Correlation Between Sido Muncul and Perusahaan Gas
Can any of the company-specific risk be diversified away by investing in both Sido Muncul and Perusahaan Gas 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 Sido Muncul and Perusahaan Gas into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sido Muncul PT and Perusahaan Gas Negara, you can compare the effects of market volatilities on Sido Muncul and Perusahaan Gas 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 Sido Muncul with a short position of Perusahaan Gas. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sido Muncul and Perusahaan Gas.
Diversification Opportunities for Sido Muncul and Perusahaan Gas
-0.4 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Sido and Perusahaan is -0.4. Overlapping area represents the amount of risk that can be diversified away by holding Sido Muncul PT and Perusahaan Gas Negara in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Perusahaan Gas Negara and Sido Muncul 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 Sido Muncul PT are associated (or correlated) with Perusahaan Gas. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Perusahaan Gas Negara has no effect on the direction of Sido Muncul i.e., Sido Muncul and Perusahaan Gas go up and down completely randomly.
Pair Corralation between Sido Muncul and Perusahaan Gas
Assuming the 90 days trading horizon Sido Muncul PT is expected to under-perform the Perusahaan Gas. In addition to that, Sido Muncul is 1.05 times more volatile than Perusahaan Gas Negara. It trades about -0.12 of its total potential returns per unit of risk. Perusahaan Gas Negara is currently generating about 0.05 per unit of volatility. If you would invest 148,000 in Perusahaan Gas Negara on September 26, 2024 and sell it today you would earn a total of 7,500 from holding Perusahaan Gas Negara or generate 5.07% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Sido Muncul PT vs. Perusahaan Gas Negara
Performance |
Timeline |
Sido Muncul PT |
Perusahaan Gas Negara |
Sido Muncul and Perusahaan Gas Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sido Muncul and Perusahaan Gas
The main advantage of trading using opposite Sido Muncul and Perusahaan Gas positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sido Muncul position performs unexpectedly, Perusahaan Gas 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 Perusahaan Gas will offset losses from the drop in Perusahaan Gas' long position.Sido Muncul vs. Sariguna Primatirta PT | Sido Muncul vs. Ultra Jaya Milk | Sido Muncul vs. Nippon Indosari Corpindo | Sido Muncul vs. Kino Indonesia Tbk |
Perusahaan Gas vs. Mitra Pinasthika Mustika | Perusahaan Gas vs. PT Sarana Menara | Perusahaan Gas vs. Sido Muncul PT | Perusahaan Gas vs. Integra Indocabinet Tbk |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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