Correlation Between PT Trimuda and Satria Antaran
Can any of the company-specific risk be diversified away by investing in both PT Trimuda and Satria Antaran 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 PT Trimuda and Satria Antaran into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PT Trimuda Nuansa and Satria Antaran Prima, you can compare the effects of market volatilities on PT Trimuda and Satria Antaran 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 PT Trimuda with a short position of Satria Antaran. Check out your portfolio center. Please also check ongoing floating volatility patterns of PT Trimuda and Satria Antaran.
Diversification Opportunities for PT Trimuda and Satria Antaran
0.27 | Correlation Coefficient |
Modest diversification
The 3 months correlation between TNCA and Satria is 0.27. Overlapping area represents the amount of risk that can be diversified away by holding PT Trimuda Nuansa and Satria Antaran Prima in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Satria Antaran Prima and PT Trimuda 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 PT Trimuda Nuansa are associated (or correlated) with Satria Antaran. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Satria Antaran Prima has no effect on the direction of PT Trimuda i.e., PT Trimuda and Satria Antaran go up and down completely randomly.
Pair Corralation between PT Trimuda and Satria Antaran
Assuming the 90 days trading horizon PT Trimuda Nuansa is expected to generate 2.14 times more return on investment than Satria Antaran. However, PT Trimuda is 2.14 times more volatile than Satria Antaran Prima. It trades about -0.01 of its potential returns per unit of risk. Satria Antaran Prima is currently generating about -0.1 per unit of risk. If you would invest 31,600 in PT Trimuda Nuansa on September 13, 2024 and sell it today you would lose (6,400) from holding PT Trimuda Nuansa or give up 20.25% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 97.67% |
Values | Daily Returns |
PT Trimuda Nuansa vs. Satria Antaran Prima
Performance |
Timeline |
PT Trimuda Nuansa |
Satria Antaran Prima |
PT Trimuda and Satria Antaran Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PT Trimuda and Satria Antaran
The main advantage of trading using opposite PT Trimuda and Satria Antaran positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PT Trimuda position performs unexpectedly, Satria Antaran 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 Satria Antaran will offset losses from the drop in Satria Antaran's long position.PT Trimuda vs. Jasa Armada Indonesia | PT Trimuda vs. Cikarang Listrindo Tbk | PT Trimuda vs. Mitra Pinasthika Mustika | PT Trimuda vs. Wijaya Karya Bangunan |
Satria Antaran vs. PT Trimuda Nuansa | Satria Antaran vs. Guna Timur Raya | Satria Antaran vs. Pelayaran Nelly Dwi | Satria Antaran vs. Krida Jaringan Nusantara |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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