Correlation Between KB Financial and Echomarketing CoLtd
Can any of the company-specific risk be diversified away by investing in both KB Financial and Echomarketing CoLtd 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 Echomarketing CoLtd 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 Echomarketing CoLtd, you can compare the effects of market volatilities on KB Financial and Echomarketing CoLtd 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 Echomarketing CoLtd. Check out your portfolio center. Please also check ongoing floating volatility patterns of KB Financial and Echomarketing CoLtd.
Diversification Opportunities for KB Financial and Echomarketing CoLtd
-0.21 | Correlation Coefficient |
Very good diversification
The 3 months correlation between 105560 and Echomarketing is -0.21. Overlapping area represents the amount of risk that can be diversified away by holding KB Financial Group and Echomarketing CoLtd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Echomarketing CoLtd 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 Echomarketing CoLtd. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Echomarketing CoLtd has no effect on the direction of KB Financial i.e., KB Financial and Echomarketing CoLtd go up and down completely randomly.
Pair Corralation between KB Financial and Echomarketing CoLtd
Assuming the 90 days trading horizon KB Financial Group is expected to under-perform the Echomarketing CoLtd. In addition to that, KB Financial is 1.18 times more volatile than Echomarketing CoLtd. It trades about -0.2 of its total potential returns per unit of risk. Echomarketing CoLtd is currently generating about 0.03 per unit of volatility. If you would invest 980,000 in Echomarketing CoLtd on September 29, 2024 and sell it today you would earn a total of 8,000 from holding Echomarketing CoLtd or generate 0.82% 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. Echomarketing CoLtd
Performance |
Timeline |
KB Financial Group |
Echomarketing CoLtd |
KB Financial and Echomarketing CoLtd Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with KB Financial and Echomarketing CoLtd
The main advantage of trading using opposite KB Financial and Echomarketing CoLtd positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KB Financial position performs unexpectedly, Echomarketing CoLtd 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 Echomarketing CoLtd will offset losses from the drop in Echomarketing CoLtd's long position.KB Financial vs. Hyundai Motor | KB Financial vs. Hyundai Motor Co | KB Financial vs. Hyundai Motor Co | KB Financial vs. Woori Financial Group |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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