Correlation Between Shopify and Snowflake
Can any of the company-specific risk be diversified away by investing in both Shopify 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 Shopify and Snowflake into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Shopify and Snowflake, you can compare the effects of market volatilities on Shopify 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 Shopify with a short position of Snowflake. Check out your portfolio center. Please also check ongoing floating volatility patterns of Shopify and Snowflake.
Diversification Opportunities for Shopify and Snowflake
Very poor diversification
The 3 months correlation between Shopify and Snowflake is 0.85. Overlapping area represents the amount of risk that can be diversified away by holding Shopify and Snowflake in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Snowflake and Shopify 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 Shopify 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 Shopify i.e., Shopify and Snowflake go up and down completely randomly.
Pair Corralation between Shopify and Snowflake
Assuming the 90 days horizon Shopify is expected to under-perform the Snowflake. In addition to that, Shopify is 1.28 times more volatile than Snowflake. It trades about -0.02 of its total potential returns per unit of risk. Snowflake is currently generating about -0.01 per unit of volatility. If you would invest 15,096 in Snowflake on December 28, 2024 and sell it today you would lose (464.00) from holding Snowflake or give up 3.07% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Shopify vs. Snowflake
Performance |
Timeline |
Shopify |
Snowflake |
Shopify and Snowflake Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Shopify and Snowflake
The main advantage of trading using opposite Shopify and Snowflake positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Shopify 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 Shopify 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.Snowflake vs. Microchip Technology Incorporated | Snowflake vs. AviChina Industry Technology | Snowflake vs. Take Two Interactive Software | Snowflake vs. Vishay Intertechnology |
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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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