Correlation Between KB Financial and Rheinmetall
Can any of the company-specific risk be diversified away by investing in both KB Financial and Rheinmetall 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 Rheinmetall 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 Rheinmetall AG, you can compare the effects of market volatilities on KB Financial and Rheinmetall 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 Rheinmetall. Check out your portfolio center. Please also check ongoing floating volatility patterns of KB Financial and Rheinmetall.
Diversification Opportunities for KB Financial and Rheinmetall
0.82 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between KBIA and Rheinmetall is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding KB Financial Group and Rheinmetall AG in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Rheinmetall AG 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 Rheinmetall. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Rheinmetall AG has no effect on the direction of KB Financial i.e., KB Financial and Rheinmetall go up and down completely randomly.
Pair Corralation between KB Financial and Rheinmetall
Assuming the 90 days trading horizon KB Financial is expected to generate 1.17 times less return on investment than Rheinmetall. But when comparing it to its historical volatility, KB Financial Group is 1.39 times less risky than Rheinmetall. It trades about 0.28 of its potential returns per unit of risk. Rheinmetall AG is currently generating about 0.24 of returns per unit of risk over similar time horizon. If you would invest 163,925 in Rheinmetall AG on March 5, 2025 and sell it today you would earn a total of 20,075 from holding Rheinmetall AG or generate 12.25% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
KB Financial Group vs. Rheinmetall AG
Performance |
Timeline |
KB Financial Group |
Rheinmetall AG |
KB Financial and Rheinmetall Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with KB Financial and Rheinmetall
The main advantage of trading using opposite KB Financial and Rheinmetall positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KB Financial position performs unexpectedly, Rheinmetall 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 Rheinmetall will offset losses from the drop in Rheinmetall's long position.KB Financial vs. CONTAGIOUS GAMING INC | KB Financial vs. Penta Ocean Construction Co | KB Financial vs. TROPHY GAMES DEV | KB Financial vs. GAMES OPERATORS SA |
Rheinmetall vs. Transport International Holdings | Rheinmetall vs. ANGLO ASIAN MINING | Rheinmetall vs. Calibre Mining Corp | Rheinmetall vs. CarsalesCom |
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 AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
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