Correlation Between KakaoBank Corp and Samsung Life
Can any of the company-specific risk be diversified away by investing in both KakaoBank Corp 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 KakaoBank Corp and Samsung Life into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between KakaoBank Corp and Samsung Life Insurance, you can compare the effects of market volatilities on KakaoBank Corp 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 KakaoBank Corp with a short position of Samsung Life. Check out your portfolio center. Please also check ongoing floating volatility patterns of KakaoBank Corp and Samsung Life.
Diversification Opportunities for KakaoBank Corp and Samsung Life
0.32 | Correlation Coefficient |
Weak diversification
The 3 months correlation between KakaoBank and Samsung is 0.32. Overlapping area represents the amount of risk that can be diversified away by holding KakaoBank Corp 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 KakaoBank Corp 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 KakaoBank Corp 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 KakaoBank Corp i.e., KakaoBank Corp and Samsung Life go up and down completely randomly.
Pair Corralation between KakaoBank Corp and Samsung Life
Assuming the 90 days trading horizon KakaoBank Corp is expected to generate 1.61 times less return on investment than Samsung Life. But when comparing it to its historical volatility, KakaoBank Corp is 1.24 times less risky than Samsung Life. It trades about 0.04 of its potential returns per unit of risk. Samsung Life Insurance is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 10,050,000 in Samsung Life Insurance on September 3, 2024 and sell it today you would earn a total of 660,000 from holding Samsung Life Insurance or generate 6.57% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
KakaoBank Corp vs. Samsung Life Insurance
Performance |
Timeline |
KakaoBank Corp |
Samsung Life Insurance |
KakaoBank Corp and Samsung Life Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with KakaoBank Corp and Samsung Life
The main advantage of trading using opposite KakaoBank Corp and Samsung Life positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KakaoBank Corp 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.KakaoBank Corp vs. Hwangkum Steel Technology | KakaoBank Corp vs. Dongil Technology | KakaoBank Corp vs. Green Cross Medical | KakaoBank Corp vs. Eagle Veterinary Technology |
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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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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