Correlation Between Sumitomo Mitsui and KB Financial
Can any of the company-specific risk be diversified away by investing in both Sumitomo Mitsui and KB Financial 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 Sumitomo Mitsui and KB Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sumitomo Mitsui Financial and KB Financial Group, you can compare the effects of market volatilities on Sumitomo Mitsui and KB Financial 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 Sumitomo Mitsui with a short position of KB Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sumitomo Mitsui and KB Financial.
Diversification Opportunities for Sumitomo Mitsui and KB Financial
0.2 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Sumitomo and K1BF34 is 0.2. Overlapping area represents the amount of risk that can be diversified away by holding Sumitomo Mitsui Financial and KB Financial Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KB Financial Group and Sumitomo Mitsui 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 Sumitomo Mitsui Financial are associated (or correlated) with KB Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KB Financial Group has no effect on the direction of Sumitomo Mitsui i.e., Sumitomo Mitsui and KB Financial go up and down completely randomly.
Pair Corralation between Sumitomo Mitsui and KB Financial
Assuming the 90 days trading horizon Sumitomo Mitsui Financial is expected to generate 0.74 times more return on investment than KB Financial. However, Sumitomo Mitsui Financial is 1.36 times less risky than KB Financial. It trades about 0.14 of its potential returns per unit of risk. KB Financial Group is currently generating about 0.09 per unit of risk. If you would invest 4,882 in Sumitomo Mitsui Financial on October 5, 2024 and sell it today you would earn a total of 4,090 from holding Sumitomo Mitsui Financial or generate 83.78% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 80.38% |
Values | Daily Returns |
Sumitomo Mitsui Financial vs. KB Financial Group
Performance |
Timeline |
Sumitomo Mitsui Financial |
KB Financial Group |
Sumitomo Mitsui and KB Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sumitomo Mitsui and KB Financial
The main advantage of trading using opposite Sumitomo Mitsui and KB Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sumitomo Mitsui position performs unexpectedly, KB Financial 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 KB Financial will offset losses from the drop in KB Financial's long position.Sumitomo Mitsui vs. Jefferies Financial Group | Sumitomo Mitsui vs. ICICI Bank Limited | Sumitomo Mitsui vs. Datadog, | Sumitomo Mitsui vs. Mitsubishi UFJ Financial |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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