Correlation Between Samsung Electronics and Daelim Trading
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and Daelim 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 Samsung Electronics and Daelim Trading 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 Daelim Trading Co, you can compare the effects of market volatilities on Samsung Electronics and Daelim 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 Samsung Electronics with a short position of Daelim Trading. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and Daelim Trading.
Diversification Opportunities for Samsung Electronics and Daelim Trading
-0.58 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Samsung and Daelim is -0.58. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and Daelim Trading Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Daelim Trading 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 Daelim Trading. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Daelim Trading has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and Daelim Trading go up and down completely randomly.
Pair Corralation between Samsung Electronics and Daelim Trading
Assuming the 90 days trading horizon Samsung Electronics Co is expected to generate 0.75 times more return on investment than Daelim Trading. However, Samsung Electronics Co is 1.34 times less risky than Daelim Trading. It trades about 0.03 of its potential returns per unit of risk. Daelim Trading Co is currently generating about -0.09 per unit of risk. If you would invest 5,323,700 in Samsung Electronics Co on December 2, 2024 and sell it today you would earn a total of 126,300 from holding Samsung Electronics Co or generate 2.37% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Samsung Electronics Co vs. Daelim Trading Co
Performance |
Timeline |
Samsung Electronics |
Daelim Trading |
Samsung Electronics and Daelim Trading Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and Daelim Trading
The main advantage of trading using opposite Samsung Electronics and Daelim Trading positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, Daelim 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 Daelim Trading will offset losses from the drop in Daelim Trading's long position.Samsung Electronics vs. Seers Technology | Samsung Electronics vs. Taegu Broadcasting | Samsung Electronics vs. Hanjin Transportation Co | Samsung Electronics vs. NewFlex Technology 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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