Correlation Between Dow Jones and Soybean Meal
Can any of the company-specific risk be diversified away by investing in both Dow Jones and Soybean Meal 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 Dow Jones and Soybean Meal into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dow Jones Industrial and Soybean Meal Futures, you can compare the effects of market volatilities on Dow Jones and Soybean Meal 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 Dow Jones with a short position of Soybean Meal. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dow Jones and Soybean Meal.
Diversification Opportunities for Dow Jones and Soybean Meal
-0.56 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Dow and Soybean is -0.56. Overlapping area represents the amount of risk that can be diversified away by holding Dow Jones Industrial and Soybean Meal Futures in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Soybean Meal Futures and Dow Jones 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 Dow Jones Industrial are associated (or correlated) with Soybean Meal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Soybean Meal Futures has no effect on the direction of Dow Jones i.e., Dow Jones and Soybean Meal go up and down completely randomly.
Pair Corralation between Dow Jones and Soybean Meal
Assuming the 90 days trading horizon Dow Jones Industrial is expected to generate 0.35 times more return on investment than Soybean Meal. However, Dow Jones Industrial is 2.83 times less risky than Soybean Meal. It trades about 0.12 of its potential returns per unit of risk. Soybean Meal Futures is currently generating about -0.04 per unit of risk. If you would invest 3,383,361 in Dow Jones Industrial on August 31, 2024 and sell it today you would earn a total of 1,107,704 from holding Dow Jones Industrial or generate 32.74% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 99.2% |
| Values | Daily Returns |
Dow Jones Industrial vs. Soybean Meal Futures
Performance |
| Timeline |
Dow Jones and Soybean Meal Volatility Contrast
Predicted Return Density |
| Returns |
Dow Jones Industrial
Pair trading matchups for Dow Jones
Soybean Meal Futures
Pair trading matchups for Soybean Meal
Pair Trading with Dow Jones and Soybean Meal
The main advantage of trading using opposite Dow Jones and Soybean Meal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dow Jones position performs unexpectedly, Soybean Meal 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 Meal will offset losses from the drop in Soybean Meal's long position.| Dow Jones vs. Aerofoam Metals | Dow Jones vs. ACG Metals Limited | Dow Jones vs. China Clean Energy | Dow Jones vs. Fast Retailing Co |
| Soybean Meal vs. Coffee | Soybean Meal vs. Sugar | Soybean Meal vs. 10 Year T Note Futures | Soybean Meal vs. Nasdaq 100 |
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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