Correlation Between Repower Asia and Gaya Abadi
Can any of the company-specific risk be diversified away by investing in both Repower Asia and Gaya Abadi 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 Repower Asia and Gaya Abadi into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Repower Asia Indonesia and Gaya Abadi Sempurna, you can compare the effects of market volatilities on Repower Asia and Gaya Abadi 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 Repower Asia with a short position of Gaya Abadi. Check out your portfolio center. Please also check ongoing floating volatility patterns of Repower Asia and Gaya Abadi.
Diversification Opportunities for Repower Asia and Gaya Abadi
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Repower and Gaya is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding Repower Asia Indonesia and Gaya Abadi Sempurna in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gaya Abadi Sempurna and Repower Asia 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 Repower Asia Indonesia are associated (or correlated) with Gaya Abadi. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gaya Abadi Sempurna has no effect on the direction of Repower Asia i.e., Repower Asia and Gaya Abadi go up and down completely randomly.
Pair Corralation between Repower Asia and Gaya Abadi
Assuming the 90 days trading horizon Repower Asia Indonesia is expected to generate 3.51 times more return on investment than Gaya Abadi. However, Repower Asia is 3.51 times more volatile than Gaya Abadi Sempurna. It trades about 0.11 of its potential returns per unit of risk. Gaya Abadi Sempurna is currently generating about 0.02 per unit of risk. If you would invest 400.00 in Repower Asia Indonesia on September 15, 2024 and sell it today you would earn a total of 500.00 from holding Repower Asia Indonesia or generate 125.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 99.21% |
Values | Daily Returns |
Repower Asia Indonesia vs. Gaya Abadi Sempurna
Performance |
Timeline |
Repower Asia Indonesia |
Gaya Abadi Sempurna |
Repower Asia and Gaya Abadi Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Repower Asia and Gaya Abadi
The main advantage of trading using opposite Repower Asia and Gaya Abadi positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Repower Asia position performs unexpectedly, Gaya Abadi 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 Gaya Abadi will offset losses from the drop in Gaya Abadi's long position.Repower Asia vs. Perintis Triniti Properti | Repower Asia vs. Diamond Citra Propertindo | Repower Asia vs. Karya Bersama Anugerah | Repower Asia vs. Pratama Widya Tbk |
Gaya Abadi vs. Pollux Properti Indonesia | Gaya Abadi vs. Medikaloka Hermina PT | Gaya Abadi vs. Trisula Textile Industries | Gaya Abadi vs. Mitrabara Adiperdana PT |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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