Correlation Between MetaLabs and Dongbang Transport
Can any of the company-specific risk be diversified away by investing in both MetaLabs and Dongbang Transport 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 MetaLabs and Dongbang Transport into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MetaLabs Co and Dongbang Transport Logistics, you can compare the effects of market volatilities on MetaLabs and Dongbang Transport 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 MetaLabs with a short position of Dongbang Transport. Check out your portfolio center. Please also check ongoing floating volatility patterns of MetaLabs and Dongbang Transport.
Diversification Opportunities for MetaLabs and Dongbang Transport
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between MetaLabs and Dongbang is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding MetaLabs Co and Dongbang Transport Logistics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dongbang Transport and MetaLabs 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 MetaLabs Co are associated (or correlated) with Dongbang Transport. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dongbang Transport has no effect on the direction of MetaLabs i.e., MetaLabs and Dongbang Transport go up and down completely randomly.
Pair Corralation between MetaLabs and Dongbang Transport
Assuming the 90 days trading horizon MetaLabs Co is expected to under-perform the Dongbang Transport. But the stock apears to be less risky and, when comparing its historical volatility, MetaLabs Co is 1.05 times less risky than Dongbang Transport. The stock trades about -0.15 of its potential returns per unit of risk. The Dongbang Transport Logistics is currently generating about -0.13 of returns per unit of risk over similar time horizon. If you would invest 277,500 in Dongbang Transport Logistics on September 20, 2024 and sell it today you would lose (58,500) from holding Dongbang Transport Logistics or give up 21.08% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
MetaLabs Co vs. Dongbang Transport Logistics
Performance |
Timeline |
MetaLabs |
Dongbang Transport |
MetaLabs and Dongbang Transport Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MetaLabs and Dongbang Transport
The main advantage of trading using opposite MetaLabs and Dongbang Transport positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MetaLabs position performs unexpectedly, Dongbang Transport 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 Dongbang Transport will offset losses from the drop in Dongbang Transport's long position.MetaLabs vs. Daou Data Corp | MetaLabs vs. Solution Advanced Technology | MetaLabs vs. Busan Industrial Co | MetaLabs vs. Busan Ind |
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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 Global Correlations module to find global opportunities by holding instruments from different markets.
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