Correlation Between Stagwell and ZW Data

Can any of the company-specific risk be diversified away by investing in both Stagwell and ZW Data 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 Stagwell and ZW Data into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Stagwell and ZW Data Action, you can compare the effects of market volatilities on Stagwell and ZW Data 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 Stagwell with a short position of ZW Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Stagwell and ZW Data.

Diversification Opportunities for Stagwell and ZW Data

0.63

Correlation Coefficient

Stagwell  ZW Data

Poor diversification

The 3 months correlation between Stagwell and CNET is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding Stagwell 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 Stagwell 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 Stagwell 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 Stagwell i.e., Stagwell and ZW Data go up and down completely randomly.

Pair Corralation between Stagwell and ZW Data

Given the investment horizon of 90 days Stagwell is expected to under-perform the ZW Data. But the stock apears to be less risky and, when comparing its historical volatility, Stagwell is 2.08 times less risky than ZW Data. The stock trades about -0.03 of its potential returns per unit of risk. The ZW Data Action is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest  160.00  in ZW Data Action on April 22, 2025 and sell it today you would earn a total of  12.00  from holding ZW Data Action or generate 7.5% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Significant
Accuracy	100.0%
Values	Daily Returns

Stagwell  vs.  ZW Data Action

Stagwell

Risk-Adjusted Performance

Very Weak

Over the last 90 days Stagwell has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest uncertain performance, the Stock's technical and fundamental indicators remain stable and the latest fuss on Wall Street may also be a sign of long-term gains for the venture sophisticated investors.

ZW Data Action

Risk-Adjusted Performance

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in ZW Data Action are ranked lower than 3 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively uncertain technical and fundamental indicators, ZW Data unveiled solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Stagwell and ZW Data

The main advantage of trading using opposite Stagwell and ZW Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Stagwell position performs unexpectedly, ZW Data 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 ZW Data will offset losses from the drop in ZW Data's long position.

The idea behind Stagwell and ZW Data Action pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.

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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 Stock Screener module to find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..