Correlation Between PT Astra and Agfa-Gevaert
Can any of the company-specific risk be diversified away by investing in both PT Astra and Agfa-Gevaert 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 Astra and Agfa-Gevaert into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PT Astra International and Agfa Gevaert NV, you can compare the effects of market volatilities on PT Astra and Agfa-Gevaert 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 Astra with a short position of Agfa-Gevaert. Check out your portfolio center. Please also check ongoing floating volatility patterns of PT Astra and Agfa-Gevaert.
Diversification Opportunities for PT Astra and Agfa-Gevaert
-0.56 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between PTAIF and Agfa-Gevaert is -0.56. Overlapping area represents the amount of risk that can be diversified away by holding PT Astra International and Agfa Gevaert NV in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Agfa Gevaert NV and PT Astra 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 Astra International are associated (or correlated) with Agfa-Gevaert. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Agfa Gevaert NV has no effect on the direction of PT Astra i.e., PT Astra and Agfa-Gevaert go up and down completely randomly.
Pair Corralation between PT Astra and Agfa-Gevaert
Assuming the 90 days horizon PT Astra International is expected to generate 0.54 times more return on investment than Agfa-Gevaert. However, PT Astra International is 1.86 times less risky than Agfa-Gevaert. It trades about 0.17 of its potential returns per unit of risk. Agfa Gevaert NV is currently generating about -0.1 per unit of risk. If you would invest 25.00 in PT Astra International on September 3, 2024 and sell it today you would earn a total of 12.00 from holding PT Astra International or generate 48.0% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
PT Astra International vs. Agfa Gevaert NV
Performance |
| Timeline |
| PT Astra International |
| Agfa Gevaert NV |
PT Astra and Agfa-Gevaert Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with PT Astra and Agfa-Gevaert
The main advantage of trading using opposite PT Astra and Agfa-Gevaert positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PT Astra position performs unexpectedly, Agfa-Gevaert 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 Agfa-Gevaert will offset losses from the drop in Agfa-Gevaert's long position.| PT Astra vs. Allison Transmission Holdings | PT Astra vs. Luminar Technologies | PT Astra vs. Quantumscape Corp | PT Astra vs. Lear Corporation |
| Agfa-Gevaert vs. Enerpac Tool Group | Agfa-Gevaert vs. Omega Flex | Agfa-Gevaert vs. Luxfer Holdings PLC | Agfa-Gevaert vs. Gorman Rupp |
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 Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.
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