Correlation Between URBAN OUTFITTERS and Carsales
Can any of the company-specific risk be diversified away by investing in both URBAN OUTFITTERS and Carsales 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 Carsales into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between URBAN OUTFITTERS and CarsalesCom, you can compare the effects of market volatilities on URBAN OUTFITTERS and Carsales 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 Carsales. Check out your portfolio center. Please also check ongoing floating volatility patterns of URBAN OUTFITTERS and Carsales.
Diversification Opportunities for URBAN OUTFITTERS and Carsales
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between URBAN and Carsales is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding URBAN OUTFITTERS and CarsalesCom in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CarsalesCom 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 Carsales. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CarsalesCom has no effect on the direction of URBAN OUTFITTERS i.e., URBAN OUTFITTERS and Carsales go up and down completely randomly.
Pair Corralation between URBAN OUTFITTERS and Carsales
Assuming the 90 days trading horizon URBAN OUTFITTERS is expected to generate 1.59 times more return on investment than Carsales. However, URBAN OUTFITTERS is 1.59 times more volatile than CarsalesCom. It trades about -0.04 of its potential returns per unit of risk. CarsalesCom is currently generating about -0.12 per unit of risk. If you would invest 5,300 in URBAN OUTFITTERS on December 30, 2024 and sell it today you would lose (520.00) from holding URBAN OUTFITTERS or give up 9.81% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
URBAN OUTFITTERS vs. CarsalesCom
Performance |
Timeline |
URBAN OUTFITTERS |
CarsalesCom |
URBAN OUTFITTERS and Carsales Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with URBAN OUTFITTERS and Carsales
The main advantage of trading using opposite URBAN OUTFITTERS and Carsales positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if URBAN OUTFITTERS position performs unexpectedly, Carsales 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 Carsales will offset losses from the drop in Carsales' long position.URBAN OUTFITTERS vs. Cellnex Telecom SA | URBAN OUTFITTERS vs. Virtu Financial | URBAN OUTFITTERS vs. Entravision Communications | URBAN OUTFITTERS vs. Shenandoah Telecommunications |
Carsales vs. Sims Metal Management | Carsales vs. Ares Management Corp | Carsales vs. Marie Brizard Wine | Carsales vs. CEOTRONICS |
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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