Correlation Between Greenwood Sejahtera and Perintis Triniti
Can any of the company-specific risk be diversified away by investing in both Greenwood Sejahtera and Perintis Triniti 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 Greenwood Sejahtera and Perintis Triniti into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Greenwood Sejahtera Tbk and Perintis Triniti Properti, you can compare the effects of market volatilities on Greenwood Sejahtera and Perintis Triniti 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 Greenwood Sejahtera with a short position of Perintis Triniti. Check out your portfolio center. Please also check ongoing floating volatility patterns of Greenwood Sejahtera and Perintis Triniti.
Diversification Opportunities for Greenwood Sejahtera and Perintis Triniti
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Greenwood and Perintis is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Greenwood Sejahtera Tbk and Perintis Triniti Properti in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Perintis Triniti Properti and Greenwood Sejahtera 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 Greenwood Sejahtera Tbk are associated (or correlated) with Perintis Triniti. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Perintis Triniti Properti has no effect on the direction of Greenwood Sejahtera i.e., Greenwood Sejahtera and Perintis Triniti go up and down completely randomly.
Pair Corralation between Greenwood Sejahtera and Perintis Triniti
Assuming the 90 days trading horizon Greenwood Sejahtera Tbk is expected to generate 0.67 times more return on investment than Perintis Triniti. However, Greenwood Sejahtera Tbk is 1.49 times less risky than Perintis Triniti. It trades about -0.12 of its potential returns per unit of risk. Perintis Triniti Properti is currently generating about -0.14 per unit of risk. If you would invest 13,800 in Greenwood Sejahtera Tbk on October 27, 2024 and sell it today you would lose (1,400) from holding Greenwood Sejahtera Tbk or give up 10.14% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Greenwood Sejahtera Tbk vs. Perintis Triniti Properti
Performance |
Timeline |
Greenwood Sejahtera Tbk |
Perintis Triniti Properti |
Greenwood Sejahtera and Perintis Triniti Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Greenwood Sejahtera and Perintis Triniti
The main advantage of trading using opposite Greenwood Sejahtera and Perintis Triniti positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Greenwood Sejahtera position performs unexpectedly, Perintis Triniti 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 Perintis Triniti will offset losses from the drop in Perintis Triniti's long position.Greenwood Sejahtera vs. Metropolitan Land Tbk | Greenwood Sejahtera vs. Perdana Gapura Prima | Greenwood Sejahtera vs. Megapolitan Developments Tbk | Greenwood Sejahtera vs. Intiland Development Tbk |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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