Correlation Between PT Buana and Pembangunan Graha
Can any of the company-specific risk be diversified away by investing in both PT Buana and Pembangunan Graha 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 Buana and Pembangunan Graha into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PT Buana Artha and Pembangunan Graha Lestari, you can compare the effects of market volatilities on PT Buana and Pembangunan Graha 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 Buana with a short position of Pembangunan Graha. Check out your portfolio center. Please also check ongoing floating volatility patterns of PT Buana and Pembangunan Graha.
Diversification Opportunities for PT Buana and Pembangunan Graha
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between STAR and Pembangunan is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding PT Buana Artha and Pembangunan Graha Lestari in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Pembangunan Graha Lestari and PT Buana 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 Buana Artha are associated (or correlated) with Pembangunan Graha. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Pembangunan Graha Lestari has no effect on the direction of PT Buana i.e., PT Buana and Pembangunan Graha go up and down completely randomly.
Pair Corralation between PT Buana and Pembangunan Graha
Assuming the 90 days trading horizon PT Buana Artha is expected to under-perform the Pembangunan Graha. But the stock apears to be less risky and, when comparing its historical volatility, PT Buana Artha is 2.04 times less risky than Pembangunan Graha. The stock trades about -0.14 of its potential returns per unit of risk. The Pembangunan Graha Lestari is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 14,600 in Pembangunan Graha Lestari on September 16, 2024 and sell it today you would earn a total of 3,300 from holding Pembangunan Graha Lestari or generate 22.6% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 99.57% |
Values | Daily Returns |
PT Buana Artha vs. Pembangunan Graha Lestari
Performance |
Timeline |
PT Buana Artha |
Pembangunan Graha Lestari |
PT Buana and Pembangunan Graha Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PT Buana and Pembangunan Graha
The main advantage of trading using opposite PT Buana and Pembangunan Graha positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PT Buana position performs unexpectedly, Pembangunan Graha 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 Pembangunan Graha will offset losses from the drop in Pembangunan Graha's long position.PT Buana vs. Pembangunan Graha Lestari | PT Buana vs. Pembangunan Jaya Ancol | PT Buana vs. Hotel Sahid Jaya | PT Buana vs. Mitrabara Adiperdana PT |
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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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