Correlation Between Stella Jones and Andrew Peller
Can any of the company-specific risk be diversified away by investing in both Stella Jones and Andrew Peller 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 Stella Jones and Andrew Peller into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Stella Jones and Andrew Peller Limited, you can compare the effects of market volatilities on Stella Jones and Andrew Peller 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 Stella Jones with a short position of Andrew Peller. Check out your portfolio center. Please also check ongoing floating volatility patterns of Stella Jones and Andrew Peller.
Diversification Opportunities for Stella Jones and Andrew Peller
0.43 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Stella and Andrew is 0.43. Overlapping area represents the amount of risk that can be diversified away by holding Stella Jones and Andrew Peller Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Andrew Peller Limited and Stella Jones 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 Stella Jones are associated (or correlated) with Andrew Peller. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Andrew Peller Limited has no effect on the direction of Stella Jones i.e., Stella Jones and Andrew Peller go up and down completely randomly.
Pair Corralation between Stella Jones and Andrew Peller
Assuming the 90 days horizon Stella Jones is expected to generate 0.67 times more return on investment than Andrew Peller. However, Stella Jones is 1.48 times less risky than Andrew Peller. It trades about -0.01 of its potential returns per unit of risk. Andrew Peller Limited is currently generating about -0.08 per unit of risk. If you would invest 7,370 in Stella Jones on October 6, 2024 and sell it today you would lose (20.00) from holding Stella Jones or give up 0.27% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Stella Jones vs. Andrew Peller Limited
Performance |
Timeline |
Stella Jones |
Andrew Peller Limited |
Stella Jones and Andrew Peller Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Stella Jones and Andrew Peller
The main advantage of trading using opposite Stella Jones and Andrew Peller positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Stella Jones position performs unexpectedly, Andrew Peller 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 Andrew Peller will offset losses from the drop in Andrew Peller's long position.Stella Jones vs. Richelieu Hardware | Stella Jones vs. CCL Industries | Stella Jones vs. Stantec | Stella Jones vs. Gildan Activewear |
Andrew Peller vs. Corby Spirit and | Andrew Peller vs. Stella Jones | Andrew Peller vs. Transcontinental | Andrew Peller vs. CCL Industries |
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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