Correlation Between United States and ARISTOCRAT LEISURE
Can any of the company-specific risk be diversified away by investing in both United States and ARISTOCRAT LEISURE 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 ARISTOCRAT LEISURE 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 ARISTOCRAT LEISURE, you can compare the effects of market volatilities on United States and ARISTOCRAT LEISURE 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 ARISTOCRAT LEISURE. Check out your portfolio center. Please also check ongoing floating volatility patterns of United States and ARISTOCRAT LEISURE.
Diversification Opportunities for United States and ARISTOCRAT LEISURE
-0.27 | Correlation Coefficient |
Very good diversification
The 3 months correlation between United and ARISTOCRAT is -0.27. Overlapping area represents the amount of risk that can be diversified away by holding United States Steel and ARISTOCRAT LEISURE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ARISTOCRAT LEISURE 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 ARISTOCRAT LEISURE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ARISTOCRAT LEISURE has no effect on the direction of United States i.e., United States and ARISTOCRAT LEISURE go up and down completely randomly.
Pair Corralation between United States and ARISTOCRAT LEISURE
Assuming the 90 days trading horizon United States Steel is expected to generate 4.6 times more return on investment than ARISTOCRAT LEISURE. However, United States is 4.6 times more volatile than ARISTOCRAT LEISURE. It trades about 0.24 of its potential returns per unit of risk. ARISTOCRAT LEISURE is currently generating about 0.07 per unit of risk. If you would invest 2,990 in United States Steel on October 25, 2024 and sell it today you would earn a total of 502.00 from holding United States Steel or generate 16.79% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
United States Steel vs. ARISTOCRAT LEISURE
Performance |
Timeline |
United States Steel |
ARISTOCRAT LEISURE |
United States and ARISTOCRAT LEISURE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with United States and ARISTOCRAT LEISURE
The main advantage of trading using opposite United States and ARISTOCRAT LEISURE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if United States position performs unexpectedly, ARISTOCRAT LEISURE 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 ARISTOCRAT LEISURE will offset losses from the drop in ARISTOCRAT LEISURE's long position.United States vs. BOS BETTER ONLINE | United States vs. CN MODERN DAIRY | United States vs. Performance Food Group | United States vs. YATRA ONLINE DL 0001 |
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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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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