Correlation Between Brompton European and Africa Energy
Can any of the company-specific risk be diversified away by investing in both Brompton European and Africa Energy 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 Brompton European and Africa Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Brompton European Dividend and Africa Energy Corp, you can compare the effects of market volatilities on Brompton European and Africa Energy 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 Brompton European with a short position of Africa Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Brompton European and Africa Energy.
Diversification Opportunities for Brompton European and Africa Energy
-0.3 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Brompton and Africa is -0.3. Overlapping area represents the amount of risk that can be diversified away by holding Brompton European Dividend and Africa Energy Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Africa Energy Corp and Brompton European 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 Brompton European Dividend are associated (or correlated) with Africa Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Africa Energy Corp has no effect on the direction of Brompton European i.e., Brompton European and Africa Energy go up and down completely randomly.
Pair Corralation between Brompton European and Africa Energy
Assuming the 90 days trading horizon Brompton European is expected to generate 13.97 times less return on investment than Africa Energy. But when comparing it to its historical volatility, Brompton European Dividend is 6.93 times less risky than Africa Energy. It trades about 0.01 of its potential returns per unit of risk. Africa Energy Corp is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 3.00 in Africa Energy Corp on August 31, 2024 and sell it today you would lose (0.50) from holding Africa Energy Corp or give up 16.67% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Brompton European Dividend vs. Africa Energy Corp
Performance |
Timeline |
Brompton European |
Africa Energy Corp |
Brompton European and Africa Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Brompton European and Africa Energy
The main advantage of trading using opposite Brompton European and Africa Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Brompton European position performs unexpectedly, Africa Energy 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 Africa Energy will offset losses from the drop in Africa Energy's long position.Brompton European vs. Brompton Global Dividend | Brompton European vs. Global Healthcare Income | Brompton European vs. Tech Leaders Income | Brompton European vs. Brompton North American |
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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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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