Correlation Between Snowflake and Check Point

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

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

Diversification Opportunities for Snowflake and Check Point

0.8

Correlation Coefficient

Snowflake  Check Point

Very poor diversification

The 3 months correlation between Snowflake and Check is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Snowflake 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 Snowflake 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 Snowflake 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 Snowflake i.e., Snowflake and Check Point go up and down completely randomly.

Pair Corralation between Snowflake and Check Point

Assuming the 90 days trading horizon Snowflake is expected to generate 3.53 times more return on investment than Check Point. However, Snowflake is 3.53 times more volatile than Check Point Software. It trades about 0.09 of its potential returns per unit of risk. Check Point Software is currently generating about -0.07 per unit of risk. If you would invest  2,514  in Snowflake on October 24, 2024 and sell it today you would earn a total of  82.00  from holding Snowflake or generate 3.26% return on investment over 90 days.

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

Snowflake  vs.  Check Point Software

Snowflake

Risk-Adjusted Performance

14 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Snowflake are ranked lower than 14 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak basic indicators, Snowflake sustained solid returns over the last few months and may actually be approaching a breakup point.

Check Point Software

Risk-Adjusted Performance

15 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Check Point Software are ranked lower than 15 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak technical indicators, Check Point sustained solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Snowflake and Check Point

The main advantage of trading using opposite Snowflake and Check Point positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Snowflake 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 Snowflake 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.

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 Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.