Correlation Between KB Financial and Peapack Gladstone
Can any of the company-specific risk be diversified away by investing in both KB Financial and Peapack Gladstone 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 Peapack Gladstone 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 Peapack Gladstone Financial, you can compare the effects of market volatilities on KB Financial and Peapack Gladstone 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 Peapack Gladstone. Check out your portfolio center. Please also check ongoing floating volatility patterns of KB Financial and Peapack Gladstone.
Diversification Opportunities for KB Financial and Peapack Gladstone
0.61 | Correlation Coefficient |
Poor diversification
The 3 months correlation between KB Financial and Peapack is 0.61. Overlapping area represents the amount of risk that can be diversified away by holding KB Financial Group and Peapack Gladstone Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Peapack Gladstone 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 Peapack Gladstone. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Peapack Gladstone has no effect on the direction of KB Financial i.e., KB Financial and Peapack Gladstone go up and down completely randomly.
Pair Corralation between KB Financial and Peapack Gladstone
Allowing for the 90-day total investment horizon KB Financial is expected to generate 2.63 times less return on investment than Peapack Gladstone. But when comparing it to its historical volatility, KB Financial Group is 1.19 times less risky than Peapack Gladstone. It trades about 0.08 of its potential returns per unit of risk. Peapack Gladstone Financial is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 2,102 in Peapack Gladstone Financial on August 31, 2024 and sell it today you would earn a total of 1,512 from holding Peapack Gladstone Financial or generate 71.93% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
KB Financial Group vs. Peapack Gladstone Financial
Performance |
Timeline |
KB Financial Group |
Peapack Gladstone |
KB Financial and Peapack Gladstone Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with KB Financial and Peapack Gladstone
The main advantage of trading using opposite KB Financial and Peapack Gladstone positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KB Financial position performs unexpectedly, Peapack Gladstone 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 Peapack Gladstone will offset losses from the drop in Peapack Gladstone'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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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