Correlation Between KB Financial and Southern Missouri
Can any of the company-specific risk be diversified away by investing in both KB Financial and Southern Missouri 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 KB Financial and Southern Missouri into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between KB Financial Group and Southern Missouri Bancorp, you can compare the effects of market volatilities on KB Financial and Southern Missouri 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 KB Financial with a short position of Southern Missouri. Check out your portfolio center. Please also check ongoing floating volatility patterns of KB Financial and Southern Missouri.
Diversification Opportunities for KB Financial and Southern Missouri
0.39 | Correlation Coefficient |
Weak diversification
The 3 months correlation between KB Financial and Southern is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding KB Financial Group and Southern Missouri Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Southern Missouri Bancorp and KB 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 KB Financial Group are associated (or correlated) with Southern Missouri. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Southern Missouri Bancorp has no effect on the direction of KB Financial i.e., KB Financial and Southern Missouri go up and down completely randomly.
Pair Corralation between KB Financial and Southern Missouri
Allowing for the 90-day total investment horizon KB Financial Group is expected to generate 0.88 times more return on investment than Southern Missouri. However, KB Financial Group is 1.13 times less risky than Southern Missouri. It trades about -0.06 of its potential returns per unit of risk. Southern Missouri Bancorp is currently generating about -0.09 per unit of risk. If you would invest 5,700 in KB Financial Group on December 30, 2024 and sell it today you would lose (364.00) from holding KB Financial Group or give up 6.39% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
KB Financial Group vs. Southern Missouri Bancorp
Performance |
Timeline |
KB Financial Group |
Southern Missouri Bancorp |
KB Financial and Southern Missouri Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with KB Financial and Southern Missouri
The main advantage of trading using opposite KB Financial and Southern Missouri positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KB Financial position performs unexpectedly, Southern Missouri 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 Southern Missouri will offset losses from the drop in Southern Missouri's long position.KB Financial vs. Shinhan Financial Group | KB Financial vs. Woori Financial Group | KB Financial vs. Korea Electric Power | KB Financial vs. Orix Corp Ads |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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