Correlation Between KB Financial and Top Material
Can any of the company-specific risk be diversified away by investing in both KB Financial and Top Material 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 Top Material 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 Top Material Co, you can compare the effects of market volatilities on KB Financial and Top Material 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 Top Material. Check out your portfolio center. Please also check ongoing floating volatility patterns of KB Financial and Top Material.
Diversification Opportunities for KB Financial and Top Material
-0.37 | Correlation Coefficient |
Very good diversification
The 3 months correlation between 105560 and Top is -0.37. Overlapping area represents the amount of risk that can be diversified away by holding KB Financial Group and Top Material Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Top Material 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 Top Material. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Top Material has no effect on the direction of KB Financial i.e., KB Financial and Top Material go up and down completely randomly.
Pair Corralation between KB Financial and Top Material
Assuming the 90 days trading horizon KB Financial Group is expected to generate 0.97 times more return on investment than Top Material. However, KB Financial Group is 1.03 times less risky than Top Material. It trades about -0.1 of its potential returns per unit of risk. Top Material Co is currently generating about -0.16 per unit of risk. If you would invest 9,270,000 in KB Financial Group on September 13, 2024 and sell it today you would lose (730,000) from holding KB Financial Group or give up 7.87% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
KB Financial Group vs. Top Material Co
Performance |
| Timeline |
| KB Financial Group |
| Top Material |
KB Financial and Top Material Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with KB Financial and Top Material
The main advantage of trading using opposite KB Financial and Top Material positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KB Financial position performs unexpectedly, Top Material 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 Top Material will offset losses from the drop in Top Material's long position.| KB Financial vs. Shinhan Financial Group | KB Financial vs. Hana Financial | KB Financial vs. Woori Financial Group | KB Financial vs. Samsung Electronics Co |
| Top Material vs. Samsung Electronics Co | Top Material vs. Samsung Electronics Co | Top Material vs. LG Energy Solution | Top Material vs. SK Hynix |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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