Correlation Between United Internet and Mobilezone Holding
Can any of the company-specific risk be diversified away by investing in both United Internet and Mobilezone Holding 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 United Internet and Mobilezone Holding into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between United Internet AG and mobilezone holding AG, you can compare the effects of market volatilities on United Internet and Mobilezone Holding 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 United Internet with a short position of Mobilezone Holding. Check out your portfolio center. Please also check ongoing floating volatility patterns of United Internet and Mobilezone Holding.
Diversification Opportunities for United Internet and Mobilezone Holding
-0.37 | Correlation Coefficient |
Very good diversification
The 3 months correlation between United and Mobilezone is -0.37. Overlapping area represents the amount of risk that can be diversified away by holding United Internet AG and mobilezone holding AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on mobilezone holding and United Internet 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 United Internet AG are associated (or correlated) with Mobilezone Holding. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of mobilezone holding has no effect on the direction of United Internet i.e., United Internet and Mobilezone Holding go up and down completely randomly.
Pair Corralation between United Internet and Mobilezone Holding
Assuming the 90 days trading horizon United Internet AG is expected to under-perform the Mobilezone Holding. In addition to that, United Internet is 1.03 times more volatile than mobilezone holding AG. It trades about -0.11 of its total potential returns per unit of risk. mobilezone holding AG is currently generating about -0.06 per unit of volatility. If you would invest 1,334 in mobilezone holding AG on September 15, 2024 and sell it today you would lose (134.00) from holding mobilezone holding AG or give up 10.04% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
United Internet AG vs. mobilezone holding AG
Performance |
Timeline |
United Internet AG |
mobilezone holding |
United Internet and Mobilezone Holding Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with United Internet and Mobilezone Holding
The main advantage of trading using opposite United Internet and Mobilezone Holding positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if United Internet position performs unexpectedly, Mobilezone Holding 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 Mobilezone Holding will offset losses from the drop in Mobilezone Holding's long position.United Internet vs. Samsung Electronics Co | United Internet vs. Samsung Electronics Co | United Internet vs. Hyundai Motor | United Internet vs. Reliance Industries Ltd |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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