Correlation Between Sumber Alfaria and PT UBC
Can any of the company-specific risk be diversified away by investing in both Sumber Alfaria and PT UBC 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 Sumber Alfaria and PT UBC into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sumber Alfaria Trijaya and PT UBC Medical, you can compare the effects of market volatilities on Sumber Alfaria and PT UBC 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 Sumber Alfaria with a short position of PT UBC. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sumber Alfaria and PT UBC.
Diversification Opportunities for Sumber Alfaria and PT UBC
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Sumber and LABS is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Sumber Alfaria Trijaya and PT UBC Medical in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PT UBC Medical and Sumber Alfaria 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 Sumber Alfaria Trijaya are associated (or correlated) with PT UBC. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PT UBC Medical has no effect on the direction of Sumber Alfaria i.e., Sumber Alfaria and PT UBC go up and down completely randomly.
Pair Corralation between Sumber Alfaria and PT UBC
Assuming the 90 days trading horizon Sumber Alfaria Trijaya is expected to generate 0.99 times more return on investment than PT UBC. However, Sumber Alfaria Trijaya is 1.01 times less risky than PT UBC. It trades about -0.31 of its potential returns per unit of risk. PT UBC Medical is currently generating about -0.32 per unit of risk. If you would invest 329,000 in Sumber Alfaria Trijaya on September 4, 2024 and sell it today you would lose (43,000) from holding Sumber Alfaria Trijaya or give up 13.07% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Sumber Alfaria Trijaya vs. PT UBC Medical
Performance |
Timeline |
Sumber Alfaria Trijaya |
PT UBC Medical |
Sumber Alfaria and PT UBC Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sumber Alfaria and PT UBC
The main advantage of trading using opposite Sumber Alfaria and PT UBC positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sumber Alfaria position performs unexpectedly, PT UBC 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 UBC will offset losses from the drop in PT UBC's long position.Sumber Alfaria vs. Astra International Tbk | Sumber Alfaria vs. Unilever Indonesia Tbk | Sumber Alfaria vs. Telkom Indonesia Tbk | Sumber Alfaria vs. Bank Mandiri Persero |
PT UBC vs. Chandra Asri Petrochemical | PT UBC vs. Bank Negara Indonesia | PT UBC vs. Sumber Alfaria Trijaya | PT UBC 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 Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.
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