Correlation Between Food Life and Federal Agricultural
Can any of the company-specific risk be diversified away by investing in both Food Life and Federal Agricultural 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 Food Life and Federal Agricultural into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Food Life Companies and Federal Agricultural Mortgage, you can compare the effects of market volatilities on Food Life and Federal Agricultural 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 Food Life with a short position of Federal Agricultural. Check out your portfolio center. Please also check ongoing floating volatility patterns of Food Life and Federal Agricultural.
Diversification Opportunities for Food Life and Federal Agricultural
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Food and Federal is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Food Life Companies and Federal Agricultural Mortgage in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federal Agricultural and Food Life 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 Food Life Companies are associated (or correlated) with Federal Agricultural. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federal Agricultural has no effect on the direction of Food Life i.e., Food Life and Federal Agricultural go up and down completely randomly.
Pair Corralation between Food Life and Federal Agricultural
Assuming the 90 days horizon Food Life Companies is expected to generate 0.87 times more return on investment than Federal Agricultural. However, Food Life Companies is 1.14 times less risky than Federal Agricultural. It trades about 0.2 of its potential returns per unit of risk. Federal Agricultural Mortgage is currently generating about 0.14 per unit of risk. If you would invest 1,720 in Food Life Companies on September 3, 2024 and sell it today you would earn a total of 420.00 from holding Food Life Companies or generate 24.42% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Food Life Companies vs. Federal Agricultural Mortgage
Performance |
Timeline |
Food Life Companies |
Federal Agricultural |
Food Life and Federal Agricultural Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Food Life and Federal Agricultural
The main advantage of trading using opposite Food Life and Federal Agricultural positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Food Life position performs unexpectedly, Federal Agricultural 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 Federal Agricultural will offset losses from the drop in Federal Agricultural's long position.Food Life vs. McDonalds | Food Life vs. Chipotle Mexican Grill | Food Life vs. Superior Plus Corp | Food Life vs. NMI Holdings |
Federal Agricultural vs. Visa Inc | Federal Agricultural vs. Visa Inc | Federal Agricultural vs. American Express | Federal Agricultural vs. ORIX Corporation |
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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