Correlation Between 30 Day and Soybean Futures
Can any of the company-specific risk be diversified away by investing in both 30 Day and Soybean Futures 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 30 Day and Soybean Futures into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between 30 Day Fed and Soybean Futures, you can compare the effects of market volatilities on 30 Day and Soybean Futures 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 30 Day with a short position of Soybean Futures. Check out your portfolio center. Please also check ongoing floating volatility patterns of 30 Day and Soybean Futures.
Diversification Opportunities for 30 Day and Soybean Futures
-0.42 | Correlation Coefficient |
Very good diversification
The 3 months correlation between ZQUSD and Soybean is -0.42. Overlapping area represents the amount of risk that can be diversified away by holding 30 Day Fed and Soybean Futures in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Soybean Futures and 30 Day 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 30 Day Fed are associated (or correlated) with Soybean Futures. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Soybean Futures has no effect on the direction of 30 Day i.e., 30 Day and Soybean Futures go up and down completely randomly.
Pair Corralation between 30 Day and Soybean Futures
Assuming the 90 days horizon 30 Day is expected to generate 67.63 times less return on investment than Soybean Futures. But when comparing it to its historical volatility, 30 Day Fed is 74.23 times less risky than Soybean Futures. It trades about 0.05 of its potential returns per unit of risk. Soybean Futures is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 99,175 in Soybean Futures on December 29, 2024 and sell it today you would earn a total of 3,125 from holding Soybean Futures or generate 3.15% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
30 Day Fed vs. Soybean Futures
Performance |
Timeline |
30 Day Fed |
Soybean Futures |
30 Day and Soybean Futures Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with 30 Day and Soybean Futures
The main advantage of trading using opposite 30 Day and Soybean Futures positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if 30 Day position performs unexpectedly, Soybean Futures 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 Soybean Futures will offset losses from the drop in Soybean Futures' long position.30 Day vs. Rough Rice Futures | 30 Day vs. Soybean Meal Futures | 30 Day vs. Nasdaq 100 | 30 Day vs. Palladium |
Soybean Futures vs. Orange Juice | Soybean Futures vs. Brent Crude Oil | Soybean Futures vs. Natural Gas | Soybean Futures vs. Five Year Treasury Note |
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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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