Correlation Between T-MOBILE and Adidas AG
Can any of the company-specific risk be diversified away by investing in both T-MOBILE and Adidas AG 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 T-MOBILE and Adidas AG into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between T MOBILE INCDL 00001 and adidas AG, you can compare the effects of market volatilities on T-MOBILE and Adidas AG 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 T-MOBILE with a short position of Adidas AG. Check out your portfolio center. Please also check ongoing floating volatility patterns of T-MOBILE and Adidas AG.
Diversification Opportunities for T-MOBILE and Adidas AG
Average diversification
The 3 months correlation between T-MOBILE and Adidas is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding T MOBILE INCDL 00001 and adidas AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on adidas AG and T-MOBILE 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 T MOBILE INCDL 00001 are associated (or correlated) with Adidas AG. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of adidas AG has no effect on the direction of T-MOBILE i.e., T-MOBILE and Adidas AG go up and down completely randomly.
Pair Corralation between T-MOBILE and Adidas AG
Assuming the 90 days trading horizon T MOBILE INCDL 00001 is expected to generate 1.43 times more return on investment than Adidas AG. However, T-MOBILE is 1.43 times more volatile than adidas AG. It trades about 0.1 of its potential returns per unit of risk. adidas AG is currently generating about -0.05 per unit of risk. If you would invest 21,172 in T MOBILE INCDL 00001 on December 21, 2024 and sell it today you would earn a total of 2,498 from holding T MOBILE INCDL 00001 or generate 11.8% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
T MOBILE INCDL 00001 vs. adidas AG
Performance |
Timeline |
T MOBILE INCDL |
adidas AG |
T-MOBILE and Adidas AG Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with T-MOBILE and Adidas AG
The main advantage of trading using opposite T-MOBILE and Adidas AG positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if T-MOBILE position performs unexpectedly, Adidas AG 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 Adidas AG will offset losses from the drop in Adidas AG's long position.T-MOBILE vs. UMC Electronics Co | T-MOBILE vs. Marie Brizard Wine | T-MOBILE vs. CHINA TONTINE WINES | T-MOBILE vs. AOI Electronics Co |
Adidas AG vs. Direct Line Insurance | Adidas AG vs. Cardinal Health | Adidas AG vs. ZURICH INSURANCE GROUP | Adidas AG vs. CVW CLEANTECH INC |
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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
Other Complementary Tools
Equity Analysis Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities | |
Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
AI Portfolio Architect Use AI to generate optimal portfolios and find profitable investment opportunities |