Correlation Between Meta Platforms and ZW Data
Can any of the company-specific risk be diversified away by investing in both Meta Platforms 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 Meta Platforms and ZW Data into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Meta Platforms and ZW Data Action, you can compare the effects of market volatilities on Meta Platforms 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 Meta Platforms with a short position of ZW Data. Check out your portfolio center. Please also check ongoing floating volatility patterns of Meta Platforms and ZW Data.
Diversification Opportunities for Meta Platforms and ZW Data
-0.45 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Meta and CNET is -0.45. Overlapping area represents the amount of risk that can be diversified away by holding Meta Platforms 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 Meta Platforms 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 Meta Platforms 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 Meta Platforms i.e., Meta Platforms and ZW Data go up and down completely randomly.
Pair Corralation between Meta Platforms and ZW Data
Given the investment horizon of 90 days Meta Platforms is expected to generate 0.41 times more return on investment than ZW Data. However, Meta Platforms is 2.41 times less risky than ZW Data. It trades about 0.07 of its potential returns per unit of risk. ZW Data Action is currently generating about -0.16 per unit of risk. If you would invest 62,120 in Meta Platforms on November 7, 2025 and sell it today you would earn a total of 4,901 from holding Meta Platforms or generate 7.89% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Meta Platforms vs. ZW Data Action
Performance |
| Timeline |
| Meta Platforms |
| ZW Data Action |
Meta Platforms and ZW Data Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Meta Platforms and ZW Data
The main advantage of trading using opposite Meta Platforms and ZW Data positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Meta Platforms 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.| Meta Platforms vs. Taiwan Semiconductor Manufacturing | Meta Platforms vs. Broadcom | Meta Platforms vs. Alphabet Inc Class A | Meta Platforms vs. Oracle |
| ZW Data vs. Baosheng Media Group | ZW Data vs. Cheetah Mobile | ZW Data vs. Onfolio Holdings | ZW Data vs. Star Fashion Culture |
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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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