Correlation Between PT Bukalapak and Triputra Agro
Can any of the company-specific risk be diversified away by investing in both PT Bukalapak and Triputra Agro 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 Triputra Agro into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PT Bukalapak and Triputra Agro Persada, you can compare the effects of market volatilities on PT Bukalapak and Triputra Agro 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 Triputra Agro. Check out your portfolio center. Please also check ongoing floating volatility patterns of PT Bukalapak and Triputra Agro.
Diversification Opportunities for PT Bukalapak and Triputra Agro
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between BUKA and Triputra is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding PT Bukalapak and Triputra Agro Persada in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Triputra Agro Persada 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 Triputra Agro. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Triputra Agro Persada has no effect on the direction of PT Bukalapak i.e., PT Bukalapak and Triputra Agro go up and down completely randomly.
Pair Corralation between PT Bukalapak and Triputra Agro
Assuming the 90 days trading horizon PT Bukalapak is expected to generate 0.79 times more return on investment than Triputra Agro. However, PT Bukalapak is 1.27 times less risky than Triputra Agro. It trades about 0.07 of its potential returns per unit of risk. Triputra Agro Persada is currently generating about -0.2 per unit of risk. 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 |
PT Bukalapak vs. Triputra Agro Persada
Performance |
Timeline |
PT Bukalapak |
Triputra Agro Persada |
PT Bukalapak and Triputra Agro Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PT Bukalapak and Triputra Agro
The main advantage of trading using opposite PT Bukalapak and Triputra Agro positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PT Bukalapak position performs unexpectedly, Triputra Agro 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 Triputra Agro will offset losses from the drop in Triputra Agro'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 |
Triputra Agro vs. Mahkota Group Tbk | Triputra Agro vs. Palma Serasih PT | Triputra Agro vs. Cisadane Sawit Raya | Triputra Agro vs. Diamond Food Indonesia |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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