Correlation Between Gray Television and Sphere 3D
Can any of the company-specific risk be diversified away by investing in both Gray Television and Sphere 3D 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 Sphere 3D into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gray Television and Sphere 3D Corp, you can compare the effects of market volatilities on Gray Television and Sphere 3D 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 Sphere 3D. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gray Television and Sphere 3D.
Diversification Opportunities for Gray Television and Sphere 3D
-0.43 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Gray and Sphere is -0.43. Overlapping area represents the amount of risk that can be diversified away by holding Gray Television and Sphere 3D Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sphere 3D Corp 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 Sphere 3D. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sphere 3D Corp has no effect on the direction of Gray Television i.e., Gray Television and Sphere 3D go up and down completely randomly.
Pair Corralation between Gray Television and Sphere 3D
Considering the 90-day investment horizon Gray Television is expected to under-perform the Sphere 3D. But the stock apears to be less risky and, when comparing its historical volatility, Gray Television is 2.04 times less risky than Sphere 3D. The stock trades about -0.04 of its potential returns per unit of risk. The Sphere 3D Corp is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 189.00 in Sphere 3D Corp on September 26, 2024 and sell it today you would lose (88.00) from holding Sphere 3D Corp or give up 46.56% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Gray Television vs. Sphere 3D Corp
Performance |
Timeline |
Gray Television |
Sphere 3D Corp |
Gray Television and Sphere 3D Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gray Television and Sphere 3D
The main advantage of trading using opposite Gray Television and Sphere 3D positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gray Television position performs unexpectedly, Sphere 3D 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 Sphere 3D will offset losses from the drop in Sphere 3D's long position.Gray Television vs. E W Scripps | Gray Television vs. Saga Communications | Gray Television vs. iHeartMedia Class A | Gray Television vs. Cumulus Media Class |
Sphere 3D vs. Cumulus Media Class | Sphere 3D vs. iHeartMedia Class A | Sphere 3D vs. Gray Television | Sphere 3D vs. E W Scripps |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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