Correlation Between SW Seed and SLC Agricola
Can any of the company-specific risk be diversified away by investing in both SW Seed and SLC Agricola 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 SW Seed and SLC Agricola into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SW Seed Company and SLC Agricola SA, you can compare the effects of market volatilities on SW Seed and SLC Agricola 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 SW Seed with a short position of SLC Agricola. Check out your portfolio center. Please also check ongoing floating volatility patterns of SW Seed and SLC Agricola.
Diversification Opportunities for SW Seed and SLC Agricola
0.42 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between SANW and SLC is 0.42. Overlapping area represents the amount of risk that can be diversified away by holding SW Seed Company and SLC Agricola SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SLC Agricola SA and SW Seed 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 SW Seed Company are associated (or correlated) with SLC Agricola. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SLC Agricola SA has no effect on the direction of SW Seed i.e., SW Seed and SLC Agricola go up and down completely randomly.
Pair Corralation between SW Seed and SLC Agricola
Given the investment horizon of 90 days SW Seed Company is expected to under-perform the SLC Agricola. In addition to that, SW Seed is 6.64 times more volatile than SLC Agricola SA. It trades about -0.22 of its total potential returns per unit of risk. SLC Agricola SA is currently generating about 0.01 per unit of volatility. If you would invest 327.00 in SLC Agricola SA on May 7, 2025 and sell it today you would lose (1.00) from holding SLC Agricola SA or give up 0.31% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
SW Seed Company vs. SLC Agricola SA
Performance |
Timeline |
SW Seed Company |
SLC Agricola SA |
SW Seed and SLC Agricola Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SW Seed and SLC Agricola
The main advantage of trading using opposite SW Seed and SLC Agricola positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SW Seed position performs unexpectedly, SLC Agricola 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 SLC Agricola will offset losses from the drop in SLC Agricola's long position.The idea behind SW Seed Company and SLC Agricola SA pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.SLC Agricola vs. Austevoll Seafood ASA | SLC Agricola vs. Golden Agri Resources | SLC Agricola vs. SalMar ASA | SLC Agricola vs. Wilmar International |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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