Correlation Between Gannett and Universal Media
Can any of the company-specific risk be diversified away by investing in both Gannett and Universal 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 Gannett and Universal Media into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gannett Co and Universal Media Group, you can compare the effects of market volatilities on Gannett and Universal 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 Gannett with a short position of Universal Media. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gannett and Universal Media.
Diversification Opportunities for Gannett and Universal Media
-0.16 | Correlation Coefficient |
Good diversification
The 3 months correlation between Gannett and Universal is -0.16. Overlapping area represents the amount of risk that can be diversified away by holding Gannett Co and Universal Media Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Universal Media Group and Gannett 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 Gannett Co are associated (or correlated) with Universal Media. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Universal Media Group has no effect on the direction of Gannett i.e., Gannett and Universal Media go up and down completely randomly.
Pair Corralation between Gannett and Universal Media
Considering the 90-day investment horizon Gannett Co is expected to under-perform the Universal Media. But the stock apears to be less risky and, when comparing its historical volatility, Gannett Co is 4.43 times less risky than Universal Media. The stock trades about -0.04 of its potential returns per unit of risk. The Universal Media Group is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 4.00 in Universal Media Group on August 24, 2024 and sell it today you would lose (1.00) from holding Universal Media Group or give up 25.0% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Gannett Co vs. Universal Media Group
Performance |
| Timeline |
| Gannett |
| Universal Media Group |
Gannett and Universal Media Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Gannett and Universal Media
The main advantage of trading using opposite Gannett and Universal Media positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gannett position performs unexpectedly, Universal 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 Universal Media will offset losses from the drop in Universal Media's long position.| Gannett vs. John Wiley Sons | Gannett vs. New York Times | Gannett vs. Lee Enterprises Incorporated | Gannett vs. Scholastic |
| Universal Media vs. Organic Sales and | Universal Media vs. Global E Online | Universal Media vs. Playtika Holding Corp | Universal Media vs. Boyd Gaming |
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 AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
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