Correlation Between KB Financial and Dgb Financial
Can any of the company-specific risk be diversified away by investing in both KB Financial and Dgb 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 KB Financial and Dgb Financial 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 Dgb Financial, you can compare the effects of market volatilities on KB Financial and Dgb 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 KB Financial with a short position of Dgb Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of KB Financial and Dgb Financial.
Diversification Opportunities for KB Financial and Dgb Financial
0.26 | Correlation Coefficient |
Modest diversification
The 3 months correlation between 105560 and Dgb is 0.26. Overlapping area represents the amount of risk that can be diversified away by holding KB Financial Group and Dgb Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dgb Financial 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 Dgb Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dgb Financial has no effect on the direction of KB Financial i.e., KB Financial and Dgb Financial go up and down completely randomly.
Pair Corralation between KB Financial and Dgb Financial
Assuming the 90 days trading horizon KB Financial Group is expected to generate 2.21 times more return on investment than Dgb Financial. However, KB Financial is 2.21 times more volatile than Dgb Financial. It trades about 0.04 of its potential returns per unit of risk. Dgb Financial is currently generating about 0.07 per unit of risk. If you would invest 8,169,227 in KB Financial Group on September 16, 2024 and sell it today you would earn a total of 330,773 from holding KB Financial Group or generate 4.05% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
KB Financial Group vs. Dgb Financial
Performance |
Timeline |
KB Financial Group |
Dgb Financial |
KB Financial and Dgb Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with KB Financial and Dgb Financial
The main advantage of trading using opposite KB Financial and Dgb Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KB Financial position performs unexpectedly, Dgb 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 Dgb Financial will offset losses from the drop in Dgb Financial's long position.KB Financial vs. Iljin Materials Co | KB Financial vs. Daejoo Electronic Materials | KB Financial vs. PI Advanced Materials | KB Financial vs. Pyung Hwa Industrial |
Dgb Financial vs. KB Financial Group | Dgb Financial vs. Shinhan Financial Group | Dgb Financial vs. Hana Financial | Dgb Financial vs. Woori Financial Group |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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