Correlation Between Snowflake and Shopify
Can any of the company-specific risk be diversified away by investing in both Snowflake and Shopify 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 Shopify into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Snowflake and Shopify, you can compare the effects of market volatilities on Snowflake and Shopify 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 Shopify. Check out your portfolio center. Please also check ongoing floating volatility patterns of Snowflake and Shopify.
Diversification Opportunities for Snowflake and Shopify
Poor diversification
The 3 months correlation between Snowflake and Shopify is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding Snowflake and Shopify in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shopify 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 Shopify. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shopify has no effect on the direction of Snowflake i.e., Snowflake and Shopify go up and down completely randomly.
Pair Corralation between Snowflake and Shopify
Given the investment horizon of 90 days Snowflake is expected to generate 2.81 times less return on investment than Shopify. But when comparing it to its historical volatility, Snowflake is 1.02 times less risky than Shopify. It trades about 0.02 of its potential returns per unit of risk. Shopify is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 4,306 in Shopify on August 23, 2024 and sell it today you would earn a total of 6,342 from holding Shopify or generate 147.28% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Snowflake vs. Shopify
Performance |
| Timeline |
| Snowflake |
| Shopify |
Snowflake and Shopify Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Snowflake and Shopify
The main advantage of trading using opposite Snowflake and Shopify positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Snowflake position performs unexpectedly, Shopify 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 Shopify will offset losses from the drop in Shopify's long position.The idea behind Snowflake and Shopify 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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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