Correlation Between SoFi Technologies and Soybean Meal
Can any of the company-specific risk be diversified away by investing in both SoFi Technologies 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 SoFi Technologies and Soybean Meal into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SoFi Technologies and Soybean Meal Futures, you can compare the effects of market volatilities on SoFi Technologies 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 SoFi Technologies with a short position of Soybean Meal. Check out your portfolio center. Please also check ongoing floating volatility patterns of SoFi Technologies and Soybean Meal.
Diversification Opportunities for SoFi Technologies and Soybean Meal
-0.82 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between SoFi and Soybean is -0.82. Overlapping area represents the amount of risk that can be diversified away by holding SoFi Technologies 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 SoFi Technologies 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 SoFi Technologies 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 SoFi Technologies i.e., SoFi Technologies and Soybean Meal go up and down completely randomly.
Pair Corralation between SoFi Technologies and Soybean Meal
Given the investment horizon of 90 days SoFi Technologies is expected to generate 2.01 times more return on investment than Soybean Meal. However, SoFi Technologies is 2.01 times more volatile than Soybean Meal Futures. It trades about 0.07 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 838.00 in SoFi Technologies on August 28, 2024 and sell it today you would earn a total of 732.00 from holding SoFi Technologies or generate 87.35% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Significant |
| Accuracy | 99.16% |
| Values | Daily Returns |
SoFi Technologies vs. Soybean Meal Futures
Performance |
| Timeline |
| SoFi Technologies |
| Soybean Meal Futures |
SoFi Technologies and Soybean Meal Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with SoFi Technologies and Soybean Meal
The main advantage of trading using opposite SoFi Technologies and Soybean Meal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SoFi Technologies 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.| SoFi Technologies vs. Upstart Holdings | SoFi Technologies vs. Affirm Holdings | SoFi Technologies vs. Lucid Group | SoFi Technologies vs. Palantir Technologies |
| Soybean Meal vs. Platinum | Soybean Meal vs. Soybean Futures | Soybean Meal vs. E Mini SP 500 | Soybean Meal vs. 30 Year Treasury |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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