Correlation Between Asia Pacific and Catur Sentosa
Can any of the company-specific risk be diversified away by investing in both Asia Pacific and Catur Sentosa 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 Catur Sentosa 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 Catur Sentosa Adiprana, you can compare the effects of market volatilities on Asia Pacific and Catur Sentosa 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 Catur Sentosa. Check out your portfolio center. Please also check ongoing floating volatility patterns of Asia Pacific and Catur Sentosa.
Diversification Opportunities for Asia Pacific and Catur Sentosa
0.58 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Asia and Catur is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding Asia Pacific Fibers and Catur Sentosa Adiprana in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Catur Sentosa Adiprana 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 Catur Sentosa. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Catur Sentosa Adiprana has no effect on the direction of Asia Pacific i.e., Asia Pacific and Catur Sentosa go up and down completely randomly.
Pair Corralation between Asia Pacific and Catur Sentosa
Assuming the 90 days trading horizon Asia Pacific Fibers is expected to generate 1.47 times more return on investment than Catur Sentosa. However, Asia Pacific is 1.47 times more volatile than Catur Sentosa Adiprana. It trades about 0.25 of its potential returns per unit of risk. Catur Sentosa Adiprana is currently generating about -0.04 per unit of risk. If you would invest 1,500 in Asia Pacific Fibers on October 10, 2024 and sell it today you would earn a total of 500.00 from holding Asia Pacific Fibers or generate 33.33% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Asia Pacific Fibers vs. Catur Sentosa Adiprana
Performance |
Timeline |
Asia Pacific Fibers |
Catur Sentosa Adiprana |
Asia Pacific and Catur Sentosa Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Asia Pacific and Catur Sentosa
The main advantage of trading using opposite Asia Pacific and Catur Sentosa positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Asia Pacific position performs unexpectedly, Catur Sentosa 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 Catur Sentosa will offset losses from the drop in Catur Sentosa'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 |
Catur Sentosa vs. Pan Brothers Tbk | Catur Sentosa vs. Asia Pacific Fibers | Catur Sentosa vs. Asia Pacific Investama |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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