Correlation Between KB Financial and National Grid
Can any of the company-specific risk be diversified away by investing in both KB Financial and National Grid 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 National Grid 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 National Grid plc, you can compare the effects of market volatilities on KB Financial and National Grid 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 National Grid. Check out your portfolio center. Please also check ongoing floating volatility patterns of KB Financial and National Grid.
Diversification Opportunities for KB Financial and National Grid
-0.15 | Correlation Coefficient |
Good diversification
The 3 months correlation between KB Financial and National is -0.15. Overlapping area represents the amount of risk that can be diversified away by holding KB Financial Group and National Grid plc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on National Grid plc 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 National Grid. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of National Grid plc has no effect on the direction of KB Financial i.e., KB Financial and National Grid go up and down completely randomly.
Pair Corralation between KB Financial and National Grid
Allowing for the 90-day total investment horizon KB Financial Group is expected to under-perform the National Grid. But the stock apears to be less risky and, when comparing its historical volatility, KB Financial Group is 1.36 times less risky than National Grid. The stock trades about -0.12 of its potential returns per unit of risk. The National Grid plc is currently generating about -0.02 of returns per unit of risk over similar time horizon. If you would invest 1,226 in National Grid plc on September 13, 2024 and sell it today you would lose (37.00) from holding National Grid plc or give up 3.02% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
KB Financial Group vs. National Grid plc
Performance |
Timeline |
KB Financial Group |
National Grid plc |
KB Financial and National Grid Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with KB Financial and National Grid
The main advantage of trading using opposite KB Financial and National Grid positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KB Financial position performs unexpectedly, National Grid 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 National Grid will offset losses from the drop in National Grid'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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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