Correlation Between Dana Brata and Paramita Bangun
Can any of the company-specific risk be diversified away by investing in both Dana Brata and Paramita Bangun 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 Dana Brata and Paramita Bangun into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dana Brata Luhur and Paramita Bangun Sarana, you can compare the effects of market volatilities on Dana Brata and Paramita Bangun 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 Dana Brata with a short position of Paramita Bangun. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dana Brata and Paramita Bangun.
Diversification Opportunities for Dana Brata and Paramita Bangun
0.1 | Correlation Coefficient |
Average diversification
The 3 months correlation between Dana and Paramita is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding Dana Brata Luhur and Paramita Bangun Sarana in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Paramita Bangun Sarana and Dana Brata 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 Dana Brata Luhur are associated (or correlated) with Paramita Bangun. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Paramita Bangun Sarana has no effect on the direction of Dana Brata i.e., Dana Brata and Paramita Bangun go up and down completely randomly.
Pair Corralation between Dana Brata and Paramita Bangun
Assuming the 90 days trading horizon Dana Brata is expected to generate 267.21 times less return on investment than Paramita Bangun. But when comparing it to its historical volatility, Dana Brata Luhur is 2.7 times less risky than Paramita Bangun. It trades about 0.0 of its potential returns per unit of risk. Paramita Bangun Sarana is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 29,200 in Paramita Bangun Sarana on October 26, 2024 and sell it today you would earn a total of 6,800 from holding Paramita Bangun Sarana or generate 23.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 98.33% |
Values | Daily Returns |
Dana Brata Luhur vs. Paramita Bangun Sarana
Performance |
Timeline |
Dana Brata Luhur |
Paramita Bangun Sarana |
Dana Brata and Paramita Bangun Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dana Brata and Paramita Bangun
The main advantage of trading using opposite Dana Brata and Paramita Bangun positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dana Brata position performs unexpectedly, Paramita Bangun 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 Paramita Bangun will offset losses from the drop in Paramita Bangun's long position.Dana Brata vs. Pelita Samudera Shipping | Dana Brata vs. Trans Power Marine | Dana Brata vs. Kencana Energi Lestari | Dana Brata vs. Pelayaran Nelly Dwi |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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