Correlation Between Daewoo SBI and Shinsegae Engineering
Can any of the company-specific risk be diversified away by investing in both Daewoo SBI and Shinsegae 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 Daewoo SBI and Shinsegae Engineering into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Daewoo SBI SPAC and Shinsegae Engineering Construction, you can compare the effects of market volatilities on Daewoo SBI and Shinsegae 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 Daewoo SBI with a short position of Shinsegae Engineering. Check out your portfolio center. Please also check ongoing floating volatility patterns of Daewoo SBI and Shinsegae Engineering.
Diversification Opportunities for Daewoo SBI and Shinsegae Engineering
-0.66 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Daewoo and Shinsegae is -0.66. Overlapping area represents the amount of risk that can be diversified away by holding Daewoo SBI SPAC and Shinsegae Engineering Construc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Shinsegae Engineering and Daewoo SBI 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 Daewoo SBI SPAC are associated (or correlated) with Shinsegae Engineering. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Shinsegae Engineering has no effect on the direction of Daewoo SBI i.e., Daewoo SBI and Shinsegae Engineering go up and down completely randomly.
Pair Corralation between Daewoo SBI and Shinsegae Engineering
Assuming the 90 days trading horizon Daewoo SBI SPAC is expected to under-perform the Shinsegae Engineering. In addition to that, Daewoo SBI is 29.63 times more volatile than Shinsegae Engineering Construction. It trades about -0.3 of its total potential returns per unit of risk. Shinsegae Engineering Construction is currently generating about -0.37 per unit of volatility. If you would invest 1,812,000 in Shinsegae Engineering Construction on September 1, 2024 and sell it today you would lose (9,000) from holding Shinsegae Engineering Construction or give up 0.5% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Daewoo SBI SPAC vs. Shinsegae Engineering Construc
Performance |
Timeline |
Daewoo SBI SPAC |
Shinsegae Engineering |
Daewoo SBI and Shinsegae Engineering Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Daewoo SBI and Shinsegae Engineering
The main advantage of trading using opposite Daewoo SBI and Shinsegae Engineering positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Daewoo SBI position performs unexpectedly, Shinsegae 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 Shinsegae Engineering will offset losses from the drop in Shinsegae Engineering's long position.Daewoo SBI vs. Choil Aluminum | Daewoo SBI vs. Cube Entertainment | Daewoo SBI vs. Kbi Metal Co | Daewoo SBI vs. Asiana Airlines |
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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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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