Correlation Between Delta Dunia and Indika Energy
Can any of the company-specific risk be diversified away by investing in both Delta Dunia and Indika 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 Delta Dunia and Indika Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Delta Dunia Makmur and Indika Energy Tbk, you can compare the effects of market volatilities on Delta Dunia and Indika 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 Delta Dunia with a short position of Indika Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Delta Dunia and Indika Energy.
Diversification Opportunities for Delta Dunia and Indika Energy
0.49 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Delta and Indika is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding Delta Dunia Makmur and Indika Energy Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Indika Energy Tbk and Delta Dunia 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 Delta Dunia Makmur are associated (or correlated) with Indika Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Indika Energy Tbk has no effect on the direction of Delta Dunia i.e., Delta Dunia and Indika Energy go up and down completely randomly.
Pair Corralation between Delta Dunia and Indika Energy
Assuming the 90 days trading horizon Delta Dunia Makmur is expected to generate 1.19 times more return on investment than Indika Energy. However, Delta Dunia is 1.19 times more volatile than Indika Energy Tbk. It trades about 0.12 of its potential returns per unit of risk. Indika Energy Tbk is currently generating about -0.19 per unit of risk. If you would invest 67,000 in Delta Dunia Makmur on August 31, 2024 and sell it today you would earn a total of 5,000 from holding Delta Dunia Makmur or generate 7.46% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Delta Dunia Makmur vs. Indika Energy Tbk
Performance |
| Timeline |
| Delta Dunia Makmur |
| Indika Energy Tbk |
Delta Dunia and Indika Energy Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Delta Dunia and Indika Energy
The main advantage of trading using opposite Delta Dunia and Indika Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Delta Dunia position performs unexpectedly, Indika 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 Indika Energy will offset losses from the drop in Indika Energy's long position.| Delta Dunia vs. Indika Energy Tbk | Delta Dunia vs. Elnusa Tbk | Delta Dunia vs. Harum Energy Tbk | Delta Dunia vs. Energi Mega Persada |
| Indika Energy vs. Indo Tambangraya Megah | Indika Energy vs. Adaro Energy Tbk | Indika Energy vs. Medco Energi Internasional | Indika Energy vs. Vale Indonesia Tbk |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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