Correlation Between Metro AG and Metro AG
Can any of the company-specific risk be diversified away by investing in both Metro AG and Metro 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 Metro AG and Metro AG into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Metro AG and Metro AG, you can compare the effects of market volatilities on Metro AG and Metro 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 Metro AG with a short position of Metro AG. Check out your portfolio center. Please also check ongoing floating volatility patterns of Metro AG and Metro AG.
Diversification Opportunities for Metro AG and Metro AG
Poor diversification
The 3 months correlation between Metro and Metro is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Metro AG and Metro AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Metro AG and Metro AG 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 Metro AG are associated (or correlated) with Metro AG. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Metro AG has no effect on the direction of Metro AG i.e., Metro AG and Metro AG go up and down completely randomly.
Pair Corralation between Metro AG and Metro AG
Assuming the 90 days trading horizon Metro AG is expected to under-perform the Metro AG. In addition to that, Metro AG is 1.04 times more volatile than Metro AG. It trades about -0.08 of its total potential returns per unit of risk. Metro AG is currently generating about -0.07 per unit of volatility. If you would invest 901.00 in Metro AG on October 23, 2024 and sell it today you would lose (485.00) from holding Metro AG or give up 53.83% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Metro AG vs. Metro AG
Performance |
Timeline |
Metro AG |
Metro AG |
Metro AG and Metro AG Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Metro AG and Metro AG
The main advantage of trading using opposite Metro AG and Metro AG positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Metro AG position performs unexpectedly, Metro 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 Metro AG will offset losses from the drop in Metro AG's long position.Metro AG vs. MAGNUM MINING EXP | Metro AG vs. ADRIATIC METALS LS 013355 | Metro AG vs. Waste Management | Metro AG vs. Ringmetall SE |
Metro AG vs. X FAB Silicon Foundries | Metro AG vs. ALEFARM BREWING DK 05 | Metro AG vs. Sumitomo Mitsui Construction | Metro AG vs. DAIRY FARM INTL |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
Other Complementary Tools
Portfolio File Import Quickly import all of your third-party portfolios from your local drive in csv format | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios | |
Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like |