Correlation Between Bright Scholar and American Axle
Can any of the company-specific risk be diversified away by investing in both Bright Scholar and American Axle 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 Bright Scholar and American Axle into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bright Scholar Education and American Axle Manufacturing, you can compare the effects of market volatilities on Bright Scholar and American Axle 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 Bright Scholar with a short position of American Axle. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bright Scholar and American Axle.
Diversification Opportunities for Bright Scholar and American Axle
-0.53 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Bright and American is -0.53. Overlapping area represents the amount of risk that can be diversified away by holding Bright Scholar Education and American Axle Manufacturing in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on American Axle Manufa and Bright Scholar 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 Bright Scholar Education are associated (or correlated) with American Axle. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of American Axle Manufa has no effect on the direction of Bright Scholar i.e., Bright Scholar and American Axle go up and down completely randomly.
Pair Corralation between Bright Scholar and American Axle
Given the investment horizon of 90 days Bright Scholar Education is expected to generate 1.86 times more return on investment than American Axle. However, Bright Scholar is 1.86 times more volatile than American Axle Manufacturing. It trades about 0.01 of its potential returns per unit of risk. American Axle Manufacturing is currently generating about -0.01 per unit of risk. If you would invest 236.00 in Bright Scholar Education on September 24, 2024 and sell it today you would lose (51.00) from holding Bright Scholar Education or give up 21.61% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 99.2% |
Values | Daily Returns |
Bright Scholar Education vs. American Axle Manufacturing
Performance |
Timeline |
Bright Scholar Education |
American Axle Manufa |
Bright Scholar and American Axle Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bright Scholar and American Axle
The main advantage of trading using opposite Bright Scholar and American Axle positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bright Scholar position performs unexpectedly, American Axle 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 American Axle will offset losses from the drop in American Axle's long position.Bright Scholar vs. Laureate Education | Bright Scholar vs. China Liberal Education | Bright Scholar vs. Adtalem Global Education | Bright Scholar vs. Grand Canyon Education |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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