Correlation Between Golden Agri-Resources and SW Seed
Can any of the company-specific risk be diversified away by investing in both Golden Agri-Resources and SW Seed 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 Golden Agri-Resources and SW Seed into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Golden Agri Resources and SW Seed Company, you can compare the effects of market volatilities on Golden Agri-Resources and SW Seed 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 Golden Agri-Resources with a short position of SW Seed. Check out your portfolio center. Please also check ongoing floating volatility patterns of Golden Agri-Resources and SW Seed.
Diversification Opportunities for Golden Agri-Resources and SW Seed
0.49 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Golden and SANW is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding Golden Agri Resources and SW Seed Company in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SW Seed Company and Golden Agri-Resources 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 Golden Agri Resources are associated (or correlated) with SW Seed. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SW Seed Company has no effect on the direction of Golden Agri-Resources i.e., Golden Agri-Resources and SW Seed go up and down completely randomly.
Pair Corralation between Golden Agri-Resources and SW Seed
Assuming the 90 days horizon Golden Agri Resources is expected to generate 1.21 times more return on investment than SW Seed. However, Golden Agri-Resources is 1.21 times more volatile than SW Seed Company. It trades about 0.05 of its potential returns per unit of risk. SW Seed Company is currently generating about -0.02 per unit of risk. If you would invest 16.00 in Golden Agri Resources on June 23, 2024 and sell it today you would earn a total of 5.00 from holding Golden Agri Resources or generate 31.25% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 61.21% |
Values | Daily Returns |
Golden Agri Resources vs. SW Seed Company
Performance |
Timeline |
Golden Agri Resources |
SW Seed Company |
Golden Agri-Resources and SW Seed Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Golden Agri-Resources and SW Seed
The main advantage of trading using opposite Golden Agri-Resources and SW Seed positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Golden Agri-Resources position performs unexpectedly, SW Seed 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 SW Seed will offset losses from the drop in SW Seed's long position.Golden Agri-Resources vs. Artisan Consumer Goods | Golden Agri-Resources vs. Altavoz Entertainment | Golden Agri-Resources vs. Avi Ltd ADR | Golden Agri-Resources vs. Aryzta AG PK |
SW Seed vs. Golden Agri Resources | SW Seed vs. Wilmar International | SW Seed vs. Fresh Del Monte | SW Seed vs. Limoneira Co |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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