Correlation Between RMK Energy and Jaya Swarasa
Can any of the company-specific risk be diversified away by investing in both RMK Energy and Jaya Swarasa 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 RMK Energy and Jaya Swarasa into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between RMK Energy PT and Jaya Swarasa Agung, you can compare the effects of market volatilities on RMK Energy and Jaya Swarasa 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 RMK Energy with a short position of Jaya Swarasa. Check out your portfolio center. Please also check ongoing floating volatility patterns of RMK Energy and Jaya Swarasa.
Diversification Opportunities for RMK Energy and Jaya Swarasa
0.71 | Correlation Coefficient |
Poor diversification
The 3 months correlation between RMK and Jaya is 0.71. Overlapping area represents the amount of risk that can be diversified away by holding RMK Energy PT and Jaya Swarasa Agung in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jaya Swarasa Agung and RMK Energy 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 RMK Energy PT are associated (or correlated) with Jaya Swarasa. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jaya Swarasa Agung has no effect on the direction of RMK Energy i.e., RMK Energy and Jaya Swarasa go up and down completely randomly.
Pair Corralation between RMK Energy and Jaya Swarasa
Assuming the 90 days trading horizon RMK Energy PT is expected to generate 0.63 times more return on investment than Jaya Swarasa. However, RMK Energy PT is 1.59 times less risky than Jaya Swarasa. It trades about -0.08 of its potential returns per unit of risk. Jaya Swarasa Agung is currently generating about -0.14 per unit of risk. If you would invest 57,500 in RMK Energy PT on September 15, 2024 and sell it today you would lose (6,000) from holding RMK Energy PT or give up 10.43% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
RMK Energy PT vs. Jaya Swarasa Agung
Performance |
Timeline |
RMK Energy PT |
Jaya Swarasa Agung |
RMK Energy and Jaya Swarasa Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with RMK Energy and Jaya Swarasa
The main advantage of trading using opposite RMK Energy and Jaya Swarasa positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if RMK Energy position performs unexpectedly, Jaya Swarasa 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 Jaya Swarasa will offset losses from the drop in Jaya Swarasa's long position.RMK Energy vs. Bank Artos Indonesia | RMK Energy vs. GoTo Gojek Tokopedia | RMK Energy vs. Elang Mahkota Teknologi | RMK Energy vs. PT Bukalapak |
Jaya Swarasa vs. Sentra Food Indonesia | Jaya Swarasa vs. Garudafood Putra Putri | Jaya Swarasa vs. Wijaya Karya Bangunan | Jaya Swarasa vs. Mitrabara Adiperdana PT |
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 Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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