Correlation Between PT Bukalapak and Sumber Global
Can any of the company-specific risk be diversified away by investing in both PT Bukalapak and Sumber Global 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 Bukalapak and Sumber Global into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PT Bukalapak and Sumber Global Energy, you can compare the effects of market volatilities on PT Bukalapak and Sumber Global 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 Bukalapak with a short position of Sumber Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of PT Bukalapak and Sumber Global.
Diversification Opportunities for PT Bukalapak and Sumber Global
-0.08 | Correlation Coefficient |
Good diversification
The 3 months correlation between BUKA and Sumber is -0.08. Overlapping area represents the amount of risk that can be diversified away by holding PT Bukalapak and Sumber Global Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sumber Global Energy and PT Bukalapak 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 Bukalapak are associated (or correlated) with Sumber Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sumber Global Energy has no effect on the direction of PT Bukalapak i.e., PT Bukalapak and Sumber Global go up and down completely randomly.
Pair Corralation between PT Bukalapak and Sumber Global
Assuming the 90 days trading horizon PT Bukalapak is expected to generate 1.19 times more return on investment than Sumber Global. However, PT Bukalapak is 1.19 times more volatile than Sumber Global Energy. It trades about 0.05 of its potential returns per unit of risk. Sumber Global Energy is currently generating about -0.1 per unit of risk. If you would invest 11,700 in PT Bukalapak on September 16, 2024 and sell it today you would earn a total of 1,000.00 from holding PT Bukalapak or generate 8.55% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
PT Bukalapak vs. Sumber Global Energy
Performance |
Timeline |
PT Bukalapak |
Sumber Global Energy |
PT Bukalapak and Sumber Global Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PT Bukalapak and Sumber Global
The main advantage of trading using opposite PT Bukalapak and Sumber Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PT Bukalapak position performs unexpectedly, Sumber Global 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 Sumber Global will offset losses from the drop in Sumber Global's long position.PT Bukalapak vs. GoTo Gojek Tokopedia | PT Bukalapak vs. Elang Mahkota Teknologi | PT Bukalapak vs. Bank Artos Indonesia | PT Bukalapak vs. Merdeka Copper Gold |
Sumber Global vs. Bank Artos Indonesia | Sumber Global vs. GoTo Gojek Tokopedia | Sumber Global vs. Elang Mahkota Teknologi | Sumber Global vs. PT Bukalapak |
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 Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
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