Correlation Between CarsalesCom and United Internet
Can any of the company-specific risk be diversified away by investing in both CarsalesCom and United Internet 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 CarsalesCom and United Internet into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CarsalesCom and United Internet AG, you can compare the effects of market volatilities on CarsalesCom and United Internet 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 CarsalesCom with a short position of United Internet. Check out your portfolio center. Please also check ongoing floating volatility patterns of CarsalesCom and United Internet.
Diversification Opportunities for CarsalesCom and United Internet
-0.88 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between CarsalesCom and United is -0.88. Overlapping area represents the amount of risk that can be diversified away by holding CarsalesCom and United Internet AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on United Internet AG and CarsalesCom 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 CarsalesCom are associated (or correlated) with United Internet. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of United Internet AG has no effect on the direction of CarsalesCom i.e., CarsalesCom and United Internet go up and down completely randomly.
Pair Corralation between CarsalesCom and United Internet
Assuming the 90 days horizon CarsalesCom is expected to generate 0.65 times more return on investment than United Internet. However, CarsalesCom is 1.54 times less risky than United Internet. It trades about 0.05 of its potential returns per unit of risk. United Internet AG is currently generating about -0.09 per unit of risk. If you would invest 2,180 in CarsalesCom on September 17, 2024 and sell it today you would earn a total of 100.00 from holding CarsalesCom or generate 4.59% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
CarsalesCom vs. United Internet AG
Performance |
Timeline |
CarsalesCom |
United Internet AG |
CarsalesCom and United Internet Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CarsalesCom and United Internet
The main advantage of trading using opposite CarsalesCom and United Internet positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CarsalesCom position performs unexpectedly, United Internet 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 United Internet will offset losses from the drop in United Internet's long position.CarsalesCom vs. Tencent Holdings | CarsalesCom vs. Superior Plus Corp | CarsalesCom vs. SIVERS SEMICONDUCTORS AB | CarsalesCom vs. NorAm Drilling AS |
United Internet vs. Air Transport Services | United Internet vs. SPORT LISBOA E | United Internet vs. PARKEN Sport Entertainment | United Internet vs. Fast Retailing Co |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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