Correlation Between DB Financial and Samsung Life
Can any of the company-specific risk be diversified away by investing in both DB Financial 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 DB Financial and Samsung Life into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between DB Financial Investment and Samsung Life, you can compare the effects of market volatilities on DB Financial 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 DB Financial with a short position of Samsung Life. Check out your portfolio center. Please also check ongoing floating volatility patterns of DB Financial and Samsung Life.
Diversification Opportunities for DB Financial and Samsung Life
-0.2 | Correlation Coefficient |
Good diversification
The 3 months correlation between 016610 and Samsung is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding DB Financial Investment and Samsung Life in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samsung Life and DB Financial 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 DB Financial Investment 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 has no effect on the direction of DB Financial i.e., DB Financial and Samsung Life go up and down completely randomly.
Pair Corralation between DB Financial and Samsung Life
Assuming the 90 days trading horizon DB Financial is expected to generate 1.13 times less return on investment than Samsung Life. In addition to that, DB Financial is 1.44 times more volatile than Samsung Life. It trades about 0.03 of its total potential returns per unit of risk. Samsung Life is currently generating about 0.06 per unit of volatility. If you would invest 10,050,000 in Samsung Life on September 3, 2024 and sell it today you would earn a total of 660,000 from holding Samsung Life or generate 6.57% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
DB Financial Investment vs. Samsung Life
Performance |
Timeline |
DB Financial Investment |
Samsung Life |
DB Financial and Samsung Life Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with DB Financial and Samsung Life
The main advantage of trading using opposite DB Financial and Samsung Life positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if DB Financial 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.DB Financial vs. CU Medical Systems | DB Financial vs. Neungyule Education | DB Financial vs. Samsung Publishing Co | DB Financial vs. Dongbang Transport Logistics |
Samsung Life vs. Dongil Metal Co | Samsung Life vs. Tuksu Engineering ConstructionLtd | Samsung Life vs. Daiyang Metal Co | Samsung Life vs. Seohee Construction Co |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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