Correlation Between Paramita Bangun and Pratama Widya
Can any of the company-specific risk be diversified away by investing in both Paramita Bangun and Pratama Widya 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 Paramita Bangun and Pratama Widya into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Paramita Bangun Sarana and Pratama Widya Tbk, you can compare the effects of market volatilities on Paramita Bangun and Pratama Widya 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 Paramita Bangun with a short position of Pratama Widya. Check out your portfolio center. Please also check ongoing floating volatility patterns of Paramita Bangun and Pratama Widya.
Diversification Opportunities for Paramita Bangun and Pratama Widya
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Paramita and Pratama is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding Paramita Bangun Sarana and Pratama Widya Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pratama Widya Tbk and Paramita Bangun 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 Paramita Bangun Sarana are associated (or correlated) with Pratama Widya. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pratama Widya Tbk has no effect on the direction of Paramita Bangun i.e., Paramita Bangun and Pratama Widya go up and down completely randomly.
Pair Corralation between Paramita Bangun and Pratama Widya
Assuming the 90 days trading horizon Paramita Bangun Sarana is expected to under-perform the Pratama Widya. In addition to that, Paramita Bangun is 3.69 times more volatile than Pratama Widya Tbk. It trades about -0.02 of its total potential returns per unit of risk. Pratama Widya Tbk is currently generating about -0.04 per unit of volatility. If you would invest 85,000 in Pratama Widya Tbk on December 24, 2024 and sell it today you would lose (1,500) from holding Pratama Widya Tbk or give up 1.76% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Paramita Bangun Sarana vs. Pratama Widya Tbk
Performance |
Timeline |
Paramita Bangun Sarana |
Pratama Widya Tbk |
Paramita Bangun and Pratama Widya Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Paramita Bangun and Pratama Widya
The main advantage of trading using opposite Paramita Bangun and Pratama Widya positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Paramita Bangun position performs unexpectedly, Pratama Widya 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 Pratama Widya will offset losses from the drop in Pratama Widya's long position.Paramita Bangun vs. Nusa Raya Cipta | Paramita Bangun vs. Indonesia Pondasi Raya | Paramita Bangun vs. Pelayaran Nelly Dwi | Paramita Bangun vs. PP Presisi Tbk |
Pratama Widya vs. Kencana Energi Lestari | Pratama Widya vs. Pelita Samudera Shipping | Pratama Widya vs. Paramita Bangun Sarana | Pratama Widya vs. Dana Brata Luhur |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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