Correlation Between Air Transport and MC Mining
Can any of the company-specific risk be diversified away by investing in both Air Transport and MC Mining 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 Air Transport and MC Mining into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Air Transport Services and MC Mining, you can compare the effects of market volatilities on Air Transport and MC Mining 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 Air Transport with a short position of MC Mining. Check out your portfolio center. Please also check ongoing floating volatility patterns of Air Transport and MC Mining.
Diversification Opportunities for Air Transport and MC Mining
-0.08 | Correlation Coefficient |
Good diversification
The 3 months correlation between Air and G1V is -0.08. Overlapping area represents the amount of risk that can be diversified away by holding Air Transport Services and MC Mining in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MC Mining and Air 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 Air Transport Services are associated (or correlated) with MC Mining. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MC Mining has no effect on the direction of Air Transport i.e., Air Transport and MC Mining go up and down completely randomly.
Pair Corralation between Air Transport and MC Mining
Assuming the 90 days horizon Air Transport is expected to generate 68.58 times less return on investment than MC Mining. But when comparing it to its historical volatility, Air Transport Services is 53.06 times less risky than MC Mining. It trades about 0.13 of its potential returns per unit of risk. MC Mining is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 0.05 in MC Mining on September 29, 2024 and sell it today you would earn a total of 0.10 from holding MC Mining or generate 200.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Air Transport Services vs. MC Mining
Performance |
Timeline |
Air Transport Services |
MC Mining |
Air Transport and MC Mining Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Air Transport and MC Mining
The main advantage of trading using opposite Air Transport and MC Mining positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Air Transport position performs unexpectedly, MC Mining 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 MC Mining will offset losses from the drop in MC Mining's long position.Air Transport vs. Airports of Thailand | Air Transport vs. Aena SME SA | Air Transport vs. AENA SME UNSPADR110 | Air Transport vs. AerCap Holdings NV |
MC Mining vs. CHINA SHENHUA ENA | MC Mining vs. Yancoal Australia | MC Mining vs. Banpu PCL | MC Mining vs. CONSOL Energy |
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 Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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