Correlation Between Gajah Tunggal and Harum Energy
Can any of the company-specific risk be diversified away by investing in both Gajah Tunggal 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 Gajah Tunggal and Harum Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gajah Tunggal Tbk and Harum Energy Tbk, you can compare the effects of market volatilities on Gajah Tunggal 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 Gajah Tunggal with a short position of Harum Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gajah Tunggal and Harum Energy.
Diversification Opportunities for Gajah Tunggal and Harum Energy
0.48 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Gajah and Harum is 0.48. Overlapping area represents the amount of risk that can be diversified away by holding Gajah Tunggal Tbk 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 Gajah Tunggal 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 Gajah Tunggal Tbk 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 Gajah Tunggal i.e., Gajah Tunggal and Harum Energy go up and down completely randomly.
Pair Corralation between Gajah Tunggal and Harum Energy
Assuming the 90 days trading horizon Gajah Tunggal Tbk is expected to generate 0.94 times more return on investment than Harum Energy. However, Gajah Tunggal Tbk is 1.07 times less risky than Harum Energy. It trades about 0.05 of its potential returns per unit of risk. Harum Energy Tbk is currently generating about -0.03 per unit of risk. If you would invest 102,542 in Gajah Tunggal Tbk on September 3, 2024 and sell it today you would earn a total of 11,458 from holding Gajah Tunggal Tbk or generate 11.17% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Gajah Tunggal Tbk vs. Harum Energy Tbk
Performance |
Timeline |
Gajah Tunggal Tbk |
Harum Energy Tbk |
Gajah Tunggal and Harum Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gajah Tunggal and Harum Energy
The main advantage of trading using opposite Gajah Tunggal and Harum Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gajah Tunggal 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.Gajah Tunggal vs. Perusahaan Perkebunan London | Gajah Tunggal vs. Solusi Bangun Indonesia | Gajah Tunggal vs. Ciputra Development Tbk | Gajah Tunggal vs. Global Mediacom Tbk |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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