Correlation Between Alam Sutera and City Retail
Can any of the company-specific risk be diversified away by investing in both Alam Sutera and City Retail 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 Alam Sutera and City Retail into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Alam Sutera Realty and City Retail Developments, you can compare the effects of market volatilities on Alam Sutera and City Retail 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 Alam Sutera with a short position of City Retail. Check out your portfolio center. Please also check ongoing floating volatility patterns of Alam Sutera and City Retail.
Diversification Opportunities for Alam Sutera and City Retail
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Alam and City is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Alam Sutera Realty and City Retail Developments in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on City Retail Developments and Alam Sutera 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 Alam Sutera Realty are associated (or correlated) with City Retail. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of City Retail Developments has no effect on the direction of Alam Sutera i.e., Alam Sutera and City Retail go up and down completely randomly.
Pair Corralation between Alam Sutera and City Retail
Assuming the 90 days trading horizon Alam Sutera Realty is expected to generate 6.5 times more return on investment than City Retail. However, Alam Sutera is 6.5 times more volatile than City Retail Developments. It trades about 0.07 of its potential returns per unit of risk. City Retail Developments is currently generating about -0.12 per unit of risk. If you would invest 12,700 in Alam Sutera Realty on September 13, 2024 and sell it today you would earn a total of 3,500 from holding Alam Sutera Realty or generate 27.56% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Alam Sutera Realty vs. City Retail Developments
Performance |
| Timeline |
| Alam Sutera Realty |
| City Retail Developments |
Alam Sutera and City Retail Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Alam Sutera and City Retail
The main advantage of trading using opposite Alam Sutera and City Retail positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Alam Sutera position performs unexpectedly, City Retail 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 City Retail will offset losses from the drop in City Retail's long position.| Alam Sutera vs. Ciputra Development Tbk | Alam Sutera vs. Bumi Serpong Damai | Alam Sutera vs. Lippo Karawaci Tbk |
| City Retail vs. Metropolitan Land Tbk | City Retail vs. Bekasi Fajar Industrial | City Retail vs. Greenwood Sejahtera Tbk | City Retail vs. Metropolitan Kentjana 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 Stocks Directory module to find actively traded stocks across global markets.
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