Correlation Between Saratoga Investama and Elang Mahkota
Can any of the company-specific risk be diversified away by investing in both Saratoga Investama and Elang Mahkota 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 Saratoga Investama and Elang Mahkota into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Saratoga Investama Sedaya and Elang Mahkota Teknologi, you can compare the effects of market volatilities on Saratoga Investama and Elang Mahkota 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 Saratoga Investama with a short position of Elang Mahkota. Check out your portfolio center. Please also check ongoing floating volatility patterns of Saratoga Investama and Elang Mahkota.
Diversification Opportunities for Saratoga Investama and Elang Mahkota
-0.23 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Saratoga and Elang is -0.23. Overlapping area represents the amount of risk that can be diversified away by holding Saratoga Investama Sedaya and Elang Mahkota Teknologi in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Elang Mahkota Teknologi and Saratoga Investama 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 Saratoga Investama Sedaya are associated (or correlated) with Elang Mahkota. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Elang Mahkota Teknologi has no effect on the direction of Saratoga Investama i.e., Saratoga Investama and Elang Mahkota go up and down completely randomly.
Pair Corralation between Saratoga Investama and Elang Mahkota
Assuming the 90 days trading horizon Saratoga Investama Sedaya is expected to generate 0.99 times more return on investment than Elang Mahkota. However, Saratoga Investama Sedaya is 1.01 times less risky than Elang Mahkota. It trades about 0.0 of its potential returns per unit of risk. Elang Mahkota Teknologi is currently generating about -0.01 per unit of risk. If you would invest 220,407 in Saratoga Investama Sedaya on November 20, 2024 and sell it today you would lose (31,407) from holding Saratoga Investama Sedaya or give up 14.25% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Saratoga Investama Sedaya vs. Elang Mahkota Teknologi
Performance |
Timeline |
Saratoga Investama Sedaya |
Elang Mahkota Teknologi |
Saratoga Investama and Elang Mahkota Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Saratoga Investama and Elang Mahkota
The main advantage of trading using opposite Saratoga Investama and Elang Mahkota positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Saratoga Investama position performs unexpectedly, Elang Mahkota 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 Elang Mahkota will offset losses from the drop in Elang Mahkota's long position.Saratoga Investama vs. Elang Mahkota Teknologi | Saratoga Investama vs. Mitra Pinasthika Mustika | Saratoga Investama vs. Tower Bersama Infrastructure | Saratoga Investama vs. Merdeka Copper Gold |
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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 Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
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