Correlation Between BOSTON BEER and Food Life
Can any of the company-specific risk be diversified away by investing in both BOSTON BEER 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 BOSTON BEER and Food Life into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BOSTON BEER A and Food Life Companies, you can compare the effects of market volatilities on BOSTON BEER 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 BOSTON BEER with a short position of Food Life. Check out your portfolio center. Please also check ongoing floating volatility patterns of BOSTON BEER and Food Life.
Diversification Opportunities for BOSTON BEER and Food Life
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between BOSTON and Food is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding BOSTON BEER A 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 BOSTON BEER 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 BOSTON BEER A 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 BOSTON BEER i.e., BOSTON BEER and Food Life go up and down completely randomly.
Pair Corralation between BOSTON BEER and Food Life
Assuming the 90 days trading horizon BOSTON BEER A is expected to under-perform the Food Life. But the stock apears to be less risky and, when comparing its historical volatility, BOSTON BEER A is 1.15 times less risky than Food Life. The stock trades about 0.0 of its potential returns per unit of risk. The Food Life Companies is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 1,860 in Food Life Companies on October 5, 2024 and sell it today you would earn a total of 140.00 from holding Food Life Companies or generate 7.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
BOSTON BEER A vs. Food Life Companies
Performance |
Timeline |
BOSTON BEER A |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
OK
Food Life Companies |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
OK
BOSTON BEER and Food Life Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BOSTON BEER and Food Life
The main advantage of trading using opposite BOSTON BEER and Food Life positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BOSTON BEER 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 BOSTON BEER A 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.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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
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