Correlation Between Dongnam Chemical and Samlip General
Can any of the company-specific risk be diversified away by investing in both Dongnam Chemical 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 Dongnam Chemical and Samlip General into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dongnam Chemical Co and Samlip General Foods, you can compare the effects of market volatilities on Dongnam Chemical 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 Dongnam Chemical with a short position of Samlip General. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dongnam Chemical and Samlip General.
Diversification Opportunities for Dongnam Chemical and Samlip General
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Dongnam and Samlip is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding Dongnam Chemical Co 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 Dongnam Chemical 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 Dongnam Chemical Co 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 Dongnam Chemical i.e., Dongnam Chemical and Samlip General go up and down completely randomly.
Pair Corralation between Dongnam Chemical and Samlip General
Assuming the 90 days trading horizon Dongnam Chemical Co is expected to under-perform the Samlip General. In addition to that, Dongnam Chemical is 1.03 times more volatile than Samlip General Foods. It trades about -0.03 of its total potential returns per unit of risk. Samlip General Foods is currently generating about 0.02 per unit of volatility. If you would invest 4,989,006 in Samlip General Foods on September 30, 2024 and sell it today you would earn a total of 40,994 from holding Samlip General Foods or generate 0.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Dongnam Chemical Co vs. Samlip General Foods
Performance |
Timeline |
Dongnam Chemical |
Samlip General Foods |
Dongnam Chemical and Samlip General Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dongnam Chemical and Samlip General
The main advantage of trading using opposite Dongnam Chemical and Samlip General positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dongnam Chemical 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.Dongnam Chemical vs. AptaBio Therapeutics | Dongnam Chemical vs. Wonbang Tech Co | Dongnam Chemical vs. Busan Industrial Co | Dongnam Chemical vs. Busan Ind |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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