Correlation Between KB Financial and Pyung Hwa
Can any of the company-specific risk be diversified away by investing in both KB Financial and Pyung Hwa 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 Pyung Hwa 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 Pyung Hwa Industrial, you can compare the effects of market volatilities on KB Financial and Pyung Hwa 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 Pyung Hwa. Check out your portfolio center. Please also check ongoing floating volatility patterns of KB Financial and Pyung Hwa.
Diversification Opportunities for KB Financial and Pyung Hwa
-0.46 | Correlation Coefficient |
Very good diversification
The 3 months correlation between 105560 and Pyung is -0.46. Overlapping area represents the amount of risk that can be diversified away by holding KB Financial Group and Pyung Hwa Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pyung Hwa Industrial 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 Pyung Hwa. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pyung Hwa Industrial has no effect on the direction of KB Financial i.e., KB Financial and Pyung Hwa go up and down completely randomly.
Pair Corralation between KB Financial and Pyung Hwa
Assuming the 90 days trading horizon KB Financial Group is expected to generate 1.16 times more return on investment than Pyung Hwa. However, KB Financial is 1.16 times more volatile than Pyung Hwa Industrial. It trades about 0.17 of its potential returns per unit of risk. Pyung Hwa Industrial is currently generating about -0.48 per unit of risk. If you would invest 9,070,000 in KB Financial Group on September 4, 2024 and sell it today you would earn a total of 570,000 from holding KB Financial Group or generate 6.28% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
KB Financial Group vs. Pyung Hwa Industrial
Performance |
| Timeline |
| KB Financial Group |
| Pyung Hwa Industrial |
KB Financial and Pyung Hwa Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with KB Financial and Pyung Hwa
The main advantage of trading using opposite KB Financial and Pyung Hwa positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KB Financial position performs unexpectedly, Pyung Hwa 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 Pyung Hwa will offset losses from the drop in Pyung Hwa's long position.| KB Financial vs. Dongjin Semichem Co | KB Financial vs. AhnLab Inc | KB Financial vs. Posco ICT | KB Financial vs. CJ ENM |
| Pyung Hwa vs. AptaBio Therapeutics | Pyung Hwa vs. Daewoo SBI SPAC | Pyung Hwa vs. Dream Security co | Pyung Hwa vs. Microfriend |
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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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