Correlation Between United States and GuocoLand
Can any of the company-specific risk be diversified away by investing in both United States and GuocoLand 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 United States and GuocoLand into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between United States Steel and GuocoLand Limited, you can compare the effects of market volatilities on United States and GuocoLand 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 United States with a short position of GuocoLand. Check out your portfolio center. Please also check ongoing floating volatility patterns of United States and GuocoLand.
Diversification Opportunities for United States and GuocoLand
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between United and GuocoLand is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding United States Steel and GuocoLand Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GuocoLand Limited and United States 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 United States Steel are associated (or correlated) with GuocoLand. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GuocoLand Limited has no effect on the direction of United States i.e., United States and GuocoLand go up and down completely randomly.
Pair Corralation between United States and GuocoLand
Assuming the 90 days trading horizon United States Steel is expected to generate 3.92 times more return on investment than GuocoLand. However, United States is 3.92 times more volatile than GuocoLand Limited. It trades about 0.19 of its potential returns per unit of risk. GuocoLand Limited is currently generating about 0.2 per unit of risk. If you would invest 2,707 in United States Steel on September 5, 2024 and sell it today you would earn a total of 996.00 from holding United States Steel or generate 36.79% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
United States Steel vs. GuocoLand Limited
Performance |
Timeline |
United States Steel |
GuocoLand Limited |
United States and GuocoLand Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with United States and GuocoLand
The main advantage of trading using opposite United States and GuocoLand positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if United States position performs unexpectedly, GuocoLand 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 GuocoLand will offset losses from the drop in GuocoLand's long position.United States vs. Japan Medical Dynamic | United States vs. Alfa Financial Software | United States vs. Clearside Biomedical | United States vs. Avanos Medical |
GuocoLand vs. United States Steel | GuocoLand vs. Reliance Steel Aluminum | GuocoLand vs. Transport International Holdings | GuocoLand vs. Tianjin Capital Environmental |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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