Correlation Between GS Engineering and Samsung Life
Can any of the company-specific risk be diversified away by investing in both GS Engineering and Samsung Life 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 GS Engineering and Samsung Life into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GS Engineering Construction and Samsung Life, you can compare the effects of market volatilities on GS Engineering and Samsung Life 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 GS Engineering with a short position of Samsung Life. Check out your portfolio center. Please also check ongoing floating volatility patterns of GS Engineering and Samsung Life.
Diversification Opportunities for GS Engineering and Samsung Life
0.16 | Correlation Coefficient |
Average diversification
The 3 months correlation between 006360 and Samsung is 0.16. Overlapping area represents the amount of risk that can be diversified away by holding GS Engineering Construction and Samsung Life in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samsung Life and GS Engineering 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 GS Engineering Construction are associated (or correlated) with Samsung Life. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samsung Life has no effect on the direction of GS Engineering i.e., GS Engineering and Samsung Life go up and down completely randomly.
Pair Corralation between GS Engineering and Samsung Life
Assuming the 90 days trading horizon GS Engineering Construction is expected to generate 0.8 times more return on investment than Samsung Life. However, GS Engineering Construction is 1.26 times less risky than Samsung Life. It trades about 0.0 of its potential returns per unit of risk. Samsung Life is currently generating about -0.07 per unit of risk. If you would invest 1,781,071 in GS Engineering Construction on December 24, 2024 and sell it today you would lose (23,071) from holding GS Engineering Construction or give up 1.3% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
GS Engineering Construction vs. Samsung Life
Performance |
Timeline |
GS Engineering Const |
Samsung Life |
GS Engineering and Samsung Life Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GS Engineering and Samsung Life
The main advantage of trading using opposite GS Engineering and Samsung Life positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GS Engineering position performs unexpectedly, Samsung Life 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 Samsung Life will offset losses from the drop in Samsung Life's long position.GS Engineering vs. Korea Information Communications | GS Engineering vs. BGF Retail Co | GS Engineering vs. Duksan Hi Metal | GS Engineering vs. Taeyang Metal Industrial |
Samsung Life vs. GS Retail Co | Samsung Life vs. YG Entertainment | Samsung Life vs. Lotte Data Communication | Samsung Life vs. Innowireless 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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