Correlation Between Dongsin Engineering and LG Innotek
Can any of the company-specific risk be diversified away by investing in both Dongsin Engineering and LG Innotek 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 Dongsin Engineering and LG Innotek into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dongsin Engineering Construction and LG Innotek Co, you can compare the effects of market volatilities on Dongsin Engineering and LG Innotek 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 Dongsin Engineering with a short position of LG Innotek. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dongsin Engineering and LG Innotek.
Diversification Opportunities for Dongsin Engineering and LG Innotek
-0.12 | Correlation Coefficient |
Good diversification
The 3 months correlation between Dongsin and 011070 is -0.12. Overlapping area represents the amount of risk that can be diversified away by holding Dongsin Engineering Constructi and LG Innotek Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on LG Innotek and Dongsin 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 Dongsin Engineering Construction are associated (or correlated) with LG Innotek. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of LG Innotek has no effect on the direction of Dongsin Engineering i.e., Dongsin Engineering and LG Innotek go up and down completely randomly.
Pair Corralation between Dongsin Engineering and LG Innotek
Assuming the 90 days trading horizon Dongsin Engineering Construction is expected to generate 4.08 times more return on investment than LG Innotek. However, Dongsin Engineering is 4.08 times more volatile than LG Innotek Co. It trades about 0.21 of its potential returns per unit of risk. LG Innotek Co is currently generating about 0.01 per unit of risk. If you would invest 1,915,388 in Dongsin Engineering Construction on November 29, 2024 and sell it today you would earn a total of 3,009,612 from holding Dongsin Engineering Construction or generate 157.13% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.25% |
Values | Daily Returns |
Dongsin Engineering Constructi vs. LG Innotek Co
Performance |
Timeline |
Dongsin Engineering |
LG Innotek |
Dongsin Engineering and LG Innotek Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dongsin Engineering and LG Innotek
The main advantage of trading using opposite Dongsin Engineering and LG Innotek positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dongsin Engineering position performs unexpectedly, LG Innotek 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 LG Innotek will offset losses from the drop in LG Innotek's long position.Dongsin Engineering vs. Nice Information Telecommunication | Dongsin Engineering vs. Nable Communications | Dongsin Engineering vs. Display Tech Co | Dongsin Engineering vs. Pureun Mutual Savings |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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