Correlation Between Jakarta Int and Asia Pacific
Can any of the company-specific risk be diversified away by investing in both Jakarta Int 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 Jakarta Int and Asia Pacific into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Jakarta Int Hotels and Asia Pacific Fibers, you can compare the effects of market volatilities on Jakarta Int 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 Jakarta Int with a short position of Asia Pacific. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jakarta Int and Asia Pacific.
Diversification Opportunities for Jakarta Int and Asia Pacific
-0.64 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Jakarta and Asia is -0.64. Overlapping area represents the amount of risk that can be diversified away by holding Jakarta Int Hotels 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 Jakarta Int 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 Jakarta Int Hotels 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 Jakarta Int i.e., Jakarta Int and Asia Pacific go up and down completely randomly.
Pair Corralation between Jakarta Int and Asia Pacific
Assuming the 90 days trading horizon Jakarta Int Hotels is expected to generate 2.21 times more return on investment than Asia Pacific. However, Jakarta Int is 2.21 times more volatile than Asia Pacific Fibers. It trades about 0.43 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 33,800 in Jakarta Int Hotels on September 3, 2024 and sell it today you would earn a total of 263,200 from holding Jakarta Int Hotels or generate 778.7% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Jakarta Int Hotels vs. Asia Pacific Fibers
Performance |
Timeline |
Jakarta Int Hotels |
Asia Pacific Fibers |
Jakarta Int and Asia Pacific Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jakarta Int and Asia Pacific
The main advantage of trading using opposite Jakarta Int and Asia Pacific positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jakarta Int 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.Jakarta Int vs. Mitra Pinasthika Mustika | Jakarta Int vs. Asuransi Harta Aman | Jakarta Int vs. Indosterling Technomedia Tbk | Jakarta Int vs. Indosat Tbk |
Asia Pacific vs. Mitra Pinasthika Mustika | Asia Pacific vs. Jakarta Int Hotels | Asia Pacific vs. Asuransi Harta Aman | Asia Pacific vs. Indosterling Technomedia 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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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