Correlation Between Bank Mandiri and Eastern Michigan
Can any of the company-specific risk be diversified away by investing in both Bank Mandiri and Eastern Michigan 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 Mandiri and Eastern Michigan into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank Mandiri Persero and Eastern Michigan Financial, you can compare the effects of market volatilities on Bank Mandiri and Eastern Michigan 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 Mandiri with a short position of Eastern Michigan. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank Mandiri and Eastern Michigan.
Diversification Opportunities for Bank Mandiri and Eastern Michigan
-0.8 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Bank and Eastern is -0.8. Overlapping area represents the amount of risk that can be diversified away by holding Bank Mandiri Persero and Eastern Michigan Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Eastern Michigan Fin and Bank Mandiri 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 Mandiri Persero are associated (or correlated) with Eastern Michigan. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Eastern Michigan Fin has no effect on the direction of Bank Mandiri i.e., Bank Mandiri and Eastern Michigan go up and down completely randomly.
Pair Corralation between Bank Mandiri and Eastern Michigan
Assuming the 90 days horizon Bank Mandiri Persero is expected to under-perform the Eastern Michigan. In addition to that, Bank Mandiri is 3.34 times more volatile than Eastern Michigan Financial. It trades about 0.0 of its total potential returns per unit of risk. Eastern Michigan Financial is currently generating about 0.05 per unit of volatility. If you would invest 3,500 in Eastern Michigan Financial on August 31, 2024 and sell it today you would earn a total of 41.00 from holding Eastern Michigan Financial or generate 1.17% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Bank Mandiri Persero vs. Eastern Michigan Financial
Performance |
Timeline |
Bank Mandiri Persero |
Eastern Michigan Fin |
Bank Mandiri and Eastern Michigan Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank Mandiri and Eastern Michigan
The main advantage of trading using opposite Bank Mandiri and Eastern Michigan positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank Mandiri position performs unexpectedly, Eastern Michigan 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 Eastern Michigan will offset losses from the drop in Eastern Michigan's long position.Bank Mandiri vs. PT Bank Rakyat | Bank Mandiri vs. Piraeus Bank SA | Bank Mandiri vs. Eurobank Ergasias Services | Bank Mandiri vs. Zions Bancorporation |
Eastern Michigan vs. Bank Mandiri Persero | Eastern Michigan vs. Piraeus Bank SA | Eastern Michigan vs. Eurobank Ergasias Services | Eastern Michigan vs. Kasikornbank Public Co |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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