Correlation Between Pimco Dynamic and KB Financial
Can any of the company-specific risk be diversified away by investing in both Pimco Dynamic 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 Pimco Dynamic and KB Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pimco Dynamic Income and KB Financial Group, you can compare the effects of market volatilities on Pimco Dynamic 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 Pimco Dynamic with a short position of KB Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pimco Dynamic and KB Financial.
Diversification Opportunities for Pimco Dynamic and KB Financial
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Pimco and KB Financial is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Pimco Dynamic Income 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 Pimco Dynamic 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 Pimco Dynamic Income 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 Pimco Dynamic i.e., Pimco Dynamic and KB Financial go up and down completely randomly.
Pair Corralation between Pimco Dynamic and KB Financial
Considering the 90-day investment horizon Pimco Dynamic is expected to generate 5.13 times less return on investment than KB Financial. But when comparing it to its historical volatility, Pimco Dynamic Income is 5.81 times less risky than KB Financial. It trades about 0.27 of its potential returns per unit of risk. KB Financial Group is currently generating about 0.24 of returns per unit of risk over similar time horizon. If you would invest 6,034 in KB Financial Group on April 27, 2025 and sell it today you would earn a total of 2,557 from holding KB Financial Group or generate 42.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Pimco Dynamic Income vs. KB Financial Group
Performance |
Timeline |
Pimco Dynamic Income |
KB Financial Group |
Pimco Dynamic and KB Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pimco Dynamic and KB Financial
The main advantage of trading using opposite Pimco Dynamic and KB Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pimco Dynamic 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.Pimco Dynamic vs. Pimco Corporate Income | Pimco Dynamic vs. Guggenheim Strategic Opportunities | Pimco Dynamic vs. Pimco Dynamic Income | Pimco Dynamic vs. Pimco High Income |
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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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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