Correlation Between Snowflake and SoundHound
Can any of the company-specific risk be diversified away by investing in both Snowflake and SoundHound 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 SoundHound into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Snowflake and SoundHound AI, you can compare the effects of market volatilities on Snowflake and SoundHound 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 SoundHound. Check out your portfolio center. Please also check ongoing floating volatility patterns of Snowflake and SoundHound.
Diversification Opportunities for Snowflake and SoundHound
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Snowflake and SoundHound is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding Snowflake and SoundHound AI in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SoundHound AI 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 SoundHound. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SoundHound AI has no effect on the direction of Snowflake i.e., Snowflake and SoundHound go up and down completely randomly.
Pair Corralation between Snowflake and SoundHound
Given the investment horizon of 90 days Snowflake is expected to generate 0.2 times more return on investment than SoundHound. However, Snowflake is 5.02 times less risky than SoundHound. It trades about 0.2 of its potential returns per unit of risk. SoundHound AI is currently generating about -0.23 per unit of risk. If you would invest 16,144 in Snowflake on October 22, 2024 and sell it today you would earn a total of 935.00 from holding Snowflake or generate 5.79% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Snowflake vs. SoundHound AI
Performance |
| Timeline |
| Snowflake |
| SoundHound AI |
Snowflake and SoundHound Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Snowflake and SoundHound
The main advantage of trading using opposite Snowflake and SoundHound positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Snowflake position performs unexpectedly, SoundHound 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 SoundHound will offset losses from the drop in SoundHound's long position.The idea behind Snowflake and SoundHound AI 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.| SoundHound vs. Snowflake | SoundHound vs. Zoom Video Communications | SoundHound vs. Shopify | SoundHound vs. Workday |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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