Correlation Between Triputra Agro and PT Bukalapak
Can any of the company-specific risk be diversified away by investing in both Triputra Agro and PT Bukalapak 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 Triputra Agro and PT Bukalapak into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Triputra Agro Persada and PT Bukalapak, you can compare the effects of market volatilities on Triputra Agro and PT Bukalapak 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 Triputra Agro with a short position of PT Bukalapak. Check out your portfolio center. Please also check ongoing floating volatility patterns of Triputra Agro and PT Bukalapak.
Diversification Opportunities for Triputra Agro and PT Bukalapak
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Triputra and BUKA is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding Triputra Agro Persada and PT Bukalapak in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PT Bukalapak and Triputra Agro 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 Triputra Agro Persada are associated (or correlated) with PT Bukalapak. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PT Bukalapak has no effect on the direction of Triputra Agro i.e., Triputra Agro and PT Bukalapak go up and down completely randomly.
Pair Corralation between Triputra Agro and PT Bukalapak
Assuming the 90 days trading horizon Triputra Agro Persada is expected to under-perform the PT Bukalapak. In addition to that, Triputra Agro is 1.27 times more volatile than PT Bukalapak. It trades about -0.2 of its total potential returns per unit of risk. PT Bukalapak is currently generating about 0.07 per unit of volatility. If you would invest 12,400 in PT Bukalapak on September 15, 2024 and sell it today you would earn a total of 300.00 from holding PT Bukalapak or generate 2.42% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Triputra Agro Persada vs. PT Bukalapak
Performance |
Timeline |
Triputra Agro Persada |
PT Bukalapak |
Triputra Agro and PT Bukalapak Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Triputra Agro and PT Bukalapak
The main advantage of trading using opposite Triputra Agro and PT Bukalapak positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Triputra Agro position performs unexpectedly, PT Bukalapak 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 PT Bukalapak will offset losses from the drop in PT Bukalapak's long position.Triputra Agro vs. Mahkota Group Tbk | Triputra Agro vs. Palma Serasih PT | Triputra Agro vs. Cisadane Sawit Raya | Triputra Agro vs. Diamond Food Indonesia |
PT Bukalapak vs. GoTo Gojek Tokopedia | PT Bukalapak vs. Elang Mahkota Teknologi | PT Bukalapak vs. Bank Artos Indonesia | PT Bukalapak vs. Merdeka Copper Gold |
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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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