Correlation Between KG Eco and Dongsin Engineering
Can any of the company-specific risk be diversified away by investing in both KG Eco 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 KG Eco and Dongsin Engineering into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between KG Eco Technology and Dongsin Engineering Construction, you can compare the effects of market volatilities on KG Eco 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 KG Eco with a short position of Dongsin Engineering. Check out your portfolio center. Please also check ongoing floating volatility patterns of KG Eco and Dongsin Engineering.
Diversification Opportunities for KG Eco and Dongsin Engineering
-0.53 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between 151860 and Dongsin is -0.53. Overlapping area represents the amount of risk that can be diversified away by holding KG Eco Technology and Dongsin Engineering Constructi in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dongsin Engineering and KG Eco 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 KG Eco Technology 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 KG Eco i.e., KG Eco and Dongsin Engineering go up and down completely randomly.
Pair Corralation between KG Eco and Dongsin Engineering
Assuming the 90 days trading horizon KG Eco Technology is expected to under-perform the Dongsin Engineering. But the stock apears to be less risky and, when comparing its historical volatility, KG Eco Technology is 3.57 times less risky than Dongsin Engineering. The stock trades about 0.0 of its potential returns per unit of risk. The Dongsin Engineering Construction is currently generating about 0.23 of returns per unit of risk over similar time horizon. If you would invest 2,277,139 in Dongsin Engineering Construction on October 7, 2024 and sell it today you would earn a total of 3,142,861 from holding Dongsin Engineering Construction or generate 138.02% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 97.56% |
Values | Daily Returns |
KG Eco Technology vs. Dongsin Engineering Constructi
Performance |
Timeline |
KG Eco Technology |
Dongsin Engineering |
KG Eco and Dongsin Engineering Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with KG Eco and Dongsin Engineering
The main advantage of trading using opposite KG Eco and Dongsin Engineering positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KG Eco 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.KG Eco vs. AptaBio Therapeutics | KG Eco vs. KT Hitel | KG Eco vs. Samsung Card Co | KG Eco vs. Woori Technology Investment |
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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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