Correlation Between Ssangyong Materials and HB Technology
Can any of the company-specific risk be diversified away by investing in both Ssangyong Materials and HB Technology 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 HB Technology 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 HB Technology TD, you can compare the effects of market volatilities on Ssangyong Materials and HB Technology 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 HB Technology. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ssangyong Materials and HB Technology.
Diversification Opportunities for Ssangyong Materials and HB Technology
0.45 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Ssangyong and 078150 is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding Ssangyong Materials Corp and HB Technology TD in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on HB Technology TD 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 HB Technology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of HB Technology TD has no effect on the direction of Ssangyong Materials i.e., Ssangyong Materials and HB Technology go up and down completely randomly.
Pair Corralation between Ssangyong Materials and HB Technology
Assuming the 90 days trading horizon Ssangyong Materials Corp is expected to generate 0.77 times more return on investment than HB Technology. However, Ssangyong Materials Corp is 1.29 times less risky than HB Technology. It trades about 0.03 of its potential returns per unit of risk. HB Technology TD is currently generating about -0.01 per unit of risk. If you would invest 230,000 in Ssangyong Materials Corp on October 9, 2024 and sell it today you would earn a total of 5,000 from holding Ssangyong Materials Corp or generate 2.17% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Ssangyong Materials Corp vs. HB Technology TD
Performance |
Timeline |
Ssangyong Materials Corp |
HB Technology TD |
Ssangyong Materials and HB Technology Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ssangyong Materials and HB Technology
The main advantage of trading using opposite Ssangyong Materials and HB Technology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ssangyong Materials position performs unexpectedly, HB Technology 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 HB Technology will offset losses from the drop in HB Technology's long position.Ssangyong Materials vs. Seohee Construction Co | Ssangyong Materials vs. Samsung Life Insurance | Ssangyong Materials vs. GS Engineering Construction | Ssangyong Materials vs. Camus Engineering Construction |
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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 Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
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