Correlation Between Mega Lifesciences and Humanica Public
Can any of the company-specific risk be diversified away by investing in both Mega Lifesciences and Humanica Public 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 Mega Lifesciences and Humanica Public into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Mega Lifesciences Public and Humanica Public, you can compare the effects of market volatilities on Mega Lifesciences and Humanica Public 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 Mega Lifesciences with a short position of Humanica Public. Check out your portfolio center. Please also check ongoing floating volatility patterns of Mega Lifesciences and Humanica Public.
Diversification Opportunities for Mega Lifesciences and Humanica Public
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Mega and Humanica is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding Mega Lifesciences Public and Humanica Public in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Humanica Public and Mega Lifesciences 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 Mega Lifesciences Public are associated (or correlated) with Humanica Public. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Humanica Public has no effect on the direction of Mega Lifesciences i.e., Mega Lifesciences and Humanica Public go up and down completely randomly.
Pair Corralation between Mega Lifesciences and Humanica Public
Assuming the 90 days trading horizon Mega Lifesciences Public is expected to generate 1.07 times more return on investment than Humanica Public. However, Mega Lifesciences is 1.07 times more volatile than Humanica Public. It trades about -0.15 of its potential returns per unit of risk. Humanica Public is currently generating about -0.21 per unit of risk. If you would invest 3,950 in Mega Lifesciences Public on September 15, 2024 and sell it today you would lose (625.00) from holding Mega Lifesciences Public or give up 15.82% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Mega Lifesciences Public vs. Humanica Public
Performance |
Timeline |
Mega Lifesciences Public |
Humanica Public |
Mega Lifesciences and Humanica Public Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Mega Lifesciences and Humanica Public
The main advantage of trading using opposite Mega Lifesciences and Humanica Public positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Mega Lifesciences position performs unexpectedly, Humanica Public 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 Humanica Public will offset losses from the drop in Humanica Public's long position.Mega Lifesciences vs. Rajthanee Hospital Public | Mega Lifesciences vs. Chularat Hospital Public | Mega Lifesciences vs. Ekachai Medical Care | Mega Lifesciences vs. Bangkok Chain Hospital |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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