Correlation Between Union Materials and Samlip General
Can any of the company-specific risk be diversified away by investing in both Union Materials and Samlip General 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 Union Materials and Samlip General into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Union Materials Corp and Samlip General Foods, you can compare the effects of market volatilities on Union Materials and Samlip General 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 Union Materials with a short position of Samlip General. Check out your portfolio center. Please also check ongoing floating volatility patterns of Union Materials and Samlip General.
Diversification Opportunities for Union Materials and Samlip General
-0.05 | Correlation Coefficient |
Good diversification
The 3 months correlation between Union and Samlip is -0.05. Overlapping area represents the amount of risk that can be diversified away by holding Union Materials Corp and Samlip General Foods in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samlip General Foods and Union Materials 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 Union Materials Corp are associated (or correlated) with Samlip General. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samlip General Foods has no effect on the direction of Union Materials i.e., Union Materials and Samlip General go up and down completely randomly.
Pair Corralation between Union Materials and Samlip General
Assuming the 90 days trading horizon Union Materials Corp is expected to generate 2.98 times more return on investment than Samlip General. However, Union Materials is 2.98 times more volatile than Samlip General Foods. It trades about 0.02 of its potential returns per unit of risk. Samlip General Foods is currently generating about -0.02 per unit of risk. If you would invest 247,500 in Union Materials Corp on October 11, 2024 and sell it today you would lose (15,000) from holding Union Materials Corp or give up 6.06% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Union Materials Corp vs. Samlip General Foods
Performance |
Timeline |
Union Materials Corp |
Samlip General Foods |
Union Materials and Samlip General Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Union Materials and Samlip General
The main advantage of trading using opposite Union Materials and Samlip General positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Union Materials position performs unexpectedly, Samlip General 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 Samlip General will offset losses from the drop in Samlip General's long position.Union Materials vs. Worldex Industry Trading | Union Materials vs. Sangsangin Investment Securities | Union Materials vs. Dongkuk Structures Construction | Union Materials vs. DB Financial Investment |
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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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