Correlation Between Elang Mahkota and Harum Energy
Can any of the company-specific risk be diversified away by investing in both Elang Mahkota and Harum Energy 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 Elang Mahkota and Harum Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Elang Mahkota Teknologi and Harum Energy Tbk, you can compare the effects of market volatilities on Elang Mahkota and Harum Energy 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 Elang Mahkota with a short position of Harum Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Elang Mahkota and Harum Energy.
Diversification Opportunities for Elang Mahkota and Harum Energy
-0.73 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Elang and Harum is -0.73. Overlapping area represents the amount of risk that can be diversified away by holding Elang Mahkota Teknologi and Harum Energy Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Harum Energy Tbk and Elang Mahkota 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 Elang Mahkota Teknologi are associated (or correlated) with Harum Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Harum Energy Tbk has no effect on the direction of Elang Mahkota i.e., Elang Mahkota and Harum Energy go up and down completely randomly.
Pair Corralation between Elang Mahkota and Harum Energy
Assuming the 90 days trading horizon Elang Mahkota Teknologi is expected to generate 1.7 times more return on investment than Harum Energy. However, Elang Mahkota is 1.7 times more volatile than Harum Energy Tbk. It trades about 0.1 of its potential returns per unit of risk. Harum Energy Tbk is currently generating about -0.16 per unit of risk. If you would invest 41,000 in Elang Mahkota Teknologi on September 3, 2024 and sell it today you would earn a total of 7,600 from holding Elang Mahkota Teknologi or generate 18.54% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Elang Mahkota Teknologi vs. Harum Energy Tbk
Performance |
Timeline |
Elang Mahkota Teknologi |
Harum Energy Tbk |
Elang Mahkota and Harum Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Elang Mahkota and Harum Energy
The main advantage of trading using opposite Elang Mahkota and Harum Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Elang Mahkota position performs unexpectedly, Harum Energy 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 Harum Energy will offset losses from the drop in Harum Energy's long position.Elang Mahkota vs. Bank Artos Indonesia | Elang Mahkota vs. PT Bukalapak | Elang Mahkota vs. Sumber Alfaria Trijaya | Elang Mahkota vs. Merdeka Copper Gold |
Harum Energy vs. Weha Transportasi Indonesia | Harum Energy vs. Mitra Pinasthika Mustika | Harum Energy vs. Jakarta Int Hotels | Harum Energy vs. Asuransi Harta Aman |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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