Correlation Between BANK MANDIRI and CREDIT AGRICOLE
Can any of the company-specific risk be diversified away by investing in both BANK MANDIRI and CREDIT AGRICOLE 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 CREDIT AGRICOLE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BANK MANDIRI and CREDIT AGRICOLE, you can compare the effects of market volatilities on BANK MANDIRI and CREDIT AGRICOLE 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 CREDIT AGRICOLE. Check out your portfolio center. Please also check ongoing floating volatility patterns of BANK MANDIRI and CREDIT AGRICOLE.
Diversification Opportunities for BANK MANDIRI and CREDIT AGRICOLE
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between BANK and CREDIT is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding BANK MANDIRI and CREDIT AGRICOLE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CREDIT AGRICOLE 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 are associated (or correlated) with CREDIT AGRICOLE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CREDIT AGRICOLE has no effect on the direction of BANK MANDIRI i.e., BANK MANDIRI and CREDIT AGRICOLE go up and down completely randomly.
Pair Corralation between BANK MANDIRI and CREDIT AGRICOLE
Assuming the 90 days trading horizon BANK MANDIRI is expected to generate 1.47 times less return on investment than CREDIT AGRICOLE. In addition to that, BANK MANDIRI is 1.75 times more volatile than CREDIT AGRICOLE. It trades about 0.03 of its total potential returns per unit of risk. CREDIT AGRICOLE is currently generating about 0.07 per unit of volatility. If you would invest 895.00 in CREDIT AGRICOLE on October 4, 2024 and sell it today you would earn a total of 438.00 from holding CREDIT AGRICOLE or generate 48.94% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
BANK MANDIRI vs. CREDIT AGRICOLE
Performance |
Timeline |
BANK MANDIRI |
CREDIT AGRICOLE |
BANK MANDIRI and CREDIT AGRICOLE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BANK MANDIRI and CREDIT AGRICOLE
The main advantage of trading using opposite BANK MANDIRI and CREDIT AGRICOLE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BANK MANDIRI position performs unexpectedly, CREDIT AGRICOLE 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 CREDIT AGRICOLE will offset losses from the drop in CREDIT AGRICOLE's long position.BANK MANDIRI vs. RYANAIR HLDGS ADR | BANK MANDIRI vs. SEALED AIR | BANK MANDIRI vs. MagnaChip Semiconductor Corp | BANK MANDIRI vs. Elmos Semiconductor SE |
CREDIT AGRICOLE vs. Apple Inc | CREDIT AGRICOLE vs. Apple Inc | CREDIT AGRICOLE vs. Apple Inc | CREDIT AGRICOLE vs. Apple Inc |
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 Valuation module to check real value of public entities based on technical and fundamental data.
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