Correlation Between SEALED AIR and Food Life
Can any of the company-specific risk be diversified away by investing in both SEALED AIR and Food Life 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 SEALED AIR and Food Life into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SEALED AIR and Food Life Companies, you can compare the effects of market volatilities on SEALED AIR and Food Life 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 SEALED AIR with a short position of Food Life. Check out your portfolio center. Please also check ongoing floating volatility patterns of SEALED AIR and Food Life.
Diversification Opportunities for SEALED AIR and Food Life
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between SEALED and Food is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding SEALED AIR and Food Life Companies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Food Life Companies and SEALED AIR 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 SEALED AIR are associated (or correlated) with Food Life. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Food Life Companies has no effect on the direction of SEALED AIR i.e., SEALED AIR and Food Life go up and down completely randomly.
Pair Corralation between SEALED AIR and Food Life
Assuming the 90 days trading horizon SEALED AIR is expected to under-perform the Food Life. But the stock apears to be less risky and, when comparing its historical volatility, SEALED AIR is 1.13 times less risky than Food Life. The stock trades about -0.03 of its potential returns per unit of risk. The Food Life Companies is currently generating about 0.28 of returns per unit of risk over similar time horizon. If you would invest 1,920 in Food Life Companies on September 22, 2024 and sell it today you would earn a total of 200.00 from holding Food Life Companies or generate 10.42% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
SEALED AIR vs. Food Life Companies
Performance |
Timeline |
SEALED AIR |
Food Life Companies |
SEALED AIR and Food Life Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SEALED AIR and Food Life
The main advantage of trading using opposite SEALED AIR and Food Life positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SEALED AIR position performs unexpectedly, Food Life 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 Food Life will offset losses from the drop in Food Life's long position.The idea behind SEALED AIR and Food Life Companies 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.Food Life vs. FORWARD AIR P | Food Life vs. SEALED AIR | Food Life vs. LOANDEPOT INC A | Food Life vs. Magnachip Semiconductor |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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