Correlation Between Soybean Futures and Wheat Futures
Can any of the company-specific risk be diversified away by investing in both Soybean Futures and Wheat 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 Soybean Futures and Wheat Futures into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Soybean Futures and Wheat Futures, you can compare the effects of market volatilities on Soybean Futures and Wheat 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 Soybean Futures with a short position of Wheat Futures. Check out your portfolio center. Please also check ongoing floating volatility patterns of Soybean Futures and Wheat Futures.
Diversification Opportunities for Soybean Futures and Wheat Futures
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Soybean and Wheat is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding Soybean Futures and Wheat Futures in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wheat Futures and Soybean Futures 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 Soybean Futures are associated (or correlated) with Wheat Futures. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wheat Futures has no effect on the direction of Soybean Futures i.e., Soybean Futures and Wheat Futures go up and down completely randomly.
Pair Corralation between Soybean Futures and Wheat Futures
Assuming the 90 days horizon Soybean Futures is expected to generate 1.91 times less return on investment than Wheat Futures. But when comparing it to its historical volatility, Soybean Futures is 1.45 times less risky than Wheat Futures. It trades about 0.02 of its potential returns per unit of risk. Wheat Futures is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 55,150 in Wheat Futures on December 26, 2024 and sell it today you would earn a total of 1,350 from holding Wheat Futures or generate 2.45% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Soybean Futures vs. Wheat Futures
Performance |
Timeline |
Soybean Futures |
Wheat Futures |
Soybean Futures and Wheat Futures Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Soybean Futures and Wheat Futures
The main advantage of trading using opposite Soybean Futures and Wheat Futures positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Soybean Futures position performs unexpectedly, Wheat 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 Wheat Futures will offset losses from the drop in Wheat Futures' long position.Soybean Futures vs. Rough Rice Futures | Soybean Futures vs. Micro Silver Futures | Soybean Futures vs. Natural Gas | Soybean Futures vs. Palladium |
Wheat Futures vs. Lumber Futures | Wheat Futures vs. Cocoa | Wheat Futures vs. Corn Futures | Wheat Futures vs. Lean Hogs Futures |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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