Correlation Between GS Engineering and Sungchang Autotech
Can any of the company-specific risk be diversified away by investing in both GS Engineering and Sungchang Autotech 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 Sungchang Autotech 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 Sungchang Autotech Co, you can compare the effects of market volatilities on GS Engineering and Sungchang Autotech 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 Sungchang Autotech. Check out your portfolio center. Please also check ongoing floating volatility patterns of GS Engineering and Sungchang Autotech.
Diversification Opportunities for GS Engineering and Sungchang Autotech
-0.23 | Correlation Coefficient |
Very good diversification
The 3 months correlation between 006360 and Sungchang is -0.23. Overlapping area represents the amount of risk that can be diversified away by holding GS Engineering Construction and Sungchang Autotech Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sungchang Autotech 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 Sungchang Autotech. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sungchang Autotech has no effect on the direction of GS Engineering i.e., GS Engineering and Sungchang Autotech go up and down completely randomly.
Pair Corralation between GS Engineering and Sungchang Autotech
Assuming the 90 days trading horizon GS Engineering Construction is expected to generate 1.03 times more return on investment than Sungchang Autotech. However, GS Engineering is 1.03 times more volatile than Sungchang Autotech Co. It trades about 0.0 of its potential returns per unit of risk. Sungchang Autotech Co is currently generating about -0.07 per unit of risk. 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 Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
GS Engineering Construction vs. Sungchang Autotech Co
Performance |
Timeline |
GS Engineering Const |
Sungchang Autotech |
GS Engineering and Sungchang Autotech Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GS Engineering and Sungchang Autotech
The main advantage of trading using opposite GS Engineering and Sungchang Autotech positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GS Engineering position performs unexpectedly, Sungchang Autotech 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 Sungchang Autotech will offset losses from the drop in Sungchang Autotech's long position.GS Engineering vs. AptaBio Therapeutics | GS Engineering vs. Wonbang Tech Co | GS Engineering vs. Busan Industrial Co | GS Engineering vs. Busan Ind |
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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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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