Correlation Between Sinclair Broadcast and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Sinclair Broadcast 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 Sinclair Broadcast and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sinclair Broadcast Group and Dow Jones Industrial, you can compare the effects of market volatilities on Sinclair Broadcast 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 Sinclair Broadcast with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sinclair Broadcast and Dow Jones.
Diversification Opportunities for Sinclair Broadcast and Dow Jones
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Sinclair and Dow is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding Sinclair Broadcast Group 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 Sinclair Broadcast 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 Sinclair Broadcast Group 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 Sinclair Broadcast i.e., Sinclair Broadcast and Dow Jones go up and down completely randomly.
Pair Corralation between Sinclair Broadcast and Dow Jones
Given the investment horizon of 90 days Sinclair Broadcast Group is expected to generate 3.28 times more return on investment than Dow Jones. However, Sinclair Broadcast is 3.28 times more volatile than Dow Jones Industrial. It trades about 0.25 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.16 per unit of risk. If you would invest 1,282 in Sinclair Broadcast Group on September 12, 2024 and sell it today you would earn a total of 548.00 from holding Sinclair Broadcast Group or generate 42.75% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Sinclair Broadcast Group vs. Dow Jones Industrial
Performance |
Timeline |
Sinclair Broadcast and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Sinclair Broadcast Group
Pair trading matchups for Sinclair Broadcast
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Sinclair Broadcast and Dow Jones
The main advantage of trading using opposite Sinclair Broadcast and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sinclair Broadcast 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.Sinclair Broadcast vs. News Corp A | Sinclair Broadcast vs. Liberty Media | Sinclair Broadcast vs. Liberty Media | Sinclair Broadcast vs. AMC Networks |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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