Correlation Between Automatic Data and PT Bank
Can any of the company-specific risk be diversified away by investing in both Automatic Data and PT Bank 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 Automatic Data and PT Bank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Automatic Data Processing and PT Bank Mandiri, you can compare the effects of market volatilities on Automatic Data and PT Bank 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 Automatic Data with a short position of PT Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Automatic Data and PT Bank.
Diversification Opportunities for Automatic Data and PT Bank
0.1 | Correlation Coefficient |
Average diversification
The 3 months correlation between Automatic and PQ9 is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding Automatic Data Processing and PT Bank Mandiri in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PT Bank Mandiri and Automatic Data 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 Automatic Data Processing are associated (or correlated) with PT Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PT Bank Mandiri has no effect on the direction of Automatic Data i.e., Automatic Data and PT Bank go up and down completely randomly.
Pair Corralation between Automatic Data and PT Bank
Assuming the 90 days horizon Automatic Data Processing is expected to generate 0.22 times more return on investment than PT Bank. However, Automatic Data Processing is 4.64 times less risky than PT Bank. It trades about 0.0 of its potential returns per unit of risk. PT Bank Mandiri is currently generating about -0.04 per unit of risk. If you would invest 28,216 in Automatic Data Processing on December 29, 2024 and sell it today you would lose (111.00) from holding Automatic Data Processing or give up 0.39% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Automatic Data Processing vs. PT Bank Mandiri
Performance |
Timeline |
Automatic Data Processing |
PT Bank Mandiri |
Automatic Data and PT Bank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Automatic Data and PT Bank
The main advantage of trading using opposite Automatic Data and PT Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Automatic Data position performs unexpectedly, PT Bank 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 PT Bank will offset losses from the drop in PT Bank's long position.Automatic Data vs. GEELY AUTOMOBILE | Automatic Data vs. MOBILE FACTORY INC | Automatic Data vs. Veolia Environnement SA | Automatic Data vs. Cairo Communication SpA |
PT Bank vs. EITZEN CHEMICALS | PT Bank vs. Sanyo Chemical Industries | PT Bank vs. GRIFFIN MINING LTD | PT Bank vs. Strong Petrochemical Holdings |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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