Correlation Between Cumulus Media and Liberty Media
Can any of the company-specific risk be diversified away by investing in both Cumulus Media and Liberty Media 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 Cumulus Media and Liberty Media into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cumulus Media Class and Liberty Media, you can compare the effects of market volatilities on Cumulus Media and Liberty Media 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 Cumulus Media with a short position of Liberty Media. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cumulus Media and Liberty Media.
Diversification Opportunities for Cumulus Media and Liberty Media
-0.55 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Cumulus and Liberty is -0.55. Overlapping area represents the amount of risk that can be diversified away by holding Cumulus Media Class and Liberty Media in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Liberty Media and Cumulus Media 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 Cumulus Media Class are associated (or correlated) with Liberty Media. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Liberty Media has no effect on the direction of Cumulus Media i.e., Cumulus Media and Liberty Media go up and down completely randomly.
Pair Corralation between Cumulus Media and Liberty Media
Given the investment horizon of 90 days Cumulus Media Class is expected to under-perform the Liberty Media. In addition to that, Cumulus Media is 2.48 times more volatile than Liberty Media. It trades about -0.21 of its total potential returns per unit of risk. Liberty Media is currently generating about -0.45 per unit of volatility. If you would invest 2,390 in Liberty Media on September 2, 2024 and sell it today you would lose (139.00) from holding Liberty Media or give up 5.82% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 10.94% |
Values | Daily Returns |
Cumulus Media Class vs. Liberty Media
Performance |
Timeline |
Cumulus Media Class |
Liberty Media |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Cumulus Media and Liberty Media Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cumulus Media and Liberty Media
The main advantage of trading using opposite Cumulus Media and Liberty Media positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cumulus Media position performs unexpectedly, Liberty Media 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 Liberty Media will offset losses from the drop in Liberty Media's long position.Cumulus Media vs. E W Scripps | Cumulus Media vs. Gray Television | Cumulus Media vs. ProSiebenSat1 Media AG | Cumulus Media vs. RTL Group SA |
Liberty Media vs. E W Scripps | Liberty Media vs. Gray Television | Liberty Media vs. Saga Communications | Liberty Media vs. Cumulus Media Class |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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