Correlation Between MICRONIC MYDATA and BANK MANDIRI
Can any of the company-specific risk be diversified away by investing in both MICRONIC MYDATA and BANK MANDIRI 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 MICRONIC MYDATA and BANK MANDIRI into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MICRONIC MYDATA and BANK MANDIRI, you can compare the effects of market volatilities on MICRONIC MYDATA and BANK MANDIRI 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 MICRONIC MYDATA with a short position of BANK MANDIRI. Check out your portfolio center. Please also check ongoing floating volatility patterns of MICRONIC MYDATA and BANK MANDIRI.
Diversification Opportunities for MICRONIC MYDATA and BANK MANDIRI
-0.55 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between MICRONIC and BANK is -0.55. Overlapping area represents the amount of risk that can be diversified away by holding MICRONIC MYDATA and BANK MANDIRI in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BANK MANDIRI and MICRONIC MYDATA 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 MICRONIC MYDATA are associated (or correlated) with BANK MANDIRI. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BANK MANDIRI has no effect on the direction of MICRONIC MYDATA i.e., MICRONIC MYDATA and BANK MANDIRI go up and down completely randomly.
Pair Corralation between MICRONIC MYDATA and BANK MANDIRI
Assuming the 90 days trading horizon MICRONIC MYDATA is expected to generate 0.38 times more return on investment than BANK MANDIRI. However, MICRONIC MYDATA is 2.63 times less risky than BANK MANDIRI. It trades about 0.13 of its potential returns per unit of risk. BANK MANDIRI is currently generating about -0.07 per unit of risk. If you would invest 3,502 in MICRONIC MYDATA on December 22, 2024 and sell it today you would earn a total of 608.00 from holding MICRONIC MYDATA or generate 17.36% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
MICRONIC MYDATA vs. BANK MANDIRI
Performance |
Timeline |
MICRONIC MYDATA |
BANK MANDIRI |
MICRONIC MYDATA and BANK MANDIRI Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with MICRONIC MYDATA and BANK MANDIRI
The main advantage of trading using opposite MICRONIC MYDATA and BANK MANDIRI positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MICRONIC MYDATA position performs unexpectedly, BANK MANDIRI 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 BANK MANDIRI will offset losses from the drop in BANK MANDIRI's long position.MICRONIC MYDATA vs. Cairo Communication SpA | MICRONIC MYDATA vs. Spirent Communications plc | MICRONIC MYDATA vs. INTERSHOP Communications Aktiengesellschaft | MICRONIC MYDATA vs. Corporate Travel Management |
BANK MANDIRI vs. Scandinavian Tobacco Group | BANK MANDIRI vs. BW OFFSHORE LTD | BANK MANDIRI vs. BC TECHNOLOGY GROUP | BANK MANDIRI vs. Alfa Financial Software |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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