Correlation Between Bank Mega and Metro Healthcare
Can any of the company-specific risk be diversified away by investing in both Bank Mega and Metro Healthcare 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 Bank Mega and Metro Healthcare into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank Mega Tbk and Metro Healthcare Indonesia, you can compare the effects of market volatilities on Bank Mega and Metro Healthcare 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 Bank Mega with a short position of Metro Healthcare. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank Mega and Metro Healthcare.
Diversification Opportunities for Bank Mega and Metro Healthcare
-0.48 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Bank and Metro is -0.48. Overlapping area represents the amount of risk that can be diversified away by holding Bank Mega Tbk and Metro Healthcare Indonesia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Metro Healthcare Ind and Bank Mega 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 Bank Mega Tbk are associated (or correlated) with Metro Healthcare. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Metro Healthcare Ind has no effect on the direction of Bank Mega i.e., Bank Mega and Metro Healthcare go up and down completely randomly.
Pair Corralation between Bank Mega and Metro Healthcare
Assuming the 90 days trading horizon Bank Mega Tbk is expected to under-perform the Metro Healthcare. But the stock apears to be less risky and, when comparing its historical volatility, Bank Mega Tbk is 1.89 times less risky than Metro Healthcare. The stock trades about -0.12 of its potential returns per unit of risk. The Metro Healthcare Indonesia is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 18,900 in Metro Healthcare Indonesia on December 30, 2024 and sell it today you would earn a total of 2,300 from holding Metro Healthcare Indonesia or generate 12.17% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Bank Mega Tbk vs. Metro Healthcare Indonesia
Performance |
Timeline |
Bank Mega Tbk |
Metro Healthcare Ind |
Bank Mega and Metro Healthcare Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank Mega and Metro Healthcare
The main advantage of trading using opposite Bank Mega and Metro Healthcare positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank Mega position performs unexpectedly, Metro Healthcare 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 Metro Healthcare will offset losses from the drop in Metro Healthcare's long position.Bank Mega vs. Bank Ocbc Nisp | Bank Mega vs. Bank Mayapada Internasional | Bank Mega vs. Bank Permata Tbk | Bank Mega vs. Bank Pan Indonesia |
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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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