Correlation Between Delta Dunia and Perusahaan Perkebunan
Can any of the company-specific risk be diversified away by investing in both Delta Dunia and Perusahaan Perkebunan 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 Perusahaan Perkebunan 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 Perusahaan Perkebunan London, you can compare the effects of market volatilities on Delta Dunia and Perusahaan Perkebunan 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 Perusahaan Perkebunan. Check out your portfolio center. Please also check ongoing floating volatility patterns of Delta Dunia and Perusahaan Perkebunan.
Diversification Opportunities for Delta Dunia and Perusahaan Perkebunan
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Delta and Perusahaan is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Delta Dunia Makmur and Perusahaan Perkebunan London in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Perusahaan Perkebunan 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 Perusahaan Perkebunan. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Perusahaan Perkebunan has no effect on the direction of Delta Dunia i.e., Delta Dunia and Perusahaan Perkebunan go up and down completely randomly.
Pair Corralation between Delta Dunia and Perusahaan Perkebunan
Assuming the 90 days trading horizon Delta Dunia Makmur is expected to under-perform the Perusahaan Perkebunan. In addition to that, Delta Dunia is 1.5 times more volatile than Perusahaan Perkebunan London. It trades about -0.19 of its total potential returns per unit of risk. Perusahaan Perkebunan London is currently generating about -0.1 per unit of volatility. If you would invest 109,000 in Perusahaan Perkebunan London on November 29, 2024 and sell it today you would lose (14,000) from holding Perusahaan Perkebunan London or give up 12.84% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Delta Dunia Makmur vs. Perusahaan Perkebunan London
Performance |
Timeline |
Delta Dunia Makmur |
Perusahaan Perkebunan |
Delta Dunia and Perusahaan Perkebunan Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Delta Dunia and Perusahaan Perkebunan
The main advantage of trading using opposite Delta Dunia and Perusahaan Perkebunan positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Delta Dunia position performs unexpectedly, Perusahaan Perkebunan 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 Perusahaan Perkebunan will offset losses from the drop in Perusahaan Perkebunan'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 |
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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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