Correlation Between Brompton European and Forum Energy
Can any of the company-specific risk be diversified away by investing in both Brompton European and Forum 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 Forum 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 Forum Energy Metals, you can compare the effects of market volatilities on Brompton European and Forum 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 Forum Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Brompton European and Forum Energy.
Diversification Opportunities for Brompton European and Forum Energy
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Brompton and Forum is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding Brompton European Dividend and Forum Energy Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Forum Energy Metals 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 Forum Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Forum Energy Metals has no effect on the direction of Brompton European i.e., Brompton European and Forum Energy go up and down completely randomly.
Pair Corralation between Brompton European and Forum Energy
Assuming the 90 days trading horizon Brompton European Dividend is expected to generate 0.21 times more return on investment than Forum Energy. However, Brompton European Dividend is 4.72 times less risky than Forum Energy. It trades about 0.01 of its potential returns per unit of risk. Forum Energy Metals is currently generating about -0.06 per unit of risk. If you would invest 1,059 in Brompton European Dividend on September 2, 2024 and sell it today you would earn a total of 12.00 from holding Brompton European Dividend or generate 1.13% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Brompton European Dividend vs. Forum Energy Metals
Performance |
Timeline |
Brompton European |
Forum Energy Metals |
Brompton European and Forum Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Brompton European and Forum Energy
The main advantage of trading using opposite Brompton European and Forum Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Brompton European position performs unexpectedly, Forum 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 Forum Energy will offset losses from the drop in Forum 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 |
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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