Correlation Between Digital Mediatama and Map Boga
Can any of the company-specific risk be diversified away by investing in both Digital Mediatama and Map Boga 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 Map Boga 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 Map Boga Adiperkasa, you can compare the effects of market volatilities on Digital Mediatama and Map Boga 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 Map Boga. Check out your portfolio center. Please also check ongoing floating volatility patterns of Digital Mediatama and Map Boga.
Diversification Opportunities for Digital Mediatama and Map Boga
-0.9 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Digital and Map is -0.9. Overlapping area represents the amount of risk that can be diversified away by holding Digital Mediatama Maxima and Map Boga Adiperkasa in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Map Boga Adiperkasa 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 Map Boga. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Map Boga Adiperkasa has no effect on the direction of Digital Mediatama i.e., Digital Mediatama and Map Boga go up and down completely randomly.
Pair Corralation between Digital Mediatama and Map Boga
Assuming the 90 days trading horizon Digital Mediatama Maxima is expected to generate 3.47 times more return on investment than Map Boga. However, Digital Mediatama is 3.47 times more volatile than Map Boga Adiperkasa. It trades about 0.18 of its potential returns per unit of risk. Map Boga Adiperkasa is currently generating about -0.21 per unit of risk. If you would invest 12,500 in Digital Mediatama Maxima on September 18, 2024 and sell it today you would earn a total of 9,700 from holding Digital Mediatama Maxima or generate 77.6% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Digital Mediatama Maxima vs. Map Boga Adiperkasa
Performance |
Timeline |
Digital Mediatama Maxima |
Map Boga Adiperkasa |
Digital Mediatama and Map Boga Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Digital Mediatama and Map Boga
The main advantage of trading using opposite Digital Mediatama and Map Boga positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Digital Mediatama position performs unexpectedly, Map Boga 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 Map Boga will offset losses from the drop in Map Boga's long position.Digital Mediatama vs. Elang Mahkota Teknologi | Digital Mediatama vs. Bank Artos Indonesia | Digital Mediatama vs. Bank Yudha Bhakti | Digital Mediatama vs. NFC Indonesia PT |
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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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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