Correlation Between Samsung Electronics and EV Advanced
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and EV 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 Samsung Electronics and EV Advanced into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Samsung Electronics Co and EV Advanced Material, you can compare the effects of market volatilities on Samsung Electronics and EV 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 Samsung Electronics with a short position of EV Advanced. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and EV Advanced.
Diversification Opportunities for Samsung Electronics and EV Advanced
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Samsung and 131400 is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and EV Advanced Material in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on EV Advanced Material and Samsung Electronics 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 Samsung Electronics Co are associated (or correlated) with EV Advanced. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of EV Advanced Material has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and EV Advanced go up and down completely randomly.
Pair Corralation between Samsung Electronics and EV Advanced
Assuming the 90 days trading horizon Samsung Electronics Co is expected to generate 0.57 times more return on investment than EV Advanced. However, Samsung Electronics Co is 1.77 times less risky than EV Advanced. It trades about -0.09 of its potential returns per unit of risk. EV Advanced Material is currently generating about -0.08 per unit of risk. If you would invest 6,404,067 in Samsung Electronics Co on September 13, 2024 and sell it today you would lose (814,067) from holding Samsung Electronics Co or give up 12.71% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Samsung Electronics Co vs. EV Advanced Material
Performance |
Timeline |
Samsung Electronics |
EV Advanced Material |
Samsung Electronics and EV Advanced Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and EV Advanced
The main advantage of trading using opposite Samsung Electronics and EV Advanced positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, EV 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 EV Advanced will offset losses from the drop in EV Advanced's long position.Samsung Electronics vs. Anam Electronics Co | Samsung Electronics vs. Daejoo Electronic Materials | Samsung Electronics vs. CG Hi Tech | Samsung Electronics vs. Samsung Electronics Co |
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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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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