Correlation Between J J and Treehouse Foods
Can any of the company-specific risk be diversified away by investing in both J J 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 J J and Treehouse Foods into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between J J Snack and Treehouse Foods, you can compare the effects of market volatilities on J J 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 J J with a short position of Treehouse Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of J J and Treehouse Foods.
Diversification Opportunities for J J and Treehouse Foods
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between JJSF and Treehouse is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding J J Snack and Treehouse Foods in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Treehouse Foods and J J 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 J J Snack 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 J J i.e., J J and Treehouse Foods go up and down completely randomly.
Pair Corralation between J J and Treehouse Foods
Given the investment horizon of 90 days J J Snack is expected to generate 0.82 times more return on investment than Treehouse Foods. However, J J Snack is 1.22 times less risky than Treehouse Foods. It trades about -0.14 of its potential returns per unit of risk. Treehouse Foods is currently generating about -0.17 per unit of risk. If you would invest 15,439 in J J Snack on December 29, 2024 and sell it today you would lose (2,371) from holding J J Snack or give up 15.36% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
J J Snack vs. Treehouse Foods
Performance |
Timeline |
J J Snack |
Treehouse Foods |
J J and Treehouse Foods Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with J J and Treehouse Foods
The main advantage of trading using opposite J J and Treehouse Foods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if J J 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.The idea behind J J Snack and Treehouse Foods 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.Treehouse Foods vs. Lancaster Colony | Treehouse Foods vs. John B Sanfilippo | Treehouse Foods vs. Seneca Foods Corp | Treehouse Foods vs. Seneca Foods Corp |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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