Correlation Between Bright Scholar and Live Ventures
Can any of the company-specific risk be diversified away by investing in both Bright Scholar and Live Ventures 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 Live Ventures 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 Live Ventures, you can compare the effects of market volatilities on Bright Scholar and Live Ventures 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 Live Ventures. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bright Scholar and Live Ventures.
Diversification Opportunities for Bright Scholar and Live Ventures
0.29 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Bright and Live is 0.29. Overlapping area represents the amount of risk that can be diversified away by holding Bright Scholar Education and Live Ventures in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Live Ventures 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 Live Ventures. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Live Ventures has no effect on the direction of Bright Scholar i.e., Bright Scholar and Live Ventures go up and down completely randomly.
Pair Corralation between Bright Scholar and Live Ventures
Given the investment horizon of 90 days Bright Scholar Education is expected to generate 1.51 times more return on investment than Live Ventures. However, Bright Scholar is 1.51 times more volatile than Live Ventures. It trades about 0.01 of its potential returns per unit of risk. Live Ventures is currently generating about -0.04 per unit of risk. If you would invest 249.00 in Bright Scholar Education on September 14, 2024 and sell it today you would lose (55.00) from holding Bright Scholar Education or give up 22.09% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 99.39% |
Values | Daily Returns |
Bright Scholar Education vs. Live Ventures
Performance |
Timeline |
Bright Scholar Education |
Live Ventures |
Bright Scholar and Live Ventures Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bright Scholar and Live Ventures
The main advantage of trading using opposite Bright Scholar and Live Ventures positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bright Scholar position performs unexpectedly, Live Ventures 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 Live Ventures will offset losses from the drop in Live Ventures' long position.Bright Scholar vs. Laureate Education | Bright Scholar vs. American Public Education | Bright Scholar vs. Lincoln Educational Services | Bright Scholar vs. Adtalem Global Education |
Live Ventures vs. Arhaus Inc | Live Ventures vs. Floor Decor Holdings | Live Ventures vs. Kingfisher plc | Live Ventures vs. Haverty Furniture Companies |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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