Correlation Between Agung Podomoro and Alam Sutera
Can any of the company-specific risk be diversified away by investing in both Agung Podomoro and Alam Sutera 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 Agung Podomoro and Alam Sutera into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Agung Podomoro Land and Alam Sutera Realty, you can compare the effects of market volatilities on Agung Podomoro and Alam Sutera 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 Agung Podomoro with a short position of Alam Sutera. Check out your portfolio center. Please also check ongoing floating volatility patterns of Agung Podomoro and Alam Sutera.
Diversification Opportunities for Agung Podomoro and Alam Sutera
0.96 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Agung and Alam is 0.96. Overlapping area represents the amount of risk that can be diversified away by holding Agung Podomoro Land and Alam Sutera Realty in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Alam Sutera Realty and Agung Podomoro 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 Agung Podomoro Land are associated (or correlated) with Alam Sutera. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Alam Sutera Realty has no effect on the direction of Agung Podomoro i.e., Agung Podomoro and Alam Sutera go up and down completely randomly.
Pair Corralation between Agung Podomoro and Alam Sutera
Assuming the 90 days trading horizon Agung Podomoro Land is expected to generate 0.89 times more return on investment than Alam Sutera. However, Agung Podomoro Land is 1.12 times less risky than Alam Sutera. It trades about -0.32 of its potential returns per unit of risk. Alam Sutera Realty is currently generating about -0.31 per unit of risk. If you would invest 10,600 in Agung Podomoro Land on October 12, 2024 and sell it today you would lose (1,400) from holding Agung Podomoro Land or give up 13.21% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Agung Podomoro Land vs. Alam Sutera Realty
Performance |
Timeline |
Agung Podomoro Land |
Alam Sutera Realty |
Agung Podomoro and Alam Sutera Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Agung Podomoro and Alam Sutera
The main advantage of trading using opposite Agung Podomoro and Alam Sutera positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Agung Podomoro position performs unexpectedly, Alam Sutera 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 Alam Sutera will offset losses from the drop in Alam Sutera's long position.Agung Podomoro vs. Alam Sutera Realty | Agung Podomoro vs. Bumi Serpong Damai | Agung Podomoro vs. Summarecon Agung Tbk | Agung Podomoro vs. Ciputra Development Tbk |
Alam Sutera vs. Bumi Serpong Damai | Alam Sutera vs. Summarecon Agung Tbk | Alam Sutera vs. Lippo Karawaci Tbk | Alam Sutera vs. Ciputra Development 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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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