Correlation Between Zscaler and Check Point

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

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

Diversification Opportunities for Zscaler and Check Point

-0.31

Correlation Coefficient

Zscaler  Check Point

Very good diversification

The 3 months correlation between Zscaler and Check is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding Zscaler and Check Point Software in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Check Point Software and Zscaler 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 Zscaler are associated (or correlated) with Check Point. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Check Point Software has no effect on the direction of Zscaler i.e., Zscaler and Check Point go up and down completely randomly.

Pair Corralation between Zscaler and Check Point

Allowing for the 90-day total investment horizon Zscaler is expected to generate 1.04 times more return on investment than Check Point. However, Zscaler is 1.04 times more volatile than Check Point Software. It trades about 0.04 of its potential returns per unit of risk. Check Point Software is currently generating about -0.02 per unit of risk. If you would invest  17,479  in Zscaler on September 21, 2024 and sell it today you would earn a total of  842.00  from holding Zscaler or generate 4.82% return on investment over 90 days.

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

Zscaler  vs.  Check Point Software

Zscaler

Risk-Adjusted Performance

3 of 100

Insignificant

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

Check Point Software

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Check Point Software has generated negative risk-adjusted returns adding no value to investors with long positions. Even with relatively invariable forward-looking signals, Check Point is not utilizing all of its potentials. The latest stock price agitation, may contribute to short-term losses for the retail investors.

Pair Trading with Zscaler and Check Point

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

The idea behind Zscaler and Check Point Software 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 Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.