Correlation Between Cumulus Media and Yuexiu Transport
Can any of the company-specific risk be diversified away by investing in both Cumulus Media and Yuexiu Transport 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 Cumulus Media and Yuexiu Transport into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cumulus Media Class and Yuexiu Transport Infrastructure, you can compare the effects of market volatilities on Cumulus Media and Yuexiu Transport 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 Cumulus Media with a short position of Yuexiu Transport. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cumulus Media and Yuexiu Transport.
Diversification Opportunities for Cumulus Media and Yuexiu Transport
-0.94 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Cumulus and Yuexiu is -0.94. Overlapping area represents the amount of risk that can be diversified away by holding Cumulus Media Class and Yuexiu Transport Infrastructur in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Yuexiu Transport Inf and Cumulus Media 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 Cumulus Media Class are associated (or correlated) with Yuexiu Transport. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Yuexiu Transport Inf has no effect on the direction of Cumulus Media i.e., Cumulus Media and Yuexiu Transport go up and down completely randomly.
Pair Corralation between Cumulus Media and Yuexiu Transport
Given the investment horizon of 90 days Cumulus Media Class is expected to under-perform the Yuexiu Transport. In addition to that, Cumulus Media is 1.43 times more volatile than Yuexiu Transport Infrastructure. It trades about -0.23 of its total potential returns per unit of risk. Yuexiu Transport Infrastructure is currently generating about 0.13 per unit of volatility. If you would invest 45.00 in Yuexiu Transport Infrastructure on September 20, 2024 and sell it today you would earn a total of 13.00 from holding Yuexiu Transport Infrastructure or generate 28.89% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Cumulus Media Class vs. Yuexiu Transport Infrastructur
Performance |
Timeline |
Cumulus Media Class |
Yuexiu Transport Inf |
Cumulus Media and Yuexiu Transport Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cumulus Media and Yuexiu Transport
The main advantage of trading using opposite Cumulus Media and Yuexiu Transport positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cumulus Media position performs unexpectedly, Yuexiu Transport 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 Yuexiu Transport will offset losses from the drop in Yuexiu Transport's long position.Cumulus Media vs. Marchex | Cumulus Media vs. Direct Digital Holdings | Cumulus Media vs. Cimpress NV | Cumulus Media vs. Emerald Expositions Events |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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