Correlation Between Sam Yang and Korea Electric
Can any of the company-specific risk be diversified away by investing in both Sam Yang 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 Sam Yang and Korea Electric into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sam Yang Foods and Korea Electric Power, you can compare the effects of market volatilities on Sam Yang 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 Sam Yang with a short position of Korea Electric. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sam Yang and Korea Electric.
Diversification Opportunities for Sam Yang and Korea Electric
-0.04 | Correlation Coefficient |
Good diversification
The 3 months correlation between Sam and Korea is -0.04. Overlapping area represents the amount of risk that can be diversified away by holding Sam Yang Foods 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 Sam Yang 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 Sam Yang Foods 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 Sam Yang i.e., Sam Yang and Korea Electric go up and down completely randomly.
Pair Corralation between Sam Yang and Korea Electric
Assuming the 90 days trading horizon Sam Yang is expected to generate 1.67 times less return on investment than Korea Electric. In addition to that, Sam Yang is 1.57 times more volatile than Korea Electric Power. It trades about 0.03 of its total potential returns per unit of risk. Korea Electric Power is currently generating about 0.09 per unit of volatility. If you would invest 2,180,000 in Korea Electric Power on September 3, 2024 and sell it today you would earn a total of 210,000 from holding Korea Electric Power or generate 9.63% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Sam Yang Foods vs. Korea Electric Power
Performance |
Timeline |
Sam Yang Foods |
Korea Electric Power |
Sam Yang and Korea Electric Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sam Yang and Korea Electric
The main advantage of trading using opposite Sam Yang and Korea Electric positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sam Yang 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.Sam Yang vs. LG Display | Sam Yang vs. Hyundai Motor | Sam Yang vs. Hyundai Motor Co | Sam Yang vs. Hyundai Motor Co |
Korea Electric vs. Sam Yang Foods | Korea Electric vs. Nh Investment And | Korea Electric vs. Seoul Food Industrial | Korea Electric vs. Samyang Foods 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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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