Correlation Between Adaro Minerals and Bank Maspion
Can any of the company-specific risk be diversified away by investing in both Adaro Minerals and Bank Maspion 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 Adaro Minerals and Bank Maspion into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Adaro Minerals Indonesia and Bank Maspion Indonesia, you can compare the effects of market volatilities on Adaro Minerals and Bank Maspion 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 Adaro Minerals with a short position of Bank Maspion. Check out your portfolio center. Please also check ongoing floating volatility patterns of Adaro Minerals and Bank Maspion.
Diversification Opportunities for Adaro Minerals and Bank Maspion
0.9 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Adaro and Bank is 0.9. Overlapping area represents the amount of risk that can be diversified away by holding Adaro Minerals Indonesia and Bank Maspion Indonesia in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank Maspion Indonesia and Adaro Minerals 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 Adaro Minerals Indonesia are associated (or correlated) with Bank Maspion. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank Maspion Indonesia has no effect on the direction of Adaro Minerals i.e., Adaro Minerals and Bank Maspion go up and down completely randomly.
Pair Corralation between Adaro Minerals and Bank Maspion
Assuming the 90 days trading horizon Adaro Minerals Indonesia is expected to under-perform the Bank Maspion. In addition to that, Adaro Minerals is 2.39 times more volatile than Bank Maspion Indonesia. It trades about -0.12 of its total potential returns per unit of risk. Bank Maspion Indonesia is currently generating about -0.27 per unit of volatility. If you would invest 58,500 in Bank Maspion Indonesia on December 30, 2024 and sell it today you would lose (12,500) from holding Bank Maspion Indonesia or give up 21.37% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Adaro Minerals Indonesia vs. Bank Maspion Indonesia
Performance |
Timeline |
Adaro Minerals Indonesia |
Bank Maspion Indonesia |
Adaro Minerals and Bank Maspion Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Adaro Minerals and Bank Maspion
The main advantage of trading using opposite Adaro Minerals and Bank Maspion positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Adaro Minerals position performs unexpectedly, Bank Maspion 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 Maspion will offset losses from the drop in Bank Maspion's long position.Adaro Minerals vs. Bank Artos Indonesia | Adaro Minerals vs. GoTo Gojek Tokopedia | Adaro Minerals vs. Elang Mahkota Teknologi | Adaro Minerals vs. PT Bukalapak |
Bank Maspion vs. Bank Mestika Dharma | Bank Maspion vs. Bank Sinarmas Tbk | Bank Maspion vs. Bank Ina Perdana | Bank Maspion vs. Bank Qnb Indonesia |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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