Correlation Between Data Modul and Urban Outfitters
Can any of the company-specific risk be diversified away by investing in both Data Modul and Urban Outfitters 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 Urban Outfitters 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 Urban Outfitters, you can compare the effects of market volatilities on Data Modul and Urban Outfitters 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 Urban Outfitters. Check out your portfolio center. Please also check ongoing floating volatility patterns of Data Modul and Urban Outfitters.
Diversification Opportunities for Data Modul and Urban Outfitters
0.42 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Data and Urban is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding Data Modul AG and Urban Outfitters in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Urban Outfitters 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 Urban Outfitters. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Urban Outfitters has no effect on the direction of Data Modul i.e., Data Modul and Urban Outfitters go up and down completely randomly.
Pair Corralation between Data Modul and Urban Outfitters
Assuming the 90 days trading horizon Data Modul AG is expected to under-perform the Urban Outfitters. But the stock apears to be less risky and, when comparing its historical volatility, Data Modul AG is 1.76 times less risky than Urban Outfitters. The stock trades about -0.01 of its potential returns per unit of risk. The Urban Outfitters is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 5,300 in Urban Outfitters on May 2, 2025 and sell it today you would earn a total of 1,134 from holding Urban Outfitters or generate 21.4% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Data Modul AG vs. Urban Outfitters
Performance |
Timeline |
Data Modul AG |
Urban Outfitters |
Data Modul and Urban Outfitters Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Data Modul and Urban Outfitters
The main advantage of trading using opposite Data Modul and Urban Outfitters positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Data Modul position performs unexpectedly, Urban Outfitters 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 Urban Outfitters will offset losses from the drop in Urban Outfitters' long position.Data Modul vs. Datalogic SpA | Data Modul vs. Entravision Communications | Data Modul vs. BACKBONE Technology AG | Data Modul vs. STORAGEVAULT CANADA INC |
Urban Outfitters vs. BJs Wholesale Club | Urban Outfitters vs. GRUPO CARSO A1 | Urban Outfitters vs. Burlington Stores | Urban Outfitters vs. Geely Automobile Holdings |
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.
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