Correlation Between Samyung Trading and Hyosung Advanced
Can any of the company-specific risk be diversified away by investing in both Samyung Trading and Hyosung 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 Samyung Trading and Hyosung Advanced into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Samyung Trading Co and Hyosung Advanced Materials, you can compare the effects of market volatilities on Samyung Trading and Hyosung 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 Samyung Trading with a short position of Hyosung Advanced. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samyung Trading and Hyosung Advanced.
Diversification Opportunities for Samyung Trading and Hyosung Advanced
-0.39 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Samyung and Hyosung is -0.39. Overlapping area represents the amount of risk that can be diversified away by holding Samyung Trading Co and Hyosung Advanced Materials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hyosung Advanced Mat and Samyung Trading 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 Samyung Trading Co are associated (or correlated) with Hyosung Advanced. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hyosung Advanced Mat has no effect on the direction of Samyung Trading i.e., Samyung Trading and Hyosung Advanced go up and down completely randomly.
Pair Corralation between Samyung Trading and Hyosung Advanced
Assuming the 90 days trading horizon Samyung Trading Co is expected to generate 0.35 times more return on investment than Hyosung Advanced. However, Samyung Trading Co is 2.82 times less risky than Hyosung Advanced. It trades about 0.03 of its potential returns per unit of risk. Hyosung Advanced Materials is currently generating about -0.03 per unit of risk. If you would invest 1,190,852 in Samyung Trading Co on September 21, 2024 and sell it today you would earn a total of 136,148 from holding Samyung Trading Co or generate 11.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Samyung Trading Co vs. Hyosung Advanced Materials
Performance |
Timeline |
Samyung Trading |
Hyosung Advanced Mat |
Samyung Trading and Hyosung Advanced Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samyung Trading and Hyosung Advanced
The main advantage of trading using opposite Samyung Trading and Hyosung Advanced positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samyung Trading position performs unexpectedly, Hyosung 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 Hyosung Advanced will offset losses from the drop in Hyosung Advanced's long position.Samyung Trading vs. Samsung Electronics Co | Samyung Trading vs. Samsung Electronics Co | Samyung Trading vs. SK Hynix | Samyung Trading 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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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