Correlation Between Asia Pacific and Perdana Karya
Can any of the company-specific risk be diversified away by investing in both Asia Pacific and Perdana Karya 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 Asia Pacific and Perdana Karya into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Asia Pacific Fibers and Perdana Karya Perkasa, you can compare the effects of market volatilities on Asia Pacific and Perdana Karya 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 Asia Pacific with a short position of Perdana Karya. Check out your portfolio center. Please also check ongoing floating volatility patterns of Asia Pacific and Perdana Karya.
Diversification Opportunities for Asia Pacific and Perdana Karya
-0.56 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Asia and Perdana is -0.56. Overlapping area represents the amount of risk that can be diversified away by holding Asia Pacific Fibers and Perdana Karya Perkasa in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Perdana Karya Perkasa and Asia Pacific 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 Asia Pacific Fibers are associated (or correlated) with Perdana Karya. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Perdana Karya Perkasa has no effect on the direction of Asia Pacific i.e., Asia Pacific and Perdana Karya go up and down completely randomly.
Pair Corralation between Asia Pacific and Perdana Karya
Assuming the 90 days trading horizon Asia Pacific Fibers is expected to under-perform the Perdana Karya. In addition to that, Asia Pacific is 1.76 times more volatile than Perdana Karya Perkasa. It trades about -0.22 of its total potential returns per unit of risk. Perdana Karya Perkasa is currently generating about 0.07 per unit of volatility. If you would invest 78,500 in Perdana Karya Perkasa on December 30, 2024 and sell it today you would earn a total of 6,000 from holding Perdana Karya Perkasa or generate 7.64% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Asia Pacific Fibers vs. Perdana Karya Perkasa
Performance |
Timeline |
Asia Pacific Fibers |
Perdana Karya Perkasa |
Asia Pacific and Perdana Karya Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Asia Pacific and Perdana Karya
The main advantage of trading using opposite Asia Pacific and Perdana Karya positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Asia Pacific position performs unexpectedly, Perdana Karya 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 Perdana Karya will offset losses from the drop in Perdana Karya's long position.Asia Pacific vs. PT Sreeya Sewu | Asia Pacific vs. Multistrada Arah Sarana | Asia Pacific vs. Polychem Indonesia Tbk | Asia Pacific vs. Pan Brothers Tbk |
Perdana Karya vs. Radiant Utama Interinsco | Perdana Karya vs. Resource Alam Indonesia | Perdana Karya vs. Exploitasi Energi Indonesia | Perdana Karya vs. Asia Pacific Fibers |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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