Correlation Between Samsung Electronics and Kbi Metal
Can any of the company-specific risk be diversified away by investing in both Samsung Electronics and Kbi Metal 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 Kbi Metal 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 Kbi Metal Co, you can compare the effects of market volatilities on Samsung Electronics and Kbi Metal 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 Kbi Metal. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Electronics and Kbi Metal.
Diversification Opportunities for Samsung Electronics and Kbi Metal
0.62 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Samsung and Kbi is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Electronics Co and Kbi Metal Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kbi Metal 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 Kbi Metal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kbi Metal has no effect on the direction of Samsung Electronics i.e., Samsung Electronics and Kbi Metal go up and down completely randomly.
Pair Corralation between Samsung Electronics and Kbi Metal
Assuming the 90 days trading horizon Samsung Electronics Co is expected to generate 0.59 times more return on investment than Kbi Metal. However, Samsung Electronics Co is 1.68 times less risky than Kbi Metal. It trades about -0.17 of its potential returns per unit of risk. Kbi Metal Co is currently generating about -0.11 per unit of risk. If you would invest 6,861,501 in Samsung Electronics Co on September 5, 2024 and sell it today you would lose (1,501,501) from holding Samsung Electronics Co or give up 21.88% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.31% |
Values | Daily Returns |
Samsung Electronics Co vs. Kbi Metal Co
Performance |
Timeline |
Samsung Electronics |
Kbi Metal |
Samsung Electronics and Kbi Metal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Electronics and Kbi Metal
The main advantage of trading using opposite Samsung Electronics and Kbi Metal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Electronics position performs unexpectedly, Kbi Metal 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 Kbi Metal will offset losses from the drop in Kbi Metal's long position.Samsung Electronics vs. GS Engineering Construction | Samsung Electronics vs. DONGKUK TED METAL | Samsung Electronics vs. Shinsegae Engineering Construction | Samsung Electronics vs. Kbi Metal 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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