Correlation Between Hafnia and Bright Scholar
Can any of the company-specific risk be diversified away by investing in both Hafnia and Bright Scholar 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 Hafnia and Bright Scholar into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hafnia Limited and Bright Scholar Education, you can compare the effects of market volatilities on Hafnia and Bright Scholar 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 Hafnia with a short position of Bright Scholar. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hafnia and Bright Scholar.
Diversification Opportunities for Hafnia and Bright Scholar
0.24 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Hafnia and Bright is 0.24. Overlapping area represents the amount of risk that can be diversified away by holding Hafnia Limited and Bright Scholar Education in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bright Scholar Education and Hafnia 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 Hafnia Limited are associated (or correlated) with Bright Scholar. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bright Scholar Education has no effect on the direction of Hafnia i.e., Hafnia and Bright Scholar go up and down completely randomly.
Pair Corralation between Hafnia and Bright Scholar
Given the investment horizon of 90 days Hafnia Limited is expected to under-perform the Bright Scholar. But the stock apears to be less risky and, when comparing its historical volatility, Hafnia Limited is 1.34 times less risky than Bright Scholar. The stock trades about -0.18 of its potential returns per unit of risk. The Bright Scholar Education is currently generating about -0.01 of returns per unit of risk over similar time horizon. If you would invest 186.00 in Bright Scholar Education on August 27, 2024 and sell it today you would lose (3.00) from holding Bright Scholar Education or give up 1.61% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 90.48% |
| Values | Daily Returns |
Hafnia Limited vs. Bright Scholar Education
Performance |
| Timeline |
| Hafnia Limited |
| Bright Scholar Education |
Hafnia and Bright Scholar Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Hafnia and Bright Scholar
The main advantage of trading using opposite Hafnia and Bright Scholar positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hafnia position performs unexpectedly, Bright Scholar 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 Bright Scholar will offset losses from the drop in Bright Scholar's long position.| Hafnia vs. Iridium Communications | Hafnia vs. Transocean | Hafnia vs. Emerson Radio | Hafnia vs. AKITA Drilling |
| Bright Scholar vs. American Public Education | Bright Scholar vs. Lincoln Educational Services | Bright Scholar vs. Adtalem Global Education |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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