Correlation Between Pollux Properti and Golden Flower
Can any of the company-specific risk be diversified away by investing in both Pollux Properti and Golden Flower 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 Pollux Properti and Golden Flower into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pollux Properti Indonesia and Golden Flower Tbk, you can compare the effects of market volatilities on Pollux Properti and Golden Flower 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 Pollux Properti with a short position of Golden Flower. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pollux Properti and Golden Flower.
Diversification Opportunities for Pollux Properti and Golden Flower
0.11 | Correlation Coefficient |
Average diversification
The 3 months correlation between Pollux and Golden is 0.11. Overlapping area represents the amount of risk that can be diversified away by holding Pollux Properti Indonesia and Golden Flower Tbk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Golden Flower Tbk and Pollux Properti 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 Pollux Properti Indonesia are associated (or correlated) with Golden Flower. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Golden Flower Tbk has no effect on the direction of Pollux Properti i.e., Pollux Properti and Golden Flower go up and down completely randomly.
Pair Corralation between Pollux Properti and Golden Flower
Assuming the 90 days trading horizon Pollux Properti Indonesia is expected to generate 0.48 times more return on investment than Golden Flower. However, Pollux Properti Indonesia is 2.07 times less risky than Golden Flower. It trades about -0.13 of its potential returns per unit of risk. Golden Flower Tbk is currently generating about -0.11 per unit of risk. If you would invest 13,400 in Pollux Properti Indonesia on March 2, 2024 and sell it today you would lose (1,300) from holding Pollux Properti Indonesia or give up 9.7% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Pollux Properti Indonesia vs. Golden Flower Tbk
Performance |
Timeline |
Pollux Properti Indonesia |
Golden Flower Tbk |
Pollux Properti and Golden Flower Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pollux Properti and Golden Flower
The main advantage of trading using opposite Pollux Properti and Golden Flower positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pollux Properti position performs unexpectedly, Golden Flower 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 Golden Flower will offset losses from the drop in Golden Flower's long position.Pollux Properti vs. Bekasi Fajar Industrial | Pollux Properti vs. Mitra Pinasthika Mustika | Pollux Properti vs. Jakarta Int Hotels | Pollux Properti vs. Integra Indocabinet Tbk |
Golden Flower vs. Trisula International Tbk | Golden Flower vs. Pollux Properti Indonesia | Golden Flower vs. Trisula Textile Industries | Golden Flower vs. Tifico Fiber Indonesia |
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 Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
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