Correlation Between Samsung Life and Korea Electric
Can any of the company-specific risk be diversified away by investing in both Samsung Life and Korea Electric 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 Korea Electric 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 Korea Electric Power, you can compare the effects of market volatilities on Samsung Life and Korea Electric 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 Korea Electric. Check out your portfolio center. Please also check ongoing floating volatility patterns of Samsung Life and Korea Electric.
Diversification Opportunities for Samsung Life and Korea Electric
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Samsung and Korea is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Samsung Life Insurance and Korea Electric Power in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Korea Electric Power 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 Korea Electric. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Korea Electric Power has no effect on the direction of Samsung Life i.e., Samsung Life and Korea Electric go up and down completely randomly.
Pair Corralation between Samsung Life and Korea Electric
Assuming the 90 days trading horizon Samsung Life Insurance is expected to generate 1.3 times more return on investment than Korea Electric. However, Samsung Life is 1.3 times more volatile than Korea Electric Power. It trades about -0.08 of its potential returns per unit of risk. Korea Electric Power is currently generating about -0.14 per unit of risk. If you would invest 10,490,000 in Samsung Life Insurance on October 7, 2024 and sell it today you would lose (1,170,000) from holding Samsung Life Insurance or give up 11.15% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Samsung Life Insurance vs. Korea Electric Power
Performance |
Timeline |
Samsung Life Insurance |
Korea Electric Power |
Samsung Life and Korea Electric Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Samsung Life and Korea Electric
The main advantage of trading using opposite Samsung Life and Korea Electric positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Samsung Life position performs unexpectedly, Korea Electric 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 Korea Electric will offset losses from the drop in Korea Electric's long position.Samsung Life vs. Wonbang Tech Co | Samsung Life vs. Daiyang Metal Co | Samsung Life vs. Solution Advanced Technology | Samsung Life vs. Busan Industrial Co |
Korea Electric vs. Yura Tech Co | Korea Electric vs. Jin Air Co | Korea Electric vs. Sewoon Medical Co | Korea Electric vs. PNC Technologies 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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
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