Correlation Between Deutsche Telekom and Bollor SE
Can any of the company-specific risk be diversified away by investing in both Deutsche Telekom and Bollor SE 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 Bollor SE 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 Bollor SE, you can compare the effects of market volatilities on Deutsche Telekom and Bollor SE 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 Bollor SE. Check out your portfolio center. Please also check ongoing floating volatility patterns of Deutsche Telekom and Bollor SE.
Diversification Opportunities for Deutsche Telekom and Bollor SE
-0.11 | Correlation Coefficient |
Good diversification
The 3 months correlation between Deutsche and Bollor is -0.11. Overlapping area represents the amount of risk that can be diversified away by holding Deutsche Telekom AG and Bollor SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bollor SE 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 Bollor SE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bollor SE has no effect on the direction of Deutsche Telekom i.e., Deutsche Telekom and Bollor SE go up and down completely randomly.
Pair Corralation between Deutsche Telekom and Bollor SE
Assuming the 90 days trading horizon Deutsche Telekom AG is expected to generate 0.72 times more return on investment than Bollor SE. However, Deutsche Telekom AG is 1.4 times less risky than Bollor SE. It trades about 0.1 of its potential returns per unit of risk. Bollor SE is currently generating about 0.02 per unit of risk. If you would invest 1,927 in Deutsche Telekom AG on October 5, 2024 and sell it today you would earn a total of 990.00 from holding Deutsche Telekom AG or generate 51.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 99.8% |
Values | Daily Returns |
Deutsche Telekom AG vs. Bollor SE
Performance |
Timeline |
Deutsche Telekom |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Good
Bollor SE |
Deutsche Telekom and Bollor SE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Deutsche Telekom and Bollor SE
The main advantage of trading using opposite Deutsche Telekom and Bollor SE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Deutsche Telekom position performs unexpectedly, Bollor SE 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 Bollor SE will offset losses from the drop in Bollor SE's long position.The idea behind Deutsche Telekom AG and Bollor SE pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.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 Latest Portfolios module to quick portfolio dashboard that showcases your latest portfolios.
Other Complementary Tools
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
Stock Tickers Use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites | |
Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
Bond Analysis Evaluate and analyze corporate bonds as a potential investment for your portfolios. |