Correlation Between Garuda Metalindo and Ristia Bintang
Can any of the company-specific risk be diversified away by investing in both Garuda Metalindo and Ristia Bintang 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 Garuda Metalindo and Ristia Bintang into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Garuda Metalindo Tbk and Ristia Bintang Mahkotasejati, you can compare the effects of market volatilities on Garuda Metalindo and Ristia Bintang 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 Garuda Metalindo with a short position of Ristia Bintang. Check out your portfolio center. Please also check ongoing floating volatility patterns of Garuda Metalindo and Ristia Bintang.
Diversification Opportunities for Garuda Metalindo and Ristia Bintang
0.46 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Garuda and Ristia is 0.46. Overlapping area represents the amount of risk that can be diversified away by holding Garuda Metalindo Tbk and Ristia Bintang Mahkotasejati in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ristia Bintang Mahko and Garuda Metalindo 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 Garuda Metalindo Tbk are associated (or correlated) with Ristia Bintang. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ristia Bintang Mahko has no effect on the direction of Garuda Metalindo i.e., Garuda Metalindo and Ristia Bintang go up and down completely randomly.
Pair Corralation between Garuda Metalindo and Ristia Bintang
Assuming the 90 days trading horizon Garuda Metalindo Tbk is expected to generate 0.88 times more return on investment than Ristia Bintang. However, Garuda Metalindo Tbk is 1.13 times less risky than Ristia Bintang. It trades about 0.08 of its potential returns per unit of risk. Ristia Bintang Mahkotasejati is currently generating about -0.04 per unit of risk. If you would invest 69,309 in Garuda Metalindo Tbk on September 17, 2024 and sell it today you would earn a total of 60,691 from holding Garuda Metalindo Tbk or generate 87.57% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 99.79% |
Values | Daily Returns |
Garuda Metalindo Tbk vs. Ristia Bintang Mahkotasejati
Performance |
Timeline |
Garuda Metalindo Tbk |
Ristia Bintang Mahko |
Garuda Metalindo and Ristia Bintang Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Garuda Metalindo and Ristia Bintang
The main advantage of trading using opposite Garuda Metalindo and Ristia Bintang positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Garuda Metalindo position performs unexpectedly, Ristia Bintang 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 Ristia Bintang will offset losses from the drop in Ristia Bintang's long position.Garuda Metalindo vs. PT Indonesia Kendaraan | Garuda Metalindo vs. Surya Toto Indonesia | Garuda Metalindo vs. Mitra Pinasthika Mustika | Garuda Metalindo vs. Integra Indocabinet Tbk |
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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 Portfolio Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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