Correlation Between SS TECH and Dongsin Engineering
Can any of the company-specific risk be diversified away by investing in both SS TECH and Dongsin 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 SS TECH and Dongsin Engineering into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SS TECH and Dongsin Engineering Construction, you can compare the effects of market volatilities on SS TECH and Dongsin 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 SS TECH with a short position of Dongsin Engineering. Check out your portfolio center. Please also check ongoing floating volatility patterns of SS TECH and Dongsin Engineering.
Diversification Opportunities for SS TECH and Dongsin Engineering
-0.09 | Correlation Coefficient |
Good diversification
The 3 months correlation between 101490 and Dongsin is -0.09. Overlapping area represents the amount of risk that can be diversified away by holding SS TECH and Dongsin Engineering Constructi in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dongsin Engineering and SS TECH 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 SS TECH are associated (or correlated) with Dongsin Engineering. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dongsin Engineering has no effect on the direction of SS TECH i.e., SS TECH and Dongsin Engineering go up and down completely randomly.
Pair Corralation between SS TECH and Dongsin Engineering
Assuming the 90 days trading horizon SS TECH is expected to under-perform the Dongsin Engineering. But the stock apears to be less risky and, when comparing its historical volatility, SS TECH is 1.74 times less risky than Dongsin Engineering. The stock trades about -0.06 of its potential returns per unit of risk. The Dongsin Engineering Construction is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 1,232,141 in Dongsin Engineering Construction on August 31, 2024 and sell it today you would earn a total of 689,859 from holding Dongsin Engineering Construction or generate 55.99% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
SS TECH vs. Dongsin Engineering Constructi
Performance |
| Timeline |
| SS TECH |
| Dongsin Engineering |
SS TECH and Dongsin Engineering Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with SS TECH and Dongsin Engineering
The main advantage of trading using opposite SS TECH and Dongsin Engineering positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SS TECH position performs unexpectedly, Dongsin 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 Dongsin Engineering will offset losses from the drop in Dongsin Engineering's long position.| SS TECH vs. Dongsin Engineering Construction | SS TECH vs. Doosan Fuel Cell | SS TECH vs. Daishin Balance 1 | SS TECH vs. Total Soft Bank |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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