Correlation Between Dongbang Transport and Samsung Life
Can any of the company-specific risk be diversified away by investing in both Dongbang Transport and Samsung Life 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 Dongbang Transport and Samsung Life into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dongbang Transport Logistics and Samsung Life Insurance, you can compare the effects of market volatilities on Dongbang Transport and Samsung Life 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 Dongbang Transport with a short position of Samsung Life. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dongbang Transport and Samsung Life.
Diversification Opportunities for Dongbang Transport and Samsung Life
0.04 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Dongbang and Samsung is 0.04. Overlapping area represents the amount of risk that can be diversified away by holding Dongbang Transport Logistics and Samsung Life Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samsung Life Insurance and Dongbang Transport 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 Dongbang Transport Logistics are associated (or correlated) with Samsung Life. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samsung Life Insurance has no effect on the direction of Dongbang Transport i.e., Dongbang Transport and Samsung Life go up and down completely randomly.
Pair Corralation between Dongbang Transport and Samsung Life
Assuming the 90 days trading horizon Dongbang Transport Logistics is expected to generate 0.94 times more return on investment than Samsung Life. However, Dongbang Transport Logistics is 1.07 times less risky than Samsung Life. It trades about 0.01 of its potential returns per unit of risk. Samsung Life Insurance is currently generating about -0.06 per unit of risk. If you would invest 227,500 in Dongbang Transport Logistics on November 29, 2024 and sell it today you would lose (500.00) from holding Dongbang Transport Logistics or give up 0.22% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Dongbang Transport Logistics vs. Samsung Life Insurance
Performance |
Timeline |
Dongbang Transport |
Samsung Life Insurance |
Dongbang Transport and Samsung Life Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dongbang Transport and Samsung Life
The main advantage of trading using opposite Dongbang Transport and Samsung Life positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dongbang Transport position performs unexpectedly, Samsung Life 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 Samsung Life will offset losses from the drop in Samsung Life's long position.Dongbang Transport vs. E Investment Development | Dongbang Transport vs. Korea Petro Chemical | Dongbang Transport vs. SK Chemicals Co | Dongbang Transport vs. Youngbo Chemical Co |
Samsung Life vs. LG Display Co | Samsung Life vs. Hyundai BNG Steel | Samsung Life vs. Vitzro Tech Co | Samsung Life vs. MS Autotech CoLtd |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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