Correlation Between BANK MANDIRI and ARITZIA INCSUBVTGSHS
Can any of the company-specific risk be diversified away by investing in both BANK MANDIRI and ARITZIA INCSUBVTGSHS 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 ARITZIA INCSUBVTGSHS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BANK MANDIRI and ARITZIA INCSUBVTGSHS, you can compare the effects of market volatilities on BANK MANDIRI and ARITZIA INCSUBVTGSHS 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 ARITZIA INCSUBVTGSHS. Check out your portfolio center. Please also check ongoing floating volatility patterns of BANK MANDIRI and ARITZIA INCSUBVTGSHS.
Diversification Opportunities for BANK MANDIRI and ARITZIA INCSUBVTGSHS
-0.71 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between BANK and ARITZIA is -0.71. Overlapping area represents the amount of risk that can be diversified away by holding BANK MANDIRI and ARITZIA INCSUBVTGSHS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ARITZIA INCSUBVTGSHS 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 ARITZIA INCSUBVTGSHS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ARITZIA INCSUBVTGSHS has no effect on the direction of BANK MANDIRI i.e., BANK MANDIRI and ARITZIA INCSUBVTGSHS go up and down completely randomly.
Pair Corralation between BANK MANDIRI and ARITZIA INCSUBVTGSHS
Assuming the 90 days trading horizon BANK MANDIRI is expected to generate 2.16 times less return on investment than ARITZIA INCSUBVTGSHS. But when comparing it to its historical volatility, BANK MANDIRI is 1.49 times less risky than ARITZIA INCSUBVTGSHS. It trades about 0.03 of its potential returns per unit of risk. ARITZIA INCSUBVTGSHS is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 3,260 in ARITZIA INCSUBVTGSHS on October 24, 2024 and sell it today you would earn a total of 1,360 from holding ARITZIA INCSUBVTGSHS or generate 41.72% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
BANK MANDIRI vs. ARITZIA INCSUBVTGSHS
Performance |
Timeline |
BANK MANDIRI |
ARITZIA INCSUBVTGSHS |
BANK MANDIRI and ARITZIA INCSUBVTGSHS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BANK MANDIRI and ARITZIA INCSUBVTGSHS
The main advantage of trading using opposite BANK MANDIRI and ARITZIA INCSUBVTGSHS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BANK MANDIRI position performs unexpectedly, ARITZIA INCSUBVTGSHS 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 ARITZIA INCSUBVTGSHS will offset losses from the drop in ARITZIA INCSUBVTGSHS's long position.BANK MANDIRI vs. DELTA AIR LINES | BANK MANDIRI vs. HOCHSCHILD MINING | BANK MANDIRI vs. FORWARD AIR P | BANK MANDIRI vs. Gaming and Leisure |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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