Correlation Between PT Indofood and Asia Pacific
Can any of the company-specific risk be diversified away by investing in both PT Indofood and Asia Pacific 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 Indofood and Asia Pacific into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PT Indofood Sukses and Asia Pacific Fibers, you can compare the effects of market volatilities on PT Indofood and Asia Pacific 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 Indofood with a short position of Asia Pacific. Check out your portfolio center. Please also check ongoing floating volatility patterns of PT Indofood and Asia Pacific.
Diversification Opportunities for PT Indofood and Asia Pacific
-0.86 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between INDF and Asia is -0.86. Overlapping area represents the amount of risk that can be diversified away by holding PT Indofood Sukses and Asia Pacific Fibers in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Asia Pacific Fibers and PT Indofood 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 Indofood Sukses are associated (or correlated) with Asia Pacific. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Asia Pacific Fibers has no effect on the direction of PT Indofood i.e., PT Indofood and Asia Pacific go up and down completely randomly.
Pair Corralation between PT Indofood and Asia Pacific
Assuming the 90 days trading horizon PT Indofood Sukses is expected to generate 0.38 times more return on investment than Asia Pacific. However, PT Indofood Sukses is 2.61 times less risky than Asia Pacific. It trades about 0.13 of its potential returns per unit of risk. Asia Pacific Fibers is currently generating about -0.13 per unit of risk. If you would invest 670,000 in PT Indofood Sukses on September 4, 2024 and sell it today you would earn a total of 82,500 from holding PT Indofood Sukses or generate 12.31% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 98.41% |
Values | Daily Returns |
PT Indofood Sukses vs. Asia Pacific Fibers
Performance |
Timeline |
PT Indofood Sukses |
Asia Pacific Fibers |
PT Indofood and Asia Pacific Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PT Indofood and Asia Pacific
The main advantage of trading using opposite PT Indofood and Asia Pacific positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PT Indofood position performs unexpectedly, Asia Pacific 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 Asia Pacific will offset losses from the drop in Asia Pacific's long position.PT Indofood vs. Astra International Tbk | PT Indofood vs. Unilever Indonesia Tbk | PT Indofood vs. Telkom Indonesia Tbk | PT Indofood vs. Bank Mandiri Persero |
Asia Pacific vs. Jakarta Int Hotels | Asia Pacific vs. Asuransi Harta Aman | Asia Pacific vs. Indosterling Technomedia Tbk | Asia Pacific vs. Indosat Tbk |
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 Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..
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