Correlation Between Rough Rice and Feeder Cattle
Can any of the company-specific risk be diversified away by investing in both Rough Rice and Feeder Cattle 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 Rough Rice and Feeder Cattle into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Rough Rice Futures and Feeder Cattle Futures, you can compare the effects of market volatilities on Rough Rice and Feeder Cattle 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 Rough Rice with a short position of Feeder Cattle. Check out your portfolio center. Please also check ongoing floating volatility patterns of Rough Rice and Feeder Cattle.
Diversification Opportunities for Rough Rice and Feeder Cattle
0.07 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Rough and Feeder is 0.07. Overlapping area represents the amount of risk that can be diversified away by holding Rough Rice Futures and Feeder Cattle Futures in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Feeder Cattle Futures and Rough Rice 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 Rough Rice Futures are associated (or correlated) with Feeder Cattle. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Feeder Cattle Futures has no effect on the direction of Rough Rice i.e., Rough Rice and Feeder Cattle go up and down completely randomly.
Pair Corralation between Rough Rice and Feeder Cattle
Assuming the 90 days horizon Rough Rice Futures is expected to under-perform the Feeder Cattle. In addition to that, Rough Rice is 2.33 times more volatile than Feeder Cattle Futures. It trades about -0.01 of its total potential returns per unit of risk. Feeder Cattle Futures is currently generating about 0.08 per unit of volatility. If you would invest 21,795 in Feeder Cattle Futures on September 4, 2024 and sell it today you would earn a total of 3,890 from holding Feeder Cattle Futures or generate 17.85% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.02% |
Values | Daily Returns |
Rough Rice Futures vs. Feeder Cattle Futures
Performance |
Timeline |
Rough Rice Futures |
Feeder Cattle Futures |
Rough Rice and Feeder Cattle Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Rough Rice and Feeder Cattle
The main advantage of trading using opposite Rough Rice and Feeder Cattle positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Rough Rice position performs unexpectedly, Feeder Cattle 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 Feeder Cattle will offset losses from the drop in Feeder Cattle's long position.Rough Rice vs. Gold Futures | Rough Rice vs. Soybean Meal Futures | Rough Rice vs. Coffee | Rough Rice vs. Sugar |
Feeder Cattle vs. Rough Rice Futures | Feeder Cattle vs. Platinum | Feeder Cattle vs. Soybean Futures | Feeder Cattle vs. E Mini SP 500 |
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 Content Syndication module to quickly integrate customizable finance content to your own investment portal.
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