Correlation Between Ssangyong Materials and National Plastic
Can any of the company-specific risk be diversified away by investing in both Ssangyong Materials and National Plastic 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 Ssangyong Materials and National Plastic into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ssangyong Materials Corp and National Plastic Co, you can compare the effects of market volatilities on Ssangyong Materials and National Plastic 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 Ssangyong Materials with a short position of National Plastic. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ssangyong Materials and National Plastic.
Diversification Opportunities for Ssangyong Materials and National Plastic
0.26 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Ssangyong and National is 0.26. Overlapping area represents the amount of risk that can be diversified away by holding Ssangyong Materials Corp and National Plastic Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on National Plastic and Ssangyong 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 Ssangyong Materials Corp are associated (or correlated) with National Plastic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of National Plastic has no effect on the direction of Ssangyong Materials i.e., Ssangyong Materials and National Plastic go up and down completely randomly.
Pair Corralation between Ssangyong Materials and National Plastic
Assuming the 90 days trading horizon Ssangyong Materials Corp is expected to generate 3.09 times more return on investment than National Plastic. However, Ssangyong Materials is 3.09 times more volatile than National Plastic Co. It trades about -0.05 of its potential returns per unit of risk. National Plastic Co is currently generating about -0.19 per unit of risk. If you would invest 215,500 in Ssangyong Materials Corp on December 27, 2024 and sell it today you would lose (18,500) from holding Ssangyong Materials Corp or give up 8.58% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Ssangyong Materials Corp vs. National Plastic Co
Performance |
Timeline |
Ssangyong Materials Corp |
National Plastic |
Ssangyong Materials and National Plastic Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ssangyong Materials and National Plastic
The main advantage of trading using opposite Ssangyong Materials and National Plastic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ssangyong Materials position performs unexpectedly, National Plastic 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 National Plastic will offset losses from the drop in National Plastic's long position.Ssangyong Materials vs. JC Chemical Co | Ssangyong Materials vs. LG Chemicals | Ssangyong Materials vs. Kukdo Chemical Co | Ssangyong Materials vs. Duksan Hi Metal |
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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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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