Correlation Between ZW Data and AMTD IDEA

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

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

Diversification Opportunities for ZW Data and AMTD IDEA

0.32

Correlation Coefficient

ZW Data  AMTD IDEA

Weak diversification

The 3 months correlation between CNET and AMTD is 0.32. Overlapping area represents the amount of risk that can be diversified away by holding ZW Data Action and AMTD IDEA Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AMTD IDEA Group and ZW Data 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 ZW Data Action are associated (or correlated) with AMTD IDEA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AMTD IDEA Group has no effect on the direction of ZW Data i.e., ZW Data and AMTD IDEA go up and down completely randomly.

Pair Corralation between ZW Data and AMTD IDEA

Given the investment horizon of 90 days ZW Data Action is expected to under-perform the AMTD IDEA. In addition to that, ZW Data is 2.26 times more volatile than AMTD IDEA Group. It trades about 0.0 of its total potential returns per unit of risk. AMTD IDEA Group is currently generating about 0.04 per unit of volatility. If you would invest  101.00  in AMTD IDEA Group on May 19, 2025 and sell it today you would earn a total of  6.00  from holding AMTD IDEA Group or generate 5.94% return on investment over 90 days.

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

ZW Data Action  vs.  AMTD IDEA Group

ZW Data Action

Risk-Adjusted Performance

Weakest

Over the last 90 days ZW Data Action has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of comparatively stable technical and fundamental indicators, ZW Data is not utilizing all of its potentials. The newest stock price uproar, may contribute to short-horizon losses for the private investors.

AMTD IDEA Group

Risk-Adjusted Performance

Soft

Compared to the overall equity markets, risk-adjusted returns on investments in AMTD IDEA Group are ranked lower than 3 (%) of all global equities and portfolios over the last 90 days. In spite of rather inconsistent basic indicators, AMTD IDEA may actually be approaching a critical reversion point that can send shares even higher in September 2025.

Pair Trading with ZW Data and AMTD IDEA

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

The idea behind ZW Data Action and AMTD IDEA Group 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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.