Correlation Between Semen Indonesia and Steel Pipe
Can any of the company-specific risk be diversified away by investing in both Semen Indonesia 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 Semen Indonesia and Steel Pipe into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Semen Indonesia Persero and Steel Pipe Industry, you can compare the effects of market volatilities on Semen Indonesia 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 Semen Indonesia with a short position of Steel Pipe. Check out your portfolio center. Please also check ongoing floating volatility patterns of Semen Indonesia and Steel Pipe.
Diversification Opportunities for Semen Indonesia and Steel Pipe
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Semen and Steel is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding Semen Indonesia Persero 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 Semen Indonesia 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 Semen Indonesia Persero 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 Semen Indonesia i.e., Semen Indonesia and Steel Pipe go up and down completely randomly.
Pair Corralation between Semen Indonesia and Steel Pipe
Assuming the 90 days trading horizon Semen Indonesia Persero is expected to under-perform the Steel Pipe. In addition to that, Semen Indonesia is 2.33 times more volatile than Steel Pipe Industry. It trades about -0.11 of its total potential returns per unit of risk. Steel Pipe Industry is currently generating about -0.06 per unit of volatility. If you would invest 30,000 in Steel Pipe Industry on September 12, 2024 and sell it today you would lose (1,200) from holding Steel Pipe Industry or give up 4.0% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Semen Indonesia Persero vs. Steel Pipe Industry
Performance |
Timeline |
Semen Indonesia Persero |
Steel Pipe Industry |
Semen Indonesia and Steel Pipe Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Semen Indonesia and Steel Pipe
The main advantage of trading using opposite Semen Indonesia and Steel Pipe positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Semen Indonesia 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.Semen Indonesia vs. Indocement Tunggal Prakarsa | Semen Indonesia vs. United Tractors Tbk | Semen Indonesia vs. Jasa Marga Tbk | Semen Indonesia vs. PT Indofood Sukses |
Steel Pipe vs. Kedaung Indah Can | Steel Pipe vs. Kabelindo Murni Tbk | Steel Pipe vs. Champion Pacific Indonesia | Steel Pipe vs. Bhuwanatala Indah Permai |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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