Correlation Between SCI Information and GS Engineering
Can any of the company-specific risk be diversified away by investing in both SCI Information and GS Engineering 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 SCI Information and GS Engineering into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SCI Information Service and GS Engineering Construction, you can compare the effects of market volatilities on SCI Information and GS Engineering 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 SCI Information with a short position of GS Engineering. Check out your portfolio center. Please also check ongoing floating volatility patterns of SCI Information and GS Engineering.
Diversification Opportunities for SCI Information and GS Engineering
-0.23 | Correlation Coefficient |
Very good diversification
The 3 months correlation between SCI and 006360 is -0.23. Overlapping area represents the amount of risk that can be diversified away by holding SCI Information Service and GS Engineering Construction in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GS Engineering Const and SCI Information 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 SCI Information Service are associated (or correlated) with GS Engineering. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GS Engineering Const has no effect on the direction of SCI Information i.e., SCI Information and GS Engineering go up and down completely randomly.
Pair Corralation between SCI Information and GS Engineering
Assuming the 90 days trading horizon SCI Information Service is expected to under-perform the GS Engineering. But the stock apears to be less risky and, when comparing its historical volatility, SCI Information Service is 1.69 times less risky than GS Engineering. The stock trades about -0.23 of its potential returns per unit of risk. The GS Engineering Construction is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 1,707,270 in GS Engineering Construction on December 30, 2024 and sell it today you would earn a total of 4,730 from holding GS Engineering Construction or generate 0.28% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
SCI Information Service vs. GS Engineering Construction
Performance |
Timeline |
SCI Information Service |
GS Engineering Const |
SCI Information and GS Engineering Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SCI Information and GS Engineering
The main advantage of trading using opposite SCI Information and GS Engineering positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SCI Information position performs unexpectedly, GS Engineering 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 GS Engineering will offset losses from the drop in GS Engineering's long position.SCI Information vs. Dongil Metal Co | SCI Information vs. Hwangkum Steel Technology | SCI Information vs. Young Heung Iron | SCI Information vs. Kbi Metal Co |
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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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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