today you would earn a total of 1,127 from holding Deutsche Telekom AG or generate 60.92% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Deutsche Telekom AG vs. CEWE Stiftung Co
Performance |
| Timeline |
| Deutsche Telekom |
| CEWE Stiftung |
Deutsche Telekom and CEWE Stiftung Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Deutsche Telekom and CEWE Stiftung
The main advantage of trading using opposite Deutsche Telekom and CEWE Stiftung positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Deutsche Telekom position performs unexpectedly, CEWE Stiftung 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 CEWE Stiftung will offset losses from the drop in CEWE Stiftung's long position.| Deutsche Telekom vs. SENECA FOODS A | Deutsche Telekom vs. SK TELECOM TDADR | Deutsche Telekom vs. United Natural Foods | Deutsche Telekom vs. INDOFOOD AGRI RES |
| CEWE Stiftung vs. MTI WIRELESS EDGE | CEWE Stiftung vs. Darden Restaurants | CEWE Stiftung vs. INTERSHOP Communications Aktiengesellschaft | CEWE Stiftung vs. BJs Restaurants |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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