Correlation Between PT Primadaya and Menthobi Karyatama
Can any of the company-specific risk be diversified away by investing in both PT Primadaya and Menthobi Karyatama 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 Primadaya and Menthobi Karyatama into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PT Primadaya Plastisindo and Menthobi Karyatama Raya, you can compare the effects of market volatilities on PT Primadaya and Menthobi Karyatama 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 Primadaya with a short position of Menthobi Karyatama. Check out your portfolio center. Please also check ongoing floating volatility patterns of PT Primadaya and Menthobi Karyatama.
Diversification Opportunities for PT Primadaya and Menthobi Karyatama
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between PDPP and Menthobi is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding PT Primadaya Plastisindo and Menthobi Karyatama Raya in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Menthobi Karyatama Raya and PT Primadaya 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 Primadaya Plastisindo are associated (or correlated) with Menthobi Karyatama. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Menthobi Karyatama Raya has no effect on the direction of PT Primadaya i.e., PT Primadaya and Menthobi Karyatama go up and down completely randomly.
Pair Corralation between PT Primadaya and Menthobi Karyatama
Assuming the 90 days trading horizon PT Primadaya Plastisindo is expected to generate 2.75 times more return on investment than Menthobi Karyatama. However, PT Primadaya is 2.75 times more volatile than Menthobi Karyatama Raya. It trades about 0.25 of its potential returns per unit of risk. Menthobi Karyatama Raya is currently generating about 0.13 per unit of risk. If you would invest 48,600 in PT Primadaya Plastisindo on October 22, 2024 and sell it today you would earn a total of 4,400 from holding PT Primadaya Plastisindo or generate 9.05% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
PT Primadaya Plastisindo vs. Menthobi Karyatama Raya
Performance |
Timeline |
PT Primadaya Plastisindo |
Menthobi Karyatama Raya |
PT Primadaya and Menthobi Karyatama Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PT Primadaya and Menthobi Karyatama
The main advantage of trading using opposite PT Primadaya and Menthobi Karyatama positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PT Primadaya position performs unexpectedly, Menthobi Karyatama 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 Menthobi Karyatama will offset losses from the drop in Menthobi Karyatama's long position.PT Primadaya vs. Guna Timur Raya | PT Primadaya vs. PT Trimuda Nuansa | PT Primadaya vs. HK Metals Utama | PT Primadaya vs. Royal Prima PT |
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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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