Correlation Between Buyung Poetra and Steel Pipe
Can any of the company-specific risk be diversified away by investing in both Buyung Poetra and Steel Pipe 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 Buyung Poetra and Steel Pipe into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Buyung Poetra Sembada and Steel Pipe Industry, you can compare the effects of market volatilities on Buyung Poetra and Steel Pipe 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 Buyung Poetra with a short position of Steel Pipe. Check out your portfolio center. Please also check ongoing floating volatility patterns of Buyung Poetra and Steel Pipe.
Diversification Opportunities for Buyung Poetra and Steel Pipe
0.47 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Buyung and Steel is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding Buyung Poetra Sembada and Steel Pipe Industry in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Steel Pipe Industry and Buyung Poetra 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 Buyung Poetra Sembada are associated (or correlated) with Steel Pipe. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Steel Pipe Industry has no effect on the direction of Buyung Poetra i.e., Buyung Poetra and Steel Pipe go up and down completely randomly.
Pair Corralation between Buyung Poetra and Steel Pipe
Assuming the 90 days trading horizon Buyung Poetra Sembada is expected to generate 6.6 times more return on investment than Steel Pipe. However, Buyung Poetra is 6.6 times more volatile than Steel Pipe Industry. It trades about 0.1 of its potential returns per unit of risk. Steel Pipe Industry is currently generating about -0.37 per unit of risk. If you would invest 11,300 in Buyung Poetra Sembada on September 1, 2024 and sell it today you would earn a total of 1,100 from holding Buyung Poetra Sembada or generate 9.73% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 95.45% |
| Values | Daily Returns |
Buyung Poetra Sembada vs. Steel Pipe Industry
Performance |
| Timeline |
| Buyung Poetra Sembada |
| Steel Pipe Industry |
Buyung Poetra and Steel Pipe Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Buyung Poetra and Steel Pipe
The main advantage of trading using opposite Buyung Poetra and Steel Pipe positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Buyung Poetra position performs unexpectedly, Steel Pipe 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 Steel Pipe will offset losses from the drop in Steel Pipe's long position.| Buyung Poetra vs. Integra Indocabinet Tbk | Buyung Poetra vs. Sariguna Primatirta PT | Buyung Poetra vs. Erajaya Swasembada Tbk | Buyung Poetra vs. Puradelta Lestari PT |
| Steel Pipe vs. Perusahaan Gas Negara | Steel Pipe vs. Vale Indonesia Tbk | Steel Pipe vs. Telkom Indonesia Tbk | Steel Pipe vs. Mitra Pinasthika Mustika |
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 Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
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