Correlation Between Bank Mandiri and MCAN Mortgage
Can any of the company-specific risk be diversified away by investing in both Bank Mandiri and MCAN Mortgage 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 MCAN Mortgage 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 MCAN Mortgage, you can compare the effects of market volatilities on Bank Mandiri and MCAN Mortgage 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 MCAN Mortgage. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank Mandiri and MCAN Mortgage.
Diversification Opportunities for Bank Mandiri and MCAN Mortgage
-0.84 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Bank and MCAN is -0.84. Overlapping area represents the amount of risk that can be diversified away by holding Bank Mandiri Persero and MCAN Mortgage in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MCAN Mortgage 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 MCAN Mortgage. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MCAN Mortgage has no effect on the direction of Bank Mandiri i.e., Bank Mandiri and MCAN Mortgage go up and down completely randomly.
Pair Corralation between Bank Mandiri and MCAN Mortgage
Assuming the 90 days horizon Bank Mandiri Persero is expected to under-perform the MCAN Mortgage. In addition to that, Bank Mandiri is 3.59 times more volatile than MCAN Mortgage. It trades about -0.09 of its total potential returns per unit of risk. MCAN Mortgage is currently generating about 0.1 per unit of volatility. If you would invest 1,356 in MCAN Mortgage on September 3, 2024 and sell it today you would earn a total of 39.00 from holding MCAN Mortgage or generate 2.88% 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. MCAN Mortgage
Performance |
Timeline |
Bank Mandiri Persero |
MCAN Mortgage |
Bank Mandiri and MCAN Mortgage Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank Mandiri and MCAN Mortgage
The main advantage of trading using opposite Bank Mandiri and MCAN Mortgage positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank Mandiri position performs unexpectedly, MCAN Mortgage 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 MCAN Mortgage will offset losses from the drop in MCAN Mortgage'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 |
MCAN Mortgage vs. Guild Holdings Co | MCAN Mortgage vs. Mr Cooper Group | MCAN Mortgage vs. Encore Capital Group | MCAN Mortgage vs. CNFinance Holdings |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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