Correlation Between Daewoo SBI and Samsung Life
Can any of the company-specific risk be diversified away by investing in both Daewoo SBI 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 Daewoo SBI and Samsung Life into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Daewoo SBI SPAC and Samsung Life Insurance, you can compare the effects of market volatilities on Daewoo SBI 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 Daewoo SBI with a short position of Samsung Life. Check out your portfolio center. Please also check ongoing floating volatility patterns of Daewoo SBI and Samsung Life.
Diversification Opportunities for Daewoo SBI and Samsung Life
-0.39 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Daewoo and Samsung is -0.39. Overlapping area represents the amount of risk that can be diversified away by holding Daewoo SBI SPAC 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 Daewoo SBI 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 Daewoo SBI SPAC 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 Daewoo SBI i.e., Daewoo SBI and Samsung Life go up and down completely randomly.
Pair Corralation between Daewoo SBI and Samsung Life
Assuming the 90 days trading horizon Daewoo SBI SPAC is expected to generate 1.15 times more return on investment than Samsung Life. However, Daewoo SBI is 1.15 times more volatile than Samsung Life Insurance. It trades about 0.06 of its potential returns per unit of risk. Samsung Life Insurance is currently generating about -0.08 per unit of risk. If you would invest 233,500 in Daewoo SBI SPAC on December 1, 2024 and sell it today you would earn a total of 19,000 from holding Daewoo SBI SPAC or generate 8.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Daewoo SBI SPAC vs. Samsung Life Insurance
Performance |
Timeline |
Daewoo SBI SPAC |
Samsung Life Insurance |
Daewoo SBI and Samsung Life Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Daewoo SBI and Samsung Life
The main advantage of trading using opposite Daewoo SBI and Samsung Life positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Daewoo SBI 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.Daewoo SBI vs. Miwon Chemicals Co | Daewoo SBI vs. Guyoung Technology Co | Daewoo SBI vs. Daejung Chemicals Metals | Daewoo SBI vs. People Technology |
Samsung Life vs. PJ Metal Co | Samsung Life vs. Haesung Industrial Co | Samsung Life vs. Hyunwoo Industrial Co | Samsung Life vs. DoubleU Games 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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