Correlation Between Mena Transport and Aikchol Hospital
Can any of the company-specific risk be diversified away by investing in both Mena Transport and Aikchol Hospital 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 Mena Transport and Aikchol Hospital into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mena Transport Public and Aikchol Hospital Public, you can compare the effects of market volatilities on Mena Transport and Aikchol Hospital 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 Mena Transport with a short position of Aikchol Hospital. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mena Transport and Aikchol Hospital.
Diversification Opportunities for Mena Transport and Aikchol Hospital
0.4 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Mena and Aikchol is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding Mena Transport Public and Aikchol Hospital Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Aikchol Hospital Public and Mena 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 Mena Transport Public are associated (or correlated) with Aikchol Hospital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Aikchol Hospital Public has no effect on the direction of Mena Transport i.e., Mena Transport and Aikchol Hospital go up and down completely randomly.
Pair Corralation between Mena Transport and Aikchol Hospital
Assuming the 90 days trading horizon Mena Transport Public is expected to under-perform the Aikchol Hospital. In addition to that, Mena Transport is 2.4 times more volatile than Aikchol Hospital Public. It trades about -0.29 of its total potential returns per unit of risk. Aikchol Hospital Public is currently generating about 0.0 per unit of volatility. If you would invest 1,540 in Aikchol Hospital Public on October 11, 2024 and sell it today you would earn a total of 0.00 from holding Aikchol Hospital Public or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Mena Transport Public vs. Aikchol Hospital Public
Performance |
Timeline |
Mena Transport Public |
Aikchol Hospital Public |
Mena Transport and Aikchol Hospital Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mena Transport and Aikchol Hospital
The main advantage of trading using opposite Mena Transport and Aikchol Hospital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mena Transport position performs unexpectedly, Aikchol Hospital 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 Aikchol Hospital will offset losses from the drop in Aikchol Hospital's long position.Mena Transport vs. Mono Next Public | Mena Transport vs. Triple i Logistics | Mena Transport vs. Dynasty Ceramic Public |
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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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