Correlation Between Gray Television and Cumulus Media
Can any of the company-specific risk be diversified away by investing in both Gray Television and Cumulus 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 Gray Television and Cumulus Media into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gray Television and Cumulus Media Class, you can compare the effects of market volatilities on Gray Television and Cumulus 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 Gray Television with a short position of Cumulus Media. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gray Television and Cumulus Media.
Diversification Opportunities for Gray Television and Cumulus Media
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between Gray and Cumulus is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Gray Television and Cumulus Media Class in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cumulus Media Class and Gray Television 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 Gray Television are associated (or correlated) with Cumulus Media. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cumulus Media Class has no effect on the direction of Gray Television i.e., Gray Television and Cumulus Media go up and down completely randomly.
Pair Corralation between Gray Television and Cumulus Media
Assuming the 90 days horizon Gray Television is expected to generate 0.88 times more return on investment than Cumulus Media. However, Gray Television is 1.14 times less risky than Cumulus Media. It trades about 0.01 of its potential returns per unit of risk. Cumulus Media Class is currently generating about 0.01 per unit of risk. If you would invest 681.00 in Gray Television on December 1, 2024 and sell it today you would lose (26.00) from holding Gray Television or give up 3.82% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Gray Television vs. Cumulus Media Class
Performance |
Timeline |
Gray Television |
Cumulus Media Class |
Gray Television and Cumulus Media Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gray Television and Cumulus Media
The main advantage of trading using opposite Gray Television and Cumulus Media positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gray Television position performs unexpectedly, Cumulus 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 Cumulus Media will offset losses from the drop in Cumulus Media's long position.Gray Television vs. Haverty Furniture Companies | Gray Television vs. Liberty Global PLC | Gray Television vs. Gray Television | Gray Television vs. Greif Inc |
Cumulus Media vs. E W Scripps | Cumulus Media vs. Gray Television | Cumulus Media vs. ProSiebenSat1 Media AG | Cumulus Media vs. RTL Group SA |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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