Correlation Between KB Financial and GROUNDS REST
Can any of the company-specific risk be diversified away by investing in both KB Financial and GROUNDS REST 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 GROUNDS REST 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 GROUNDS REST NA, you can compare the effects of market volatilities on KB Financial and GROUNDS REST 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 GROUNDS REST. Check out your portfolio center. Please also check ongoing floating volatility patterns of KB Financial and GROUNDS REST.
Diversification Opportunities for KB Financial and GROUNDS REST
-0.48 | Correlation Coefficient |
Very good diversification
The 3 months correlation between KBIA and GROUNDS is -0.48. Overlapping area represents the amount of risk that can be diversified away by holding KB Financial Group and GROUNDS REST NA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GROUNDS REST NA 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 GROUNDS REST. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GROUNDS REST NA has no effect on the direction of KB Financial i.e., KB Financial and GROUNDS REST go up and down completely randomly.
Pair Corralation between KB Financial and GROUNDS REST
Assuming the 90 days trading horizon KB Financial is expected to generate 4.47 times less return on investment than GROUNDS REST. But when comparing it to its historical volatility, KB Financial Group is 1.97 times less risky than GROUNDS REST. It trades about 0.02 of its potential returns per unit of risk. GROUNDS REST NA is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 49.00 in GROUNDS REST NA on September 28, 2024 and sell it today you would earn a total of 3.00 from holding GROUNDS REST NA or generate 6.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
KB Financial Group vs. GROUNDS REST NA
Performance |
Timeline |
KB Financial Group |
GROUNDS REST NA |
KB Financial and GROUNDS REST Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with KB Financial and GROUNDS REST
The main advantage of trading using opposite KB Financial and GROUNDS REST positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KB Financial position performs unexpectedly, GROUNDS REST 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 GROUNDS REST will offset losses from the drop in GROUNDS REST's long position.KB Financial vs. China Merchants Bank | KB Financial vs. ICICI Bank Limited | KB Financial vs. PT Bank Central | KB Financial vs. DBS Group Holdings |
GROUNDS REST vs. COSTAR GROUP INC | GROUNDS REST vs. VONOVIA SE ADR | GROUNDS REST vs. Vonovia SE | GROUNDS REST vs. Henderson Land Development |
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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