Correlation Between Samsung Electronics and China Minsh
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and China Minsh 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 China Minsh 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 China Minsh, you can compare the effects of market volatilities on Samsung Electronics and China Minsh 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 China Minsh. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and China Minsh.
Diversification Opportunities for Samsung Electronics and China Minsh
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Samsung and China is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and China Minsh in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on China Minsh 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 China Minsh. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of China Minsh has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and China Minsh go up and down completely randomly.
Pair Corralation between Samsung Electronics and China Minsh
Assuming the 90 days horizon Samsung Electronics is expected to generate 54.5 times less return on investment than China Minsh. But when comparing it to its historical volatility, Samsung Electronics Co is 119.57 times less risky than China Minsh. It trades about 0.09 of its potential returns per unit of risk. China Minsh is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 334.00 in China Minsh on September 26, 2024 and sell it today you would earn a total of 64.00 from holding China Minsh or generate 19.16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 85.08% |
Values | Daily Returns |
Samsung Electronics Co vs. China Minsh
Performance |
Timeline |
Samsung Electronics |
China Minsh |
Samsung Electronics and China Minsh Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and China Minsh
The main advantage of trading using opposite Samsung Electronics and China Minsh positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, China Minsh 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 China Minsh will offset losses from the drop in China Minsh's long position.Samsung Electronics vs. Watsco Inc | Samsung Electronics vs. Fastenal Company | Samsung Electronics vs. SiteOne Landscape Supply | Samsung Electronics vs. Ferguson Plc |
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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 Earnings Calls module to check upcoming earnings announcements updated hourly across public exchanges.
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