Correlation Between Autodesk and Snowflake

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

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

Diversification Opportunities for Autodesk and Snowflake

0.79

Correlation Coefficient

Autodesk  Snowflake

Poor diversification

The 3 months correlation between Autodesk and Snowflake is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Autodesk and Snowflake in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Snowflake and Autodesk 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 Autodesk 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 Autodesk i.e., Autodesk and Snowflake go up and down completely randomly.

Pair Corralation between Autodesk and Snowflake

Assuming the 90 days trading horizon Autodesk is expected to generate 4.89 times less return on investment than Snowflake. But when comparing it to its historical volatility, Autodesk is 1.49 times less risky than Snowflake. It trades about 0.09 of its potential returns per unit of risk. Snowflake is currently generating about 0.29 of returns per unit of risk over similar time horizon. If you would invest  1,988  in Snowflake on April 20, 2025 and sell it today you would earn a total of  1,045  from holding Snowflake or generate 52.57% return on investment over 90 days.

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

Autodesk  vs.  Snowflake

Autodesk

Risk-Adjusted Performance

OK

Compared to the overall equity markets, risk-adjusted returns on investments in Autodesk are ranked lower than 6 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak basic indicators, Autodesk may actually be approaching a critical reversion point that can send shares even higher in August 2025.

Snowflake

Risk-Adjusted Performance

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Snowflake are ranked lower than 22 (%) 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.

Pair Trading with Autodesk and Snowflake

The main advantage of trading using opposite Autodesk and Snowflake positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Autodesk 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 Autodesk 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 Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.