Correlation Between Fastly and Snowflake

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

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

Diversification Opportunities for Fastly and Snowflake

0.36

Correlation Coefficient

Fastly  Snowflake

Weak diversification

The 3 months correlation between Fastly and Snowflake is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding Fastly Inc and Snowflake in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Snowflake and Fastly 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 Fastly Inc are associated (or correlated) with Snowflake. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Snowflake has no effect on the direction of Fastly i.e., Fastly and Snowflake go up and down completely randomly.

Pair Corralation between Fastly and Snowflake

Given the investment horizon of 90 days Fastly is expected to generate 1.2 times less return on investment than Snowflake. In addition to that, Fastly is 2.01 times more volatile than Snowflake. It trades about 0.09 of its total potential returns per unit of risk. Snowflake is currently generating about 0.22 per unit of volatility. If you would invest  16,536  in Snowflake on May 1, 2025 and sell it today you would earn a total of  5,340  from holding Snowflake or generate 32.29% return on investment over 90 days.

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

Fastly Inc  vs.  Snowflake

Fastly Inc

Risk-Adjusted Performance

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Fastly Inc are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. In spite of fairly unsteady essential indicators, Fastly showed solid returns over the last few months and may actually be approaching a breakup point.

Snowflake

Risk-Adjusted Performance

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Snowflake are ranked lower than 17 (%) of all global equities and portfolios over the last 90 days. In spite of fairly unfluctuating basic indicators, Snowflake showed solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Fastly and Snowflake

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

The idea behind Fastly Inc and Snowflake 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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.