Correlation Between Dongbang Transport and Snet Systems
Can any of the company-specific risk be diversified away by investing in both Dongbang Transport and Snet Systems 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 Snet Systems 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 Snet systems, you can compare the effects of market volatilities on Dongbang Transport and Snet Systems 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 Snet Systems. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dongbang Transport and Snet Systems.
Diversification Opportunities for Dongbang Transport and Snet Systems
-0.17 | Correlation Coefficient |
Good diversification
The 3 months correlation between Dongbang and Snet is -0.17. Overlapping area represents the amount of risk that can be diversified away by holding Dongbang Transport Logistics and Snet systems in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Snet systems 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 Snet Systems. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Snet systems has no effect on the direction of Dongbang Transport i.e., Dongbang Transport and Snet Systems go up and down completely randomly.
Pair Corralation between Dongbang Transport and Snet Systems
Assuming the 90 days trading horizon Dongbang Transport Logistics is expected to generate 0.69 times more return on investment than Snet Systems. However, Dongbang Transport Logistics is 1.45 times less risky than Snet Systems. It trades about 0.02 of its potential returns per unit of risk. Snet systems is currently generating about 0.0 per unit of risk. If you would invest 217,000 in Dongbang Transport Logistics on December 26, 2024 and sell it today you would earn a total of 3,000 from holding Dongbang Transport Logistics or generate 1.38% 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. Snet systems
Performance |
Timeline |
Dongbang Transport |
Snet systems |
Dongbang Transport and Snet Systems Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dongbang Transport and Snet Systems
The main advantage of trading using opposite Dongbang Transport and Snet Systems positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dongbang Transport position performs unexpectedly, Snet Systems 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 Snet Systems will offset losses from the drop in Snet Systems' long position.Dongbang Transport vs. Duksan Hi Metal | Dongbang Transport vs. Daejung Chemicals Metals | Dongbang Transport vs. LG Household Healthcare | Dongbang Transport vs. Digital Power Communications |
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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 Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
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