Correlation Between SentinelOne and Treehouse Foods
Can any of the company-specific risk be diversified away by investing in both SentinelOne and Treehouse Foods 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 SentinelOne and Treehouse Foods into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SentinelOne and Treehouse Foods, you can compare the effects of market volatilities on SentinelOne and Treehouse Foods 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 SentinelOne with a short position of Treehouse Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of SentinelOne and Treehouse Foods.
Diversification Opportunities for SentinelOne and Treehouse Foods
0.44 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between SentinelOne and Treehouse is 0.44. Overlapping area represents the amount of risk that can be diversified away by holding SentinelOne and Treehouse Foods in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Treehouse Foods and SentinelOne 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 SentinelOne are associated (or correlated) with Treehouse Foods. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Treehouse Foods has no effect on the direction of SentinelOne i.e., SentinelOne and Treehouse Foods go up and down completely randomly.
Pair Corralation between SentinelOne and Treehouse Foods
Taking into account the 90-day investment horizon SentinelOne is expected to generate 1.06 times more return on investment than Treehouse Foods. However, SentinelOne is 1.06 times more volatile than Treehouse Foods. It trades about -0.07 of its potential returns per unit of risk. Treehouse Foods is currently generating about -0.1 per unit of risk. If you would invest 2,021 in SentinelOne on May 16, 2025 and sell it today you would lose (302.00) from holding SentinelOne or give up 14.94% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
SentinelOne vs. Treehouse Foods
Performance |
Timeline |
SentinelOne |
Treehouse Foods |
SentinelOne and Treehouse Foods Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SentinelOne and Treehouse Foods
The main advantage of trading using opposite SentinelOne and Treehouse Foods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SentinelOne position performs unexpectedly, Treehouse Foods 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 Treehouse Foods will offset losses from the drop in Treehouse Foods' long position.SentinelOne vs. Alarum Technologies | SentinelOne vs. Tenable Holdings | SentinelOne vs. Rackspace Technology | SentinelOne vs. CiT Inc |
Treehouse Foods vs. Bellring Brands LLC | Treehouse Foods vs. Flowers Foods | Treehouse Foods vs. The Hain Celestial | Treehouse Foods vs. J J Snack |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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