Correlation Between Federal Agricultural and BG Foods
Can any of the company-specific risk be diversified away by investing in both Federal Agricultural and BG 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 Federal Agricultural and BG Foods into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Federal Agricultural Mortgage and BG Foods, you can compare the effects of market volatilities on Federal Agricultural and BG 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 Federal Agricultural with a short position of BG Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of Federal Agricultural and BG Foods.
Diversification Opportunities for Federal Agricultural and BG Foods
0.03 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Federal and DHR is 0.03. Overlapping area represents the amount of risk that can be diversified away by holding Federal Agricultural Mortgage and BG Foods in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BG Foods and Federal Agricultural 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 Federal Agricultural Mortgage are associated (or correlated) with BG Foods. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BG Foods has no effect on the direction of Federal Agricultural i.e., Federal Agricultural and BG Foods go up and down completely randomly.
Pair Corralation between Federal Agricultural and BG Foods
Assuming the 90 days horizon Federal Agricultural Mortgage is expected to under-perform the BG Foods. But the stock apears to be less risky and, when comparing its historical volatility, Federal Agricultural Mortgage is 1.65 times less risky than BG Foods. The stock trades about -0.07 of its potential returns per unit of risk. The BG Foods is currently generating about 0.0 of returns per unit of risk over similar time horizon. If you would invest 670.00 in BG Foods on December 21, 2024 and sell it today you would lose (12.00) from holding BG Foods or give up 1.79% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Federal Agricultural Mortgage vs. BG Foods
Performance |
Timeline |
Federal Agricultural |
BG Foods |
Federal Agricultural and BG Foods Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Federal Agricultural and BG Foods
The main advantage of trading using opposite Federal Agricultural and BG Foods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Federal Agricultural position performs unexpectedly, BG 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 BG Foods will offset losses from the drop in BG Foods' long position.Federal Agricultural vs. MAGIC SOFTWARE ENTR | Federal Agricultural vs. Axway Software SA | Federal Agricultural vs. FORMPIPE SOFTWARE AB | Federal Agricultural vs. ASURE SOFTWARE |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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