Correlation Between Dongbang Transport and Incar Financial
Can any of the company-specific risk be diversified away by investing in both Dongbang Transport and Incar Financial 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 Incar Financial 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 Incar Financial Service, you can compare the effects of market volatilities on Dongbang Transport and Incar Financial 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 Incar Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dongbang Transport and Incar Financial.
Diversification Opportunities for Dongbang Transport and Incar Financial
-0.35 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Dongbang and Incar is -0.35. Overlapping area represents the amount of risk that can be diversified away by holding Dongbang Transport Logistics and Incar Financial Service in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Incar Financial Service 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 Incar Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Incar Financial Service has no effect on the direction of Dongbang Transport i.e., Dongbang Transport and Incar Financial go up and down completely randomly.
Pair Corralation between Dongbang Transport and Incar Financial
Assuming the 90 days trading horizon Dongbang Transport is expected to generate 2.08 times less return on investment than Incar Financial. But when comparing it to its historical volatility, Dongbang Transport Logistics is 2.0 times less risky than Incar Financial. It trades about 0.17 of its potential returns per unit of risk. Incar Financial Service is currently generating about 0.18 of returns per unit of risk over similar time horizon. If you would invest 551,000 in Incar Financial Service on October 26, 2024 and sell it today you would earn a total of 47,000 from holding Incar Financial Service or generate 8.53% 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. Incar Financial Service
Performance |
Timeline |
Dongbang Transport |
Incar Financial Service |
Dongbang Transport and Incar Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dongbang Transport and Incar Financial
The main advantage of trading using opposite Dongbang Transport and Incar Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dongbang Transport position performs unexpectedly, Incar Financial 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 Incar Financial will offset losses from the drop in Incar Financial's long position.Dongbang Transport vs. KB Financial Group | Dongbang Transport vs. Shinhan Financial Group | Dongbang Transport vs. Hana Financial | Dongbang Transport 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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