Correlation Between Citizens Financial and KB Financial
Can any of the company-specific risk be diversified away by investing in both Citizens Financial 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 Citizens Financial and KB Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Citizens Financial Group, and KB Financial Group, you can compare the effects of market volatilities on Citizens Financial 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 Citizens Financial with a short position of KB Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Citizens Financial and KB Financial.
Diversification Opportunities for Citizens Financial and KB Financial
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Citizens and K1BF34 is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding Citizens Financial Group, 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 Citizens 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 Citizens Financial Group, 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 Citizens Financial i.e., Citizens Financial and KB Financial go up and down completely randomly.
Pair Corralation between Citizens Financial and KB Financial
Assuming the 90 days trading horizon Citizens Financial Group, is expected to generate 0.66 times more return on investment than KB Financial. However, Citizens Financial Group, is 1.51 times less risky than KB Financial. It trades about -0.1 of its potential returns per unit of risk. KB Financial Group is currently generating about -0.07 per unit of risk. If you would invest 26,794 in Citizens Financial Group, on December 26, 2024 and sell it today you would lose (2,394) from holding Citizens Financial Group, or give up 8.93% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Citizens Financial Group, vs. KB Financial Group
Performance |
Timeline |
Citizens Financial Group, |
KB Financial Group |
Citizens Financial and KB Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Citizens Financial and KB Financial
The main advantage of trading using opposite Citizens Financial and KB Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Citizens Financial 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.Citizens Financial vs. Tyson Foods | Citizens Financial vs. Hormel Foods | Citizens Financial vs. Spotify Technology SA | Citizens Financial vs. Nordon Indstrias Metalrgicas |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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