Correlation Between C3 Ai and Snowflake

Can any of the company-specific risk be diversified away by investing in both C3 Ai 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 C3 Ai and Snowflake into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between C3 Ai Inc and Snowflake, you can compare the effects of market volatilities on C3 Ai 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 C3 Ai with a short position of Snowflake. Check out your portfolio center. Please also check ongoing floating volatility patterns of C3 Ai and Snowflake.

Diversification Opportunities for C3 Ai and Snowflake

0.63

Correlation Coefficient

C3 Ai  Snowflake

Poor diversification

The 3 months correlation between C3 Ai and Snowflake is 0.63. Overlapping area represents the amount of risk that can be diversified away by holding C3 Ai Inc and Snowflake in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Snowflake and C3 Ai 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 C3 Ai 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 C3 Ai i.e., C3 Ai and Snowflake go up and down completely randomly.

Pair Corralation between C3 Ai and Snowflake

Allowing for the 90-day total investment horizon C3 Ai is expected to generate 3.13 times less return on investment than Snowflake. In addition to that, C3 Ai is 1.67 times more volatile than Snowflake. It trades about 0.03 of its total potential returns per unit of risk. Snowflake is currently generating about 0.14 per unit of volatility. If you would invest  16,787  in Snowflake on May 3, 2025 and sell it today you would earn a total of  3,715  from holding Snowflake or generate 22.13% return on investment over 90 days.

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

C3 Ai Inc  vs.  Snowflake

C3 Ai Inc

Risk-Adjusted Performance

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in C3 Ai Inc are ranked lower than 2 (%) of all global equities and portfolios over the last 90 days. Despite fairly unfluctuating forward indicators, C3 Ai may actually be approaching a critical reversion point that can send shares even higher in September 2025.

Snowflake

Risk-Adjusted Performance

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Snowflake are ranked lower than 11 (%) of all global equities and portfolios over the last 90 days. In spite of fairly inconsistent basic indicators, Snowflake showed solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with C3 Ai and Snowflake

The main advantage of trading using opposite C3 Ai and Snowflake positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if C3 Ai 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 C3 Ai 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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.