Correlation Between Cumulus Media and ZW Data

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Return interaction between Cumulus Media Class and ZW Data Action indicates how closely their price movements are linked. The relationship is expressed in terms of diversifiable risk within a combined setting. The value is derived from historical price or return data across available periods.
This correlation view highlights where Cumulus Media Class and ZW Data Action move in sync and where they separate across market regimes. Return co-movement patterns are presented across multiple observation windows. Go to your portfolio center

Diversification Opportunities for Cumulus Media and ZW Data

0.46
  Correlation Coefficient
Weak diversification
The 3 months correlation between Cumulus and CNET is 0.46. Overlapping area represents the amount of risk that can be diversified away by holding Cumulus Media Class and ZW Data Action in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ZW Data Action 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 ZW Data. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ZW Data Action has no effect on the direction of Cumulus Media i.e., Cumulus Media and ZW Data go up and down completely randomly.

Pair Corralation between Cumulus Media and ZW Data

Given the investment horizon of 90 days Cumulus Media Class is expected to under-perform the ZW Data. In addition to that, Cumulus Media is 1.94 times more volatile than ZW Data Action. It trades about -0.08 of its total potential returns per unit of risk. ZW Data Action is currently generating about -0.06 per unit of volatility. If you had invested $ 119.00 in ZW Data Action on December 24, 2025 and sold it today you would have lost $ 51.00 from holding ZW Data Action or given up 42.86% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy80.0%
ValuesDaily Returns

Cumulus Media Class  vs.  ZW Data Action

 Performance 
       Timeline  
Cumulus Media Class 
Risk-Adjusted Performance
Weak
 
Weak
 
Strong
Cumulus Media Class has delivered negative risk-adjusted returns across the last 90 days, suggesting that volatility was not compensated by return. Current market capitalization is about 3.3 Million. In spite of weak performance in the last few months, the stock's essential indicators remain comparatively stable, which may send shares a bit higher in April 2026. The newest uproar may also be a sign of mid-term up-swing for the firm's private investors. ...more
ZW Data Action 
Risk-Adjusted Performance
Weak
 
Weak
 
Strong
During the last 90 trading days, ZW Data Action produced negative risk-adjusted performance, which signals weak return efficiency for investors with long positions. Used correctly, this score supports evaluation of raw price movement versus actual return efficiency. In spite of fragile performance in the last few months, the stock's technical and fundamental indicators remain comparatively stable, which may send shares a bit higher in April 2026. The newest uproar may also be a sign of mid-term up-swing for the firm's private investors. ...more

Cumulus Media and ZW Data Volatility Contrast

   Predicted Return Distribution   
       Density  

Pair Trading with Cumulus Media and ZW Data

A paired position in Cumulus Media and ZW Data is useful when investors want a more relative-value expression than a simple directional trade. A pair setup only works when both legs are monitored with the same discipline as a stand-alone position.
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The information on this page should be treated as a complementary input when building or adjusting a diversified portfolio. The stronger workflow is to validate these signals with other models before acting. You can also try the Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.

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