Correlation Between Data Modul and Mid-America Apartment
Can any of the company-specific risk be diversified away by investing in both Data Modul and Mid-America Apartment 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 Data Modul and Mid-America Apartment into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Data Modul AG and Mid America Apartment Communities, you can compare the effects of market volatilities on Data Modul and Mid-America Apartment 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 Data Modul with a short position of Mid-America Apartment. Check out your portfolio center. Please also check ongoing floating volatility patterns of Data Modul and Mid-America Apartment.
Diversification Opportunities for Data Modul and Mid-America Apartment
-0.56 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Data and Mid-America is -0.56. Overlapping area represents the amount of risk that can be diversified away by holding Data Modul AG and Mid America Apartment Communit in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mid America Apartment and Data Modul 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 Data Modul AG are associated (or correlated) with Mid-America Apartment. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mid America Apartment has no effect on the direction of Data Modul i.e., Data Modul and Mid-America Apartment go up and down completely randomly.
Pair Corralation between Data Modul and Mid-America Apartment
Assuming the 90 days trading horizon Data Modul AG is expected to under-perform the Mid-America Apartment. In addition to that, Data Modul is 1.8 times more volatile than Mid America Apartment Communities. It trades about -0.01 of its total potential returns per unit of risk. Mid America Apartment Communities is currently generating about 0.03 per unit of volatility. If you would invest 14,538 in Mid America Apartment Communities on December 22, 2024 and sell it today you would earn a total of 317.00 from holding Mid America Apartment Communities or generate 2.18% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Data Modul AG vs. Mid America Apartment Communit
Performance |
Timeline |
Data Modul AG |
Mid America Apartment |
Data Modul and Mid-America Apartment Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Data Modul and Mid-America Apartment
The main advantage of trading using opposite Data Modul and Mid-America Apartment positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Data Modul position performs unexpectedly, Mid-America Apartment 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 Mid-America Apartment will offset losses from the drop in Mid-America Apartment's long position.Data Modul vs. PANIN INSURANCE | Data Modul vs. EEDUCATION ALBERT AB | Data Modul vs. MSAD INSURANCE | Data Modul vs. Universal Insurance Holdings |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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