Correlation Between KB Financial and YG Entertainment
Can any of the company-specific risk be diversified away by investing in both KB Financial and YG Entertainment 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 YG Entertainment 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 YG Entertainment, you can compare the effects of market volatilities on KB Financial and YG Entertainment 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 YG Entertainment. Check out your portfolio center. Please also check ongoing floating volatility patterns of KB Financial and YG Entertainment.
Diversification Opportunities for KB Financial and YG Entertainment
-0.19 | Correlation Coefficient |
Good diversification
The 3 months correlation between 105560 and 122870 is -0.19. Overlapping area represents the amount of risk that can be diversified away by holding KB Financial Group and YG Entertainment in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on YG Entertainment 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 YG Entertainment. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of YG Entertainment has no effect on the direction of KB Financial i.e., KB Financial and YG Entertainment go up and down completely randomly.
Pair Corralation between KB Financial and YG Entertainment
Assuming the 90 days trading horizon KB Financial Group is expected to under-perform the YG Entertainment. But the stock apears to be less risky and, when comparing its historical volatility, KB Financial Group is 1.08 times less risky than YG Entertainment. The stock trades about -0.05 of its potential returns per unit of risk. The YG Entertainment is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 3,830,000 in YG Entertainment on October 14, 2024 and sell it today you would earn a total of 795,000 from holding YG Entertainment or generate 20.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
KB Financial Group vs. YG Entertainment
Performance |
Timeline |
KB Financial Group |
YG Entertainment |
KB Financial and YG Entertainment Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with KB Financial and YG Entertainment
The main advantage of trading using opposite KB Financial and YG Entertainment positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KB Financial position performs unexpectedly, YG Entertainment 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 YG Entertainment will offset losses from the drop in YG Entertainment's long position.KB Financial vs. Koryo Credit Information | KB Financial vs. FOODWELL Co | KB Financial vs. System and Application | KB Financial vs. Haitai Confectionery Foods |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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