Correlation Between Doosan Heavy and Samsung Life
Can any of the company-specific risk be diversified away by investing in both Doosan Heavy 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 Doosan Heavy and Samsung Life into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Doosan Heavy Ind and Samsung Life Insurance, you can compare the effects of market volatilities on Doosan Heavy 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 Doosan Heavy with a short position of Samsung Life. Check out your portfolio center. Please also check ongoing floating volatility patterns of Doosan Heavy and Samsung Life.
Diversification Opportunities for Doosan Heavy and Samsung Life
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Doosan and Samsung is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding Doosan Heavy Ind 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 Doosan Heavy 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 Doosan Heavy Ind 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 Doosan Heavy i.e., Doosan Heavy and Samsung Life go up and down completely randomly.
Pair Corralation between Doosan Heavy and Samsung Life
Assuming the 90 days trading horizon Doosan Heavy is expected to generate 3.98 times less return on investment than Samsung Life. In addition to that, Doosan Heavy is 1.27 times more volatile than Samsung Life Insurance. It trades about 0.01 of its total potential returns per unit of risk. Samsung Life Insurance is currently generating about 0.04 per unit of volatility. If you would invest 9,320,000 in Samsung Life Insurance on September 30, 2024 and sell it today you would earn a total of 400,000 from holding Samsung Life Insurance or generate 4.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Doosan Heavy Ind vs. Samsung Life Insurance
Performance |
Timeline |
Doosan Heavy Ind |
Samsung Life Insurance |
Doosan Heavy and Samsung Life Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Doosan Heavy and Samsung Life
The main advantage of trading using opposite Doosan Heavy and Samsung Life positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Doosan Heavy 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.Doosan Heavy vs. Busan Industrial Co | Doosan Heavy vs. Busan Ind | Doosan Heavy vs. Mirae Asset Daewoo | Doosan Heavy vs. Shinhan WTI Futures |
Samsung Life vs. AptaBio Therapeutics | Samsung Life vs. Wonbang Tech Co | Samsung Life vs. Busan Industrial Co | Samsung Life vs. Busan Ind |
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 Portfolio Diagnostics module to use generated alerts and portfolio events aggregator to diagnose current holdings.
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