Correlation Between PT Astra and Bank of AmericaPFD SER B
Can any of the company-specific risk be diversified away by investing in both PT Astra and Bank of AmericaPFD SER B 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 PT Astra and Bank of AmericaPFD SER B into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PT Astra International and Bank of America, you can compare the effects of market volatilities on PT Astra and Bank of AmericaPFD SER B 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 PT Astra with a short position of Bank of AmericaPFD SER B . Check out your portfolio center. Please also check ongoing floating volatility patterns of PT Astra and Bank of AmericaPFD SER B .
Diversification Opportunities for PT Astra and Bank of AmericaPFD SER B
-0.17 | Correlation Coefficient |
Good diversification
The 3 months correlation between PTAIF and Bank is -0.17. Overlapping area represents the amount of risk that can be diversified away by holding PT Astra International and Bank of America in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank of AmericaPFD SER B and PT Astra 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 PT Astra International are associated (or correlated) with Bank of AmericaPFD SER B . Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank of AmericaPFD SER B has no effect on the direction of PT Astra i.e., PT Astra and Bank of AmericaPFD SER B go up and down completely randomly.
Pair Corralation between PT Astra and Bank of AmericaPFD SER B
Assuming the 90 days horizon PT Astra is expected to generate 38.23 times less return on investment than Bank of AmericaPFD SER B . But when comparing it to its historical volatility, PT Astra International is 3.31 times less risky than Bank of AmericaPFD SER B . It trades about 0.0 of its potential returns per unit of risk. Bank of America is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 21,349 in Bank of America on December 20, 2024 and sell it today you would lose (1,845) from holding Bank of America or give up 8.64% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 93.65% |
Values | Daily Returns |
PT Astra International vs. Bank of America
Performance |
Timeline |
PT Astra International |
Bank of AmericaPFD SER B |
PT Astra and Bank of AmericaPFD SER B Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PT Astra and Bank of AmericaPFD SER B
The main advantage of trading using opposite PT Astra and Bank of AmericaPFD SER B positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PT Astra position performs unexpectedly, Bank of AmericaPFD SER B 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 of AmericaPFD SER B will offset losses from the drop in Bank of AmericaPFD SER B 's long position.PT Astra vs. Allison Transmission Holdings | PT Astra vs. Luminar Technologies | PT Astra vs. Quantumscape Corp | PT Astra vs. Lear Corporation |
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 Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
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