Correlation Between Eugene Technology and Samyung Trading
Can any of the company-specific risk be diversified away by investing in both Eugene Technology and Samyung Trading 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 Eugene Technology and Samyung Trading into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Eugene Technology CoLtd and Samyung Trading Co, you can compare the effects of market volatilities on Eugene Technology and Samyung Trading 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 Eugene Technology with a short position of Samyung Trading. Check out your portfolio center. Please also check ongoing floating volatility patterns of Eugene Technology and Samyung Trading.
Diversification Opportunities for Eugene Technology and Samyung Trading
0.66 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Eugene and Samyung is 0.66. Overlapping area represents the amount of risk that can be diversified away by holding Eugene Technology CoLtd and Samyung Trading Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samyung Trading and Eugene Technology 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 Eugene Technology CoLtd are associated (or correlated) with Samyung Trading. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samyung Trading has no effect on the direction of Eugene Technology i.e., Eugene Technology and Samyung Trading go up and down completely randomly.
Pair Corralation between Eugene Technology and Samyung Trading
Assuming the 90 days trading horizon Eugene Technology CoLtd is expected to generate 4.48 times more return on investment than Samyung Trading. However, Eugene Technology is 4.48 times more volatile than Samyung Trading Co. It trades about 0.22 of its potential returns per unit of risk. Samyung Trading Co is currently generating about 0.2 per unit of risk. If you would invest 3,085,000 in Eugene Technology CoLtd on December 25, 2024 and sell it today you would earn a total of 1,305,000 from holding Eugene Technology CoLtd or generate 42.3% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Eugene Technology CoLtd vs. Samyung Trading Co
Performance |
Timeline |
Eugene Technology CoLtd |
Samyung Trading |
Eugene Technology and Samyung Trading Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Eugene Technology and Samyung Trading
The main advantage of trading using opposite Eugene Technology and Samyung Trading positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Eugene Technology position performs unexpectedly, Samyung Trading 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 Samyung Trading will offset losses from the drop in Samyung Trading's long position.Eugene Technology vs. Mobile Appliance | Eugene Technology vs. Ajusteel Co | Eugene Technology vs. Korea Information Communications | Eugene Technology vs. Keum Kang Steel |
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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 Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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