Correlation Between Saga Communications and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Saga Communications and Dow Jones 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 Saga Communications and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Saga Communications and Dow Jones Industrial, you can compare the effects of market volatilities on Saga Communications and Dow Jones 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 Saga Communications with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Saga Communications and Dow Jones.
Diversification Opportunities for Saga Communications and Dow Jones
-0.64 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Saga and Dow is -0.64. Overlapping area represents the amount of risk that can be diversified away by holding Saga Communications and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and Saga Communications 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 Saga Communications are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Saga Communications i.e., Saga Communications and Dow Jones go up and down completely randomly.
Pair Corralation between Saga Communications and Dow Jones
Considering the 90-day investment horizon Saga Communications is expected to under-perform the Dow Jones. In addition to that, Saga Communications is 2.37 times more volatile than Dow Jones Industrial. It trades about -0.22 of its total potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.15 per unit of volatility. If you would invest 4,251,495 in Dow Jones Industrial on August 24, 2024 and sell it today you would earn a total of 135,540 from holding Dow Jones Industrial or generate 3.19% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Saga Communications vs. Dow Jones Industrial
Performance |
Timeline |
Saga Communications and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Saga Communications
Pair trading matchups for Saga Communications
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Saga Communications and Dow Jones
The main advantage of trading using opposite Saga Communications and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Saga Communications position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.Saga Communications vs. iHeartMedia Class A | Saga Communications vs. Beasley Broadcast Group | Saga Communications vs. Cumulus Media Class | Saga Communications vs. Mediaco Holding |
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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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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