Correlation Between Dongbang Transport and KakaoBank Corp
Can any of the company-specific risk be diversified away by investing in both Dongbang Transport and KakaoBank Corp 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 Dongbang Transport and KakaoBank Corp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dongbang Transport Logistics and KakaoBank Corp, you can compare the effects of market volatilities on Dongbang Transport and KakaoBank Corp 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 Dongbang Transport with a short position of KakaoBank Corp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dongbang Transport and KakaoBank Corp.
Diversification Opportunities for Dongbang Transport and KakaoBank Corp
-0.23 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Dongbang and KakaoBank is -0.23. Overlapping area represents the amount of risk that can be diversified away by holding Dongbang Transport Logistics and KakaoBank Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KakaoBank Corp and Dongbang Transport 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 Dongbang Transport Logistics are associated (or correlated) with KakaoBank Corp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KakaoBank Corp has no effect on the direction of Dongbang Transport i.e., Dongbang Transport and KakaoBank Corp go up and down completely randomly.
Pair Corralation between Dongbang Transport and KakaoBank Corp
Assuming the 90 days trading horizon Dongbang Transport Logistics is expected to generate 1.92 times more return on investment than KakaoBank Corp. However, Dongbang Transport is 1.92 times more volatile than KakaoBank Corp. It trades about 0.03 of its potential returns per unit of risk. KakaoBank Corp is currently generating about -0.05 per unit of risk. If you would invest 212,500 in Dongbang Transport Logistics on October 7, 2024 and sell it today you would earn a total of 10,000 from holding Dongbang Transport Logistics or generate 4.71% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Dongbang Transport Logistics vs. KakaoBank Corp
Performance |
Timeline |
Dongbang Transport |
KakaoBank Corp |
Dongbang Transport and KakaoBank Corp Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dongbang Transport and KakaoBank Corp
The main advantage of trading using opposite Dongbang Transport and KakaoBank Corp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dongbang Transport position performs unexpectedly, KakaoBank Corp 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 KakaoBank Corp will offset losses from the drop in KakaoBank Corp's long position.Dongbang Transport vs. AptaBio Therapeutics | Dongbang Transport vs. Daewoo SBI SPAC | Dongbang Transport vs. Dream Security co | Dongbang Transport vs. Microfriend |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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