Correlation Between BANK MANDIRI and GREEN PLAINS
Can any of the company-specific risk be diversified away by investing in both BANK MANDIRI and GREEN PLAINS 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 GREEN PLAINS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BANK MANDIRI and GREEN PLAINS RENEW, you can compare the effects of market volatilities on BANK MANDIRI and GREEN PLAINS 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 GREEN PLAINS. Check out your portfolio center. Please also check ongoing floating volatility patterns of BANK MANDIRI and GREEN PLAINS.
Diversification Opportunities for BANK MANDIRI and GREEN PLAINS
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between BANK and GREEN is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding BANK MANDIRI and GREEN PLAINS RENEW in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GREEN PLAINS RENEW 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 GREEN PLAINS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GREEN PLAINS RENEW has no effect on the direction of BANK MANDIRI i.e., BANK MANDIRI and GREEN PLAINS go up and down completely randomly.
Pair Corralation between BANK MANDIRI and GREEN PLAINS
Assuming the 90 days trading horizon BANK MANDIRI is expected to under-perform the GREEN PLAINS. But the stock apears to be less risky and, when comparing its historical volatility, BANK MANDIRI is 1.37 times less risky than GREEN PLAINS. The stock trades about -0.15 of its potential returns per unit of risk. The GREEN PLAINS RENEW is currently generating about -0.01 of returns per unit of risk over similar time horizon. If you would invest 1,013 in GREEN PLAINS RENEW on October 25, 2024 and sell it today you would lose (55.00) from holding GREEN PLAINS RENEW or give up 5.43% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.33% |
Values | Daily Returns |
BANK MANDIRI vs. GREEN PLAINS RENEW
Performance |
Timeline |
BANK MANDIRI |
GREEN PLAINS RENEW |
BANK MANDIRI and GREEN PLAINS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BANK MANDIRI and GREEN PLAINS
The main advantage of trading using opposite BANK MANDIRI and GREEN PLAINS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BANK MANDIRI position performs unexpectedly, GREEN PLAINS 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 GREEN PLAINS will offset losses from the drop in GREEN PLAINS's long position.BANK MANDIRI vs. G8 EDUCATION | BANK MANDIRI vs. CAREER EDUCATION | BANK MANDIRI vs. Fast Retailing Co | BANK MANDIRI vs. STRAYER EDUCATION |
GREEN PLAINS vs. United Airlines Holdings | GREEN PLAINS vs. Singapore Airlines Limited | GREEN PLAINS vs. JAPAN AIRLINES | GREEN PLAINS vs. Singapore Reinsurance |
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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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