Correlation Between Archi Indonesia and RMK Energy
Can any of the company-specific risk be diversified away by investing in both Archi Indonesia and RMK 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 Archi Indonesia and RMK Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Archi Indonesia Tbk and RMK Energy PT, you can compare the effects of market volatilities on Archi Indonesia and RMK 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 Archi Indonesia with a short position of RMK Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Archi Indonesia and RMK Energy.
Diversification Opportunities for Archi Indonesia and RMK Energy
0.58 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Archi and RMK is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding Archi Indonesia Tbk and RMK Energy PT in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on RMK Energy PT and Archi Indonesia 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 Archi Indonesia Tbk are associated (or correlated) with RMK Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of RMK Energy PT has no effect on the direction of Archi Indonesia i.e., Archi Indonesia and RMK Energy go up and down completely randomly.
Pair Corralation between Archi Indonesia and RMK Energy
Assuming the 90 days trading horizon Archi Indonesia Tbk is expected to generate 1.06 times more return on investment than RMK Energy. However, Archi Indonesia is 1.06 times more volatile than RMK Energy PT. It trades about -0.06 of its potential returns per unit of risk. RMK Energy PT is currently generating about -0.14 per unit of risk. If you would invest 28,400 in Archi Indonesia Tbk on September 20, 2024 and sell it today you would lose (2,600) from holding Archi Indonesia Tbk or give up 9.15% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Archi Indonesia Tbk vs. RMK Energy PT
Performance |
Timeline |
Archi Indonesia Tbk |
RMK Energy PT |
Archi Indonesia and RMK Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Archi Indonesia and RMK Energy
The main advantage of trading using opposite Archi Indonesia and RMK Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Archi Indonesia position performs unexpectedly, RMK 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 RMK Energy will offset losses from the drop in RMK Energy's long position.Archi Indonesia vs. Triputra Agro Persada | Archi Indonesia vs. Berkah Beton Sadaya | Archi Indonesia vs. PAM Mineral Tbk | Archi Indonesia vs. PT Bukalapak |
RMK Energy vs. Bank Artos Indonesia | RMK Energy vs. GoTo Gojek Tokopedia | RMK Energy vs. Elang Mahkota Teknologi | RMK Energy vs. PT Bukalapak |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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