Correlation Between Sungdo Engineering and GS Engineering
Can any of the company-specific risk be diversified away by investing in both Sungdo Engineering 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 Sungdo Engineering and GS Engineering into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sungdo Engineering Construction and GS Engineering Construction, you can compare the effects of market volatilities on Sungdo Engineering 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 Sungdo Engineering with a short position of GS Engineering. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sungdo Engineering and GS Engineering.
Diversification Opportunities for Sungdo Engineering and GS Engineering
0.05 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Sungdo and 006360 is 0.05. Overlapping area represents the amount of risk that can be diversified away by holding Sungdo Engineering Constructio 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 Sungdo 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 Sungdo Engineering Construction 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 Sungdo Engineering i.e., Sungdo Engineering and GS Engineering go up and down completely randomly.
Pair Corralation between Sungdo Engineering and GS Engineering
Assuming the 90 days trading horizon Sungdo Engineering Construction is expected to under-perform the GS Engineering. In addition to that, Sungdo Engineering is 1.01 times more volatile than GS Engineering Construction. It trades about -0.01 of its total potential returns per unit of risk. GS Engineering Construction is currently generating about 0.0 per unit of volatility. If you would invest 1,825,000 in GS Engineering Construction on September 22, 2024 and sell it today you would lose (45,000) from holding GS Engineering Construction or give up 2.47% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Sungdo Engineering Constructio vs. GS Engineering Construction
Performance |
Timeline |
Sungdo Engineering |
GS Engineering Const |
Sungdo Engineering and GS Engineering Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sungdo Engineering and GS Engineering
The main advantage of trading using opposite Sungdo Engineering and GS Engineering positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sungdo Engineering 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.Sungdo Engineering vs. Busan Industrial Co | Sungdo Engineering vs. Busan Ind | Sungdo Engineering vs. Mirae Asset Daewoo | Sungdo Engineering vs. Shinhan WTI Futures |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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