Correlation Between Integral and John B
Can any of the company-specific risk be diversified away by investing in both Integral and John B 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 Integral and John B into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Integral Ad Science and John B Sanfilippo, you can compare the effects of market volatilities on Integral and John B 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 Integral with a short position of John B. Check out your portfolio center. Please also check ongoing floating volatility patterns of Integral and John B.
Diversification Opportunities for Integral and John B
Good diversification
The 3 months correlation between Integral and John is -0.05. Overlapping area represents the amount of risk that can be diversified away by holding Integral Ad Science and John B Sanfilippo in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on John B Sanfilippo and Integral 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 Integral Ad Science are associated (or correlated) with John B. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of John B Sanfilippo has no effect on the direction of Integral i.e., Integral and John B go up and down completely randomly.
Pair Corralation between Integral and John B
Considering the 90-day investment horizon Integral Ad Science is expected to generate 1.57 times more return on investment than John B. However, Integral is 1.57 times more volatile than John B Sanfilippo. It trades about 0.0 of its potential returns per unit of risk. John B Sanfilippo is currently generating about -0.05 per unit of risk. If you would invest 1,063 in Integral Ad Science on October 26, 2024 and sell it today you would lose (40.00) from holding Integral Ad Science or give up 3.76% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Integral Ad Science vs. John B Sanfilippo
Performance |
| Timeline |
| Integral Ad Science |
| John B Sanfilippo |
Integral and John B Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Integral and John B
The main advantage of trading using opposite Integral and John B positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Integral position performs unexpectedly, John B 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 John B will offset losses from the drop in John B's long position.The idea behind Integral Ad Science and John B Sanfilippo 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.| John B vs. Lancaster Colony | John B vs. Treehouse Foods | John B vs. Seneca Foods Corp | John B 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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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