Correlation Between PT Bukalapak and Wulandari Bangun
Can any of the company-specific risk be diversified away by investing in both PT Bukalapak and Wulandari 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 PT Bukalapak and Wulandari Bangun into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PT Bukalapak and Wulandari Bangun Laksana, you can compare the effects of market volatilities on PT Bukalapak and Wulandari 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 PT Bukalapak with a short position of Wulandari Bangun. Check out your portfolio center. Please also check ongoing floating volatility patterns of PT Bukalapak and Wulandari Bangun.
Diversification Opportunities for PT Bukalapak and Wulandari Bangun
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between BUKA and Wulandari is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding PT Bukalapak and Wulandari Bangun Laksana in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wulandari Bangun Laksana 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 Wulandari Bangun. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wulandari Bangun Laksana has no effect on the direction of PT Bukalapak i.e., PT Bukalapak and Wulandari Bangun go up and down completely randomly.
Pair Corralation between PT Bukalapak and Wulandari Bangun
Assuming the 90 days trading horizon PT Bukalapak is expected to generate 1.77 times more return on investment than Wulandari Bangun. However, PT Bukalapak is 1.77 times more volatile than Wulandari Bangun Laksana. It trades about 0.05 of its potential returns per unit of risk. Wulandari Bangun Laksana is currently generating about -0.09 per unit of risk. If you would invest 11,500 in PT Bukalapak on September 19, 2024 and sell it today you would earn a total of 900.00 from holding PT Bukalapak or generate 7.83% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
PT Bukalapak vs. Wulandari Bangun Laksana
Performance |
Timeline |
PT Bukalapak |
Wulandari Bangun Laksana |
PT Bukalapak and Wulandari Bangun Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PT Bukalapak and Wulandari Bangun
The main advantage of trading using opposite PT Bukalapak and Wulandari Bangun positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PT Bukalapak position performs unexpectedly, Wulandari 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 Wulandari Bangun will offset losses from the drop in Wulandari Bangun'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 |
Wulandari Bangun vs. Adaro Minerals Indonesia | Wulandari Bangun vs. Autopedia Sukses Lestari | Wulandari Bangun vs. PT Bukalapak | Wulandari Bangun vs. Widodo Makmur Perkasa |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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