Correlation Between Ssangyong Materials and PI Advanced
Can any of the company-specific risk be diversified away by investing in both Ssangyong Materials and PI Advanced 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 PI Advanced 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 PI Advanced Materials, you can compare the effects of market volatilities on Ssangyong Materials and PI Advanced 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 PI Advanced. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ssangyong Materials and PI Advanced.
Diversification Opportunities for Ssangyong Materials and PI Advanced
-0.36 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Ssangyong and 178920 is -0.36. Overlapping area represents the amount of risk that can be diversified away by holding Ssangyong Materials Corp and PI Advanced Materials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PI Advanced Materials 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 PI Advanced. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PI Advanced Materials has no effect on the direction of Ssangyong Materials i.e., Ssangyong Materials and PI Advanced go up and down completely randomly.
Pair Corralation between Ssangyong Materials and PI Advanced
Assuming the 90 days trading horizon Ssangyong Materials Corp is expected to generate 0.96 times more return on investment than PI Advanced. However, Ssangyong Materials Corp is 1.04 times less risky than PI Advanced. It trades about 0.05 of its potential returns per unit of risk. PI Advanced Materials is currently generating about -0.13 per unit of risk. If you would invest 211,000 in Ssangyong Materials Corp on September 14, 2024 and sell it today you would earn a total of 15,500 from holding Ssangyong Materials Corp or generate 7.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Ssangyong Materials Corp vs. PI Advanced Materials
Performance |
Timeline |
Ssangyong Materials Corp |
PI Advanced Materials |
Ssangyong Materials and PI Advanced Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ssangyong Materials and PI Advanced
The main advantage of trading using opposite Ssangyong Materials and PI Advanced positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ssangyong Materials position performs unexpectedly, PI Advanced 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 PI Advanced will offset losses from the drop in PI Advanced's long position.Ssangyong Materials vs. Samsung Electronics Co | Ssangyong Materials vs. Samsung Electronics Co | Ssangyong Materials vs. SK Hynix | Ssangyong Materials vs. POSCO Holdings |
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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 Comparator module to compare the composition, asset allocations and performance of any two portfolios in your account.
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