Correlation Between Digital Mediatama and Elang Mahkota
Can any of the company-specific risk be diversified away by investing in both Digital Mediatama and Elang Mahkota 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 Digital Mediatama and Elang Mahkota into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Digital Mediatama Maxima and Elang Mahkota Teknologi, you can compare the effects of market volatilities on Digital Mediatama and Elang Mahkota 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 Digital Mediatama with a short position of Elang Mahkota. Check out your portfolio center. Please also check ongoing floating volatility patterns of Digital Mediatama and Elang Mahkota.
Diversification Opportunities for Digital Mediatama and Elang Mahkota
0.04 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Digital and Elang is 0.04. Overlapping area represents the amount of risk that can be diversified away by holding Digital Mediatama Maxima and Elang Mahkota Teknologi in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Elang Mahkota Teknologi and Digital Mediatama 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 Digital Mediatama Maxima are associated (or correlated) with Elang Mahkota. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Elang Mahkota Teknologi has no effect on the direction of Digital Mediatama i.e., Digital Mediatama and Elang Mahkota go up and down completely randomly.
Pair Corralation between Digital Mediatama and Elang Mahkota
Assuming the 90 days trading horizon Digital Mediatama Maxima is expected to generate 1.35 times more return on investment than Elang Mahkota. However, Digital Mediatama is 1.35 times more volatile than Elang Mahkota Teknologi. It trades about 0.16 of its potential returns per unit of risk. Elang Mahkota Teknologi is currently generating about 0.06 per unit of risk. If you would invest 24,600 in Digital Mediatama Maxima on December 30, 2024 and sell it today you would earn a total of 13,000 from holding Digital Mediatama Maxima or generate 52.85% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Digital Mediatama Maxima vs. Elang Mahkota Teknologi
Performance |
Timeline |
Digital Mediatama Maxima |
Elang Mahkota Teknologi |
Digital Mediatama and Elang Mahkota Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Digital Mediatama and Elang Mahkota
The main advantage of trading using opposite Digital Mediatama and Elang Mahkota positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Digital Mediatama position performs unexpectedly, Elang Mahkota 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 Elang Mahkota will offset losses from the drop in Elang Mahkota's long position.Digital Mediatama vs. Elang Mahkota Teknologi | Digital Mediatama vs. M Cash Integrasi | Digital Mediatama vs. Bank Artos Indonesia | Digital Mediatama vs. Bank Yudha Bhakti |
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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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