Correlation Between Brompton North and Brompton European
Can any of the company-specific risk be diversified away by investing in both Brompton North and Brompton European 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 North and Brompton European into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Brompton North American and Brompton European Dividend, you can compare the effects of market volatilities on Brompton North and Brompton European 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 North with a short position of Brompton European. Check out your portfolio center. Please also check ongoing floating volatility patterns of Brompton North and Brompton European.
Diversification Opportunities for Brompton North and Brompton European
0.15 | Correlation Coefficient |
Average diversification
The 3 months correlation between Brompton and Brompton is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding Brompton North American and Brompton European Dividend in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Brompton European and Brompton North 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 North American are associated (or correlated) with Brompton European. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Brompton European has no effect on the direction of Brompton North i.e., Brompton North and Brompton European go up and down completely randomly.
Pair Corralation between Brompton North and Brompton European
Assuming the 90 days trading horizon Brompton North American is expected to generate 1.02 times more return on investment than Brompton European. However, Brompton North is 1.02 times more volatile than Brompton European Dividend. It trades about 0.2 of its potential returns per unit of risk. Brompton European Dividend is currently generating about 0.03 per unit of risk. If you would invest 2,231 in Brompton North American on September 2, 2024 and sell it today you would earn a total of 396.00 from holding Brompton North American or generate 17.75% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Brompton North American vs. Brompton European Dividend
Performance |
Timeline |
Brompton North American |
Brompton European |
Brompton North and Brompton European Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Brompton North and Brompton European
The main advantage of trading using opposite Brompton North and Brompton European positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Brompton North position performs unexpectedly, Brompton European 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 Brompton European will offset losses from the drop in Brompton European's long position.Brompton North vs. BMO Canadian Dividend | Brompton North vs. BMO Covered Call | Brompton North vs. BMO Canadian High | Brompton North vs. BMO NASDAQ 100 |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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