Correlation Between Seoam Machinery and Samyang Foods
Can any of the company-specific risk be diversified away by investing in both Seoam Machinery and Samyang Foods 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 Seoam Machinery and Samyang Foods into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Seoam Machinery Industry and Samyang Foods Co, you can compare the effects of market volatilities on Seoam Machinery and Samyang Foods 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 Seoam Machinery with a short position of Samyang Foods. Check out your portfolio center. Please also check ongoing floating volatility patterns of Seoam Machinery and Samyang Foods.
Diversification Opportunities for Seoam Machinery and Samyang Foods
-0.39 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Seoam and Samyang is -0.39. Overlapping area represents the amount of risk that can be diversified away by holding Seoam Machinery Industry and Samyang Foods Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samyang Foods and Seoam Machinery 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 Seoam Machinery Industry are associated (or correlated) with Samyang Foods. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samyang Foods has no effect on the direction of Seoam Machinery i.e., Seoam Machinery and Samyang Foods go up and down completely randomly.
Pair Corralation between Seoam Machinery and Samyang Foods
Assuming the 90 days trading horizon Seoam Machinery Industry is expected to generate 0.77 times more return on investment than Samyang Foods. However, Seoam Machinery Industry is 1.3 times less risky than Samyang Foods. It trades about 0.41 of its potential returns per unit of risk. Samyang Foods Co is currently generating about 0.3 per unit of risk. If you would invest 306,952 in Seoam Machinery Industry on October 10, 2024 and sell it today you would earn a total of 74,048 from holding Seoam Machinery Industry or generate 24.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Seoam Machinery Industry vs. Samyang Foods Co
Performance |
Timeline |
Seoam Machinery Industry |
Samyang Foods |
Seoam Machinery and Samyang Foods Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Seoam Machinery and Samyang Foods
The main advantage of trading using opposite Seoam Machinery and Samyang Foods positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Seoam Machinery position performs unexpectedly, Samyang Foods 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 Samyang Foods will offset losses from the drop in Samyang Foods' long position.Seoam Machinery vs. Kukdong Oil Chemicals | Seoam Machinery vs. Kukdo Chemical Co | Seoam Machinery vs. Shinhan Inverse Silver | Seoam Machinery vs. Daejung Chemicals Metals |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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