Correlation Between Fiera Capital and Canada Goose
Can any of the company-specific risk be diversified away by investing in both Fiera Capital and Canada Goose 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 Fiera Capital and Canada Goose into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Fiera Capital and Canada Goose Holdings, you can compare the effects of market volatilities on Fiera Capital and Canada Goose 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 Fiera Capital with a short position of Canada Goose. Check out your portfolio center. Please also check ongoing floating volatility patterns of Fiera Capital and Canada Goose.
Diversification Opportunities for Fiera Capital and Canada Goose
-0.77 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Fiera and Canada is -0.77. Overlapping area represents the amount of risk that can be diversified away by holding Fiera Capital and Canada Goose Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Canada Goose Holdings and Fiera Capital 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 Fiera Capital are associated (or correlated) with Canada Goose. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Canada Goose Holdings has no effect on the direction of Fiera Capital i.e., Fiera Capital and Canada Goose go up and down completely randomly.
Pair Corralation between Fiera Capital and Canada Goose
Assuming the 90 days trading horizon Fiera Capital is expected to under-perform the Canada Goose. But the stock apears to be less risky and, when comparing its historical volatility, Fiera Capital is 1.43 times less risky than Canada Goose. The stock trades about -0.42 of its potential returns per unit of risk. The Canada Goose Holdings is currently generating about 0.2 of returns per unit of risk over similar time horizon. If you would invest 1,359 in Canada Goose Holdings on September 25, 2024 and sell it today you would earn a total of 93.00 from holding Canada Goose Holdings or generate 6.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Fiera Capital vs. Canada Goose Holdings
Performance |
Timeline |
Fiera Capital |
Canada Goose Holdings |
Fiera Capital and Canada Goose Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Fiera Capital and Canada Goose
The main advantage of trading using opposite Fiera Capital and Canada Goose positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Fiera Capital position performs unexpectedly, Canada Goose 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 Canada Goose will offset losses from the drop in Canada Goose's long position.Fiera Capital vs. Berkshire Hathaway CDR | Fiera Capital vs. JPMorgan Chase Co | Fiera Capital vs. Bank of America | Fiera Capital vs. Alphabet Inc CDR |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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