Correlation Between Samsung Life and Dongnam Chemical
Can any of the company-specific risk be diversified away by investing in both Samsung Life and Dongnam Chemical 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 Life and Dongnam Chemical into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Samsung Life Insurance and Dongnam Chemical Co, you can compare the effects of market volatilities on Samsung Life and Dongnam Chemical 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 Life with a short position of Dongnam Chemical. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Life and Dongnam Chemical.
Diversification Opportunities for Samsung Life and Dongnam Chemical
-0.65 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Samsung and Dongnam is -0.65. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Life Insurance and Dongnam Chemical Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dongnam Chemical and Samsung Life 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 Life Insurance are associated (or correlated) with Dongnam Chemical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dongnam Chemical has no effect on the direction of Samsung Life i.e., Samsung Life and Dongnam Chemical go up and down completely randomly.
Pair Corralation between Samsung Life and Dongnam Chemical
Assuming the 90 days trading horizon Samsung Life Insurance is expected to under-perform the Dongnam Chemical. In addition to that, Samsung Life is 1.32 times more volatile than Dongnam Chemical Co. It trades about -0.1 of its total potential returns per unit of risk. Dongnam Chemical Co is currently generating about 0.09 per unit of volatility. If you would invest 3,055,000 in Dongnam Chemical Co on September 22, 2024 and sell it today you would earn a total of 100,000 from holding Dongnam Chemical Co or generate 3.27% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Samsung Life Insurance vs. Dongnam Chemical Co
Performance |
Timeline |
Samsung Life Insurance |
Dongnam Chemical |
Samsung Life and Dongnam Chemical Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Life and Dongnam Chemical
The main advantage of trading using opposite Samsung Life and Dongnam Chemical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Life position performs unexpectedly, Dongnam Chemical 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 Dongnam Chemical will offset losses from the drop in Dongnam Chemical's long position.Samsung Life vs. AptaBio Therapeutics | Samsung Life vs. Wonbang Tech Co | Samsung Life vs. Busan Industrial Co | Samsung Life vs. Busan Ind |
Dongnam Chemical vs. AptaBio Therapeutics | Dongnam Chemical vs. Wonbang Tech Co | Dongnam Chemical vs. Busan Industrial Co | Dongnam Chemical vs. Busan Ind |
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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