Correlation Between URBAN OUTFITTERS and Wilh Wilhelmsen
Can any of the company-specific risk be diversified away by investing in both URBAN OUTFITTERS and Wilh Wilhelmsen 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 Wilh Wilhelmsen into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between URBAN OUTFITTERS and Wilh Wilhelmsen Holding, you can compare the effects of market volatilities on URBAN OUTFITTERS and Wilh Wilhelmsen 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 Wilh Wilhelmsen. Check out your portfolio center. Please also check ongoing floating volatility patterns of URBAN OUTFITTERS and Wilh Wilhelmsen.
Diversification Opportunities for URBAN OUTFITTERS and Wilh Wilhelmsen
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between URBAN and Wilh is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding URBAN OUTFITTERS and Wilh Wilhelmsen Holding in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wilh Wilhelmsen Holding 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 Wilh Wilhelmsen. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wilh Wilhelmsen Holding has no effect on the direction of URBAN OUTFITTERS i.e., URBAN OUTFITTERS and Wilh Wilhelmsen go up and down completely randomly.
Pair Corralation between URBAN OUTFITTERS and Wilh Wilhelmsen
Assuming the 90 days trading horizon URBAN OUTFITTERS is expected to generate 0.78 times more return on investment than Wilh Wilhelmsen. However, URBAN OUTFITTERS is 1.28 times less risky than Wilh Wilhelmsen. It trades about 0.21 of its potential returns per unit of risk. Wilh Wilhelmsen Holding is currently generating about 0.1 per unit of risk. If you would invest 3,240 in URBAN OUTFITTERS on September 13, 2024 and sell it today you would earn a total of 1,660 from holding URBAN OUTFITTERS or generate 51.23% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
URBAN OUTFITTERS vs. Wilh Wilhelmsen Holding
Performance |
Timeline |
URBAN OUTFITTERS |
Wilh Wilhelmsen Holding |
URBAN OUTFITTERS and Wilh Wilhelmsen Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with URBAN OUTFITTERS and Wilh Wilhelmsen
The main advantage of trading using opposite URBAN OUTFITTERS and Wilh Wilhelmsen positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if URBAN OUTFITTERS position performs unexpectedly, Wilh Wilhelmsen 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 Wilh Wilhelmsen will offset losses from the drop in Wilh Wilhelmsen's long position.URBAN OUTFITTERS vs. Apple Inc | URBAN OUTFITTERS vs. Apple Inc | URBAN OUTFITTERS vs. Apple Inc | URBAN OUTFITTERS vs. Apple Inc |
Wilh Wilhelmsen vs. American Eagle Outfitters | Wilh Wilhelmsen vs. URBAN OUTFITTERS | Wilh Wilhelmsen vs. JJ SNACK FOODS | Wilh Wilhelmsen vs. United Rentals |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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