Correlation Between Urban Outfitters and GPS Old
Can any of the company-specific risk be diversified away by investing in both Urban Outfitters and GPS Old 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 Urban Outfitters and GPS Old into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Urban Outfitters and GPS Old, you can compare the effects of market volatilities on Urban Outfitters and GPS Old 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 Urban Outfitters with a short position of GPS Old. Check out your portfolio center. Please also check ongoing floating volatility patterns of Urban Outfitters and GPS Old.
Diversification Opportunities for Urban Outfitters and GPS Old
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Urban and GPS is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Urban Outfitters and GPS Old in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GPS Old and Urban Outfitters 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 Urban Outfitters are associated (or correlated) with GPS Old. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GPS Old has no effect on the direction of Urban Outfitters i.e., Urban Outfitters and GPS Old go up and down completely randomly.
Pair Corralation between Urban Outfitters and GPS Old
Given the investment horizon of 90 days Urban Outfitters is expected to generate 1.22 times less return on investment than GPS Old. But when comparing it to its historical volatility, Urban Outfitters is 1.4 times less risky than GPS Old. It trades about 0.07 of its potential returns per unit of risk. GPS Old is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 1,193 in GPS Old on October 10, 2024 and sell it today you would earn a total of 1,135 from holding GPS Old or generate 95.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 81.82% |
Values | Daily Returns |
Urban Outfitters vs. GPS Old
Performance |
Timeline |
Urban Outfitters |
GPS Old |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Urban Outfitters and GPS Old Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Urban Outfitters and GPS Old
The main advantage of trading using opposite Urban Outfitters and GPS Old positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Urban Outfitters position performs unexpectedly, GPS Old 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 GPS Old will offset losses from the drop in GPS Old's long position.Urban Outfitters vs. American Eagle Outfitters | Urban Outfitters vs. Foot Locker | Urban Outfitters vs. Childrens Place | Urban Outfitters vs. Abercrombie Fitch |
GPS Old vs. Abercrombie Fitch | GPS Old vs. Urban Outfitters | GPS Old vs. Foot Locker | GPS Old vs. Childrens Place |
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 Portfolio File Import module to quickly import all of your third-party portfolios from your local drive in csv format.
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