Correlation Between Korn Ferry and Urban Outfitters
Can any of the company-specific risk be diversified away by investing in both Korn Ferry 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 Korn Ferry and Urban Outfitters into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Korn Ferry and Urban Outfitters, you can compare the effects of market volatilities on Korn Ferry 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 Korn Ferry with a short position of Urban Outfitters. Check out your portfolio center. Please also check ongoing floating volatility patterns of Korn Ferry and Urban Outfitters.
Diversification Opportunities for Korn Ferry and Urban Outfitters
-0.19 | Correlation Coefficient |
Good diversification
The 3 months correlation between Korn and Urban is -0.19. Overlapping area represents the amount of risk that can be diversified away by holding Korn Ferry and Urban Outfitters in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Urban Outfitters and Korn Ferry 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 Korn Ferry 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 Korn Ferry i.e., Korn Ferry and Urban Outfitters go up and down completely randomly.
Pair Corralation between Korn Ferry and Urban Outfitters
Assuming the 90 days horizon Korn Ferry is expected to generate 6.26 times less return on investment than Urban Outfitters. But when comparing it to its historical volatility, Korn Ferry is 1.04 times less risky than Urban Outfitters. It trades about 0.05 of its potential returns per unit of risk. Urban Outfitters is currently generating about 0.31 of returns per unit of risk over similar time horizon. If you would invest 3,320 in Urban Outfitters on October 23, 2024 and sell it today you would earn a total of 1,980 from holding Urban Outfitters or generate 59.64% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Korn Ferry vs. Urban Outfitters
Performance |
Timeline |
Korn Ferry |
Urban Outfitters |
Korn Ferry and Urban Outfitters Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Korn Ferry and Urban Outfitters
The main advantage of trading using opposite Korn Ferry and Urban Outfitters positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Korn Ferry 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.Korn Ferry vs. Stag Industrial | Korn Ferry vs. ARDAGH METAL PACDL 0001 | Korn Ferry vs. Jacquet Metal Service | Korn Ferry vs. Forsys Metals Corp |
Urban Outfitters vs. Industria de Diseno | Urban Outfitters vs. The TJX Companies | Urban Outfitters vs. NEXT plc |
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 Commodity Directory module to find actively traded commodities issued by global exchanges.
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