Correlation Between Tegna and Saga Communications
Can any of the company-specific risk be diversified away by investing in both Tegna and Saga Communications 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 Tegna and Saga Communications into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tegna Inc and Saga Communications, you can compare the effects of market volatilities on Tegna and Saga Communications 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 Tegna with a short position of Saga Communications. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tegna and Saga Communications.
Diversification Opportunities for Tegna and Saga Communications
-0.04 | Correlation Coefficient |
Good diversification
The 3 months correlation between Tegna and Saga is -0.04. Overlapping area represents the amount of risk that can be diversified away by holding Tegna Inc and Saga Communications in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Saga Communications and Tegna 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 Tegna Inc are associated (or correlated) with Saga Communications. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Saga Communications has no effect on the direction of Tegna i.e., Tegna and Saga Communications go up and down completely randomly.
Pair Corralation between Tegna and Saga Communications
Given the investment horizon of 90 days Tegna Inc is expected to under-perform the Saga Communications. But the stock apears to be less risky and, when comparing its historical volatility, Tegna Inc is 1.07 times less risky than Saga Communications. The stock trades about -0.04 of its potential returns per unit of risk. The Saga Communications is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 1,104 in Saga Communications on December 2, 2024 and sell it today you would earn a total of 21.00 from holding Saga Communications or generate 1.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Tegna Inc vs. Saga Communications
Performance |
Timeline |
Tegna Inc |
Saga Communications |
Tegna and Saga Communications Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tegna and Saga Communications
The main advantage of trading using opposite Tegna and Saga Communications positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tegna position performs unexpectedly, Saga Communications 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 Saga Communications will offset losses from the drop in Saga Communications' long position.Tegna vs. E W Scripps | Tegna vs. Gray Television | Tegna vs. iHeartMedia Class A | Tegna vs. Cumulus Media Class |
Saga Communications vs. iHeartMedia Class A | Saga Communications vs. Beasley Broadcast Group | Saga Communications vs. Cumulus Media Class | Saga Communications vs. Mediaco Holding |
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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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