Correlation Between BANK MANDIRI and COMPUTER MODELLING
Can any of the company-specific risk be diversified away by investing in both BANK MANDIRI and COMPUTER MODELLING 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 COMPUTER MODELLING into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BANK MANDIRI and COMPUTER MODELLING, you can compare the effects of market volatilities on BANK MANDIRI and COMPUTER MODELLING 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 COMPUTER MODELLING. Check out your portfolio center. Please also check ongoing floating volatility patterns of BANK MANDIRI and COMPUTER MODELLING.
Diversification Opportunities for BANK MANDIRI and COMPUTER MODELLING
-0.56 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between BANK and COMPUTER is -0.56. Overlapping area represents the amount of risk that can be diversified away by holding BANK MANDIRI and COMPUTER MODELLING in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on COMPUTER MODELLING 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 COMPUTER MODELLING. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of COMPUTER MODELLING has no effect on the direction of BANK MANDIRI i.e., BANK MANDIRI and COMPUTER MODELLING go up and down completely randomly.
Pair Corralation between BANK MANDIRI and COMPUTER MODELLING
Assuming the 90 days trading horizon BANK MANDIRI is expected to under-perform the COMPUTER MODELLING. In addition to that, BANK MANDIRI is 31.61 times more volatile than COMPUTER MODELLING. It trades about -0.07 of its total potential returns per unit of risk. COMPUTER MODELLING is currently generating about 0.07 per unit of volatility. If you would invest 377.00 in COMPUTER MODELLING on December 23, 2024 and sell it today you would earn a total of 3.00 from holding COMPUTER MODELLING or generate 0.8% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 98.36% |
Values | Daily Returns |
BANK MANDIRI vs. COMPUTER MODELLING
Performance |
Timeline |
BANK MANDIRI |
COMPUTER MODELLING |
BANK MANDIRI and COMPUTER MODELLING Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BANK MANDIRI and COMPUTER MODELLING
The main advantage of trading using opposite BANK MANDIRI and COMPUTER MODELLING positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BANK MANDIRI position performs unexpectedly, COMPUTER MODELLING 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 COMPUTER MODELLING will offset losses from the drop in COMPUTER MODELLING's long position.BANK MANDIRI vs. INDO RAMA SYNTHETIC | BANK MANDIRI vs. PSI Software AG | BANK MANDIRI vs. Axway Software SA | BANK MANDIRI vs. Sqs Software Quality |
COMPUTER MODELLING vs. UNITED UTILITIES GR | COMPUTER MODELLING vs. GREENX METALS LTD | COMPUTER MODELLING vs. alstria office REIT AG | COMPUTER MODELLING vs. GRIFFIN MINING LTD |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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