Correlation Between Borneo Olah and Dwi Guna
Can any of the company-specific risk be diversified away by investing in both Borneo Olah and Dwi Guna 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 Borneo Olah and Dwi Guna into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Borneo Olah Sarana and Dwi Guna Laksana, you can compare the effects of market volatilities on Borneo Olah and Dwi Guna 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 Borneo Olah with a short position of Dwi Guna. Check out your portfolio center. Please also check ongoing floating volatility patterns of Borneo Olah and Dwi Guna.
Diversification Opportunities for Borneo Olah and Dwi Guna
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Borneo and Dwi is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Borneo Olah Sarana and Dwi Guna Laksana in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dwi Guna Laksana and Borneo Olah 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 Borneo Olah Sarana are associated (or correlated) with Dwi Guna. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dwi Guna Laksana has no effect on the direction of Borneo Olah i.e., Borneo Olah and Dwi Guna go up and down completely randomly.
Pair Corralation between Borneo Olah and Dwi Guna
If you would invest 10,600 in Dwi Guna Laksana on September 13, 2024 and sell it today you would earn a total of 17,000 from holding Dwi Guna Laksana or generate 160.38% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Borneo Olah Sarana vs. Dwi Guna Laksana
Performance |
Timeline |
Borneo Olah Sarana |
Dwi Guna Laksana |
Borneo Olah and Dwi Guna Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Borneo Olah and Dwi Guna
The main advantage of trading using opposite Borneo Olah and Dwi Guna positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Borneo Olah position performs unexpectedly, Dwi Guna 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 Dwi Guna will offset losses from the drop in Dwi Guna's long position.Borneo Olah vs. Alfa Energi Investama | Borneo Olah vs. Atlas Resources Tbk | Borneo Olah vs. Baramulti Suksessarana Tbk | Borneo Olah vs. Kapuas Prima Coal |
Dwi Guna vs. Harum Energy Tbk | Dwi Guna vs. Delta Dunia Makmur | Dwi Guna vs. Adi Sarana Armada | Dwi Guna vs. Elang Mahkota Teknologi |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
Other Complementary Tools
Bonds Directory Find actively traded corporate debentures issued by US companies | |
Money Managers Screen money managers from public funds and ETFs managed around the world | |
Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges |