Correlation Between Bright Scholar and FactSet Research
Can any of the company-specific risk be diversified away by investing in both Bright Scholar and FactSet Research 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 FactSet Research 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 FactSet Research Systems, you can compare the effects of market volatilities on Bright Scholar and FactSet Research 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 FactSet Research. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bright Scholar and FactSet Research.
Diversification Opportunities for Bright Scholar and FactSet Research
-0.54 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Bright and FactSet is -0.54. Overlapping area represents the amount of risk that can be diversified away by holding Bright Scholar Education and FactSet Research Systems in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on FactSet Research Systems 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 FactSet Research. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of FactSet Research Systems has no effect on the direction of Bright Scholar i.e., Bright Scholar and FactSet Research go up and down completely randomly.
Pair Corralation between Bright Scholar and FactSet Research
Given the investment horizon of 90 days Bright Scholar Education is expected to under-perform the FactSet Research. In addition to that, Bright Scholar is 3.92 times more volatile than FactSet Research Systems. It trades about 0.0 of its total potential returns per unit of risk. FactSet Research Systems is currently generating about 0.03 per unit of volatility. If you would invest 41,911 in FactSet Research Systems on September 27, 2024 and sell it today you would earn a total of 7,224 from holding FactSet Research Systems or generate 17.24% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 99.16% |
Values | Daily Returns |
Bright Scholar Education vs. FactSet Research Systems
Performance |
Timeline |
Bright Scholar Education |
FactSet Research Systems |
Bright Scholar and FactSet Research Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bright Scholar and FactSet Research
The main advantage of trading using opposite Bright Scholar and FactSet Research positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bright Scholar position performs unexpectedly, FactSet Research 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 FactSet Research will offset losses from the drop in FactSet Research's long position.Bright Scholar vs. Lixiang Education Holding | Bright Scholar vs. Jianzhi Education Technology | Bright Scholar vs. Golden Sun Education |
FactSet Research vs. Dun Bradstreet Holdings | FactSet Research vs. Moodys | FactSet Research vs. MSCI Inc | FactSet Research vs. Intercontinental Exchange |
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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