Correlation Between Samsung Life and Industrial Bank
Can any of the company-specific risk be diversified away by investing in both Samsung Life and Industrial Bank 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 Industrial Bank 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 Industrial Bank, you can compare the effects of market volatilities on Samsung Life and Industrial Bank 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 Industrial Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Life and Industrial Bank.
Diversification Opportunities for Samsung Life and Industrial Bank
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Samsung and Industrial is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Life Insurance and Industrial Bank in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Industrial Bank 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 Industrial Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Industrial Bank has no effect on the direction of Samsung Life i.e., Samsung Life and Industrial Bank go up and down completely randomly.
Pair Corralation between Samsung Life and Industrial Bank
Assuming the 90 days trading horizon Samsung Life Insurance is expected to under-perform the Industrial Bank. In addition to that, Samsung Life is 2.34 times more volatile than Industrial Bank. It trades about -0.16 of its total potential returns per unit of risk. Industrial Bank is currently generating about -0.05 per unit of volatility. If you would invest 1,468,000 in Industrial Bank on October 12, 2024 and sell it today you would lose (16,000) from holding Industrial Bank or give up 1.09% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Samsung Life Insurance vs. Industrial Bank
Performance |
Timeline |
Samsung Life Insurance |
Industrial Bank |
Samsung Life and Industrial Bank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Life and Industrial Bank
The main advantage of trading using opposite Samsung Life and Industrial Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Life position performs unexpectedly, Industrial Bank 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 Industrial Bank will offset losses from the drop in Industrial Bank's long position.Samsung Life vs. Sangsin Energy Display | Samsung Life vs. Dongbang Transport Logistics | Samsung Life vs. DONGKUK TED METAL | Samsung Life vs. Kukil Metal Co |
Industrial Bank vs. Namhae Chemical | Industrial Bank vs. Samsung Life Insurance | Industrial Bank vs. Hanil Chemical Ind | Industrial Bank vs. Korean Reinsurance 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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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