Correlation Between Snowflake and Thinkific Labs
Can any of the company-specific risk be diversified away by investing in both Snowflake and Thinkific Labs 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 Thinkific Labs into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Snowflake and Thinkific Labs, you can compare the effects of market volatilities on Snowflake and Thinkific Labs 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 Thinkific Labs. Check out your portfolio center. Please also check ongoing floating volatility patterns of Snowflake and Thinkific Labs.
Diversification Opportunities for Snowflake and Thinkific Labs
0.47 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Snowflake and Thinkific is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding Snowflake and Thinkific Labs in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Thinkific Labs 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 Thinkific Labs. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Thinkific Labs has no effect on the direction of Snowflake i.e., Snowflake and Thinkific Labs go up and down completely randomly.
Pair Corralation between Snowflake and Thinkific Labs
Given the investment horizon of 90 days Snowflake is expected to generate 7.1 times more return on investment than Thinkific Labs. However, Snowflake is 7.1 times more volatile than Thinkific Labs. It trades about 0.2 of its potential returns per unit of risk. Thinkific Labs is currently generating about 0.31 per unit of risk. If you would invest 13,073 in Snowflake on September 14, 2024 and sell it today you would earn a total of 3,927 from holding Snowflake or generate 30.04% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 95.45% |
| Values | Daily Returns |
Snowflake vs. Thinkific Labs
Performance |
| Timeline |
| Snowflake |
| Thinkific Labs |
Snowflake and Thinkific Labs Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Snowflake and Thinkific Labs
The main advantage of trading using opposite Snowflake and Thinkific Labs positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Snowflake position performs unexpectedly, Thinkific Labs 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 Thinkific Labs will offset losses from the drop in Thinkific Labs' long position.The idea behind Snowflake and Thinkific Labs 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.| Thinkific Labs vs. Mojo Data Solutions | Thinkific Labs vs. Obocon Inc | Thinkific Labs vs. UBI Blockchain Internet | Thinkific Labs vs. Generative AI Solutions |
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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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