Correlation Between Brompton Lifeco and Helios Fairfax
Can any of the company-specific risk be diversified away by investing in both Brompton Lifeco and Helios Fairfax 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 Lifeco and Helios Fairfax into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Brompton Lifeco Split and Helios Fairfax Partners, you can compare the effects of market volatilities on Brompton Lifeco and Helios Fairfax 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 Lifeco with a short position of Helios Fairfax. Check out your portfolio center. Please also check ongoing floating volatility patterns of Brompton Lifeco and Helios Fairfax.
Diversification Opportunities for Brompton Lifeco and Helios Fairfax
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between Brompton and Helios is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Brompton Lifeco Split and Helios Fairfax Partners in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Helios Fairfax Partners and Brompton Lifeco 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 Lifeco Split are associated (or correlated) with Helios Fairfax. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Helios Fairfax Partners has no effect on the direction of Brompton Lifeco i.e., Brompton Lifeco and Helios Fairfax go up and down completely randomly.
Pair Corralation between Brompton Lifeco and Helios Fairfax
Assuming the 90 days trading horizon Brompton Lifeco Split is expected to generate 0.5 times more return on investment than Helios Fairfax. However, Brompton Lifeco Split is 2.01 times less risky than Helios Fairfax. It trades about 0.03 of its potential returns per unit of risk. Helios Fairfax Partners is currently generating about -0.02 per unit of risk. If you would invest 832.00 in Brompton Lifeco Split on December 29, 2024 and sell it today you would earn a total of 21.00 from holding Brompton Lifeco Split or generate 2.52% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Brompton Lifeco Split vs. Helios Fairfax Partners
Performance |
Timeline |
Brompton Lifeco Split |
Helios Fairfax Partners |
Brompton Lifeco and Helios Fairfax Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Brompton Lifeco and Helios Fairfax
The main advantage of trading using opposite Brompton Lifeco and Helios Fairfax positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Brompton Lifeco position performs unexpectedly, Helios Fairfax 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 Helios Fairfax will offset losses from the drop in Helios Fairfax's long position.Brompton Lifeco vs. Life Banc Split | Brompton Lifeco vs. Brompton Split Banc | Brompton Lifeco vs. Dividend Growth Split | Brompton Lifeco vs. Dividend 15 Split |
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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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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