Correlation Between Samsung Biologics and LG Chemicals
Can any of the company-specific risk be diversified away by investing in both Samsung Biologics and LG Chemicals 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 Biologics and LG Chemicals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Samsung Biologics Co and LG Chemicals, you can compare the effects of market volatilities on Samsung Biologics and LG Chemicals 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 Biologics with a short position of LG Chemicals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Biologics and LG Chemicals.
Diversification Opportunities for Samsung Biologics and LG Chemicals
0.59 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Samsung and 051910 is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Biologics Co and LG Chemicals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LG Chemicals and Samsung Biologics 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 Biologics Co are associated (or correlated) with LG Chemicals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LG Chemicals has no effect on the direction of Samsung Biologics i.e., Samsung Biologics and LG Chemicals go up and down completely randomly.
Pair Corralation between Samsung Biologics and LG Chemicals
Assuming the 90 days trading horizon Samsung Biologics Co is expected to generate 0.5 times more return on investment than LG Chemicals. However, Samsung Biologics Co is 1.98 times less risky than LG Chemicals. It trades about -0.03 of its potential returns per unit of risk. LG Chemicals is currently generating about -0.03 per unit of risk. If you would invest 98,000,000 in Samsung Biologics Co on August 30, 2024 and sell it today you would lose (2,700,000) from holding Samsung Biologics Co or give up 2.76% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.31% |
Values | Daily Returns |
Samsung Biologics Co vs. LG Chemicals
Performance |
Timeline |
Samsung Biologics |
LG Chemicals |
Samsung Biologics and LG Chemicals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Biologics and LG Chemicals
The main advantage of trading using opposite Samsung Biologics and LG Chemicals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Biologics position performs unexpectedly, LG Chemicals 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 LG Chemicals will offset losses from the drop in LG Chemicals' long position.Samsung Biologics vs. SK Chemicals Co | Samsung Biologics vs. Hyundai Engineering Plastics | Samsung Biologics vs. Automobile Pc | Samsung Biologics vs. Daou Data Corp |
LG Chemicals vs. Woori Technology | LG Chemicals vs. Lion Chemtech Co | LG Chemicals vs. Sungchang Autotech Co | LG Chemicals vs. POSCO M TECH Co |
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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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