Correlation Between Richelieu Hardware and Stella Jones
Can any of the company-specific risk be diversified away by investing in both Richelieu Hardware and Stella Jones 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 Richelieu Hardware and Stella Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Richelieu Hardware and Stella Jones, you can compare the effects of market volatilities on Richelieu Hardware and Stella Jones 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 Richelieu Hardware with a short position of Stella Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Richelieu Hardware and Stella Jones.
Diversification Opportunities for Richelieu Hardware and Stella Jones
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Richelieu and Stella is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Richelieu Hardware and Stella Jones in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Stella Jones and Richelieu Hardware 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 Richelieu Hardware are associated (or correlated) with Stella Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Stella Jones has no effect on the direction of Richelieu Hardware i.e., Richelieu Hardware and Stella Jones go up and down completely randomly.
Pair Corralation between Richelieu Hardware and Stella Jones
Assuming the 90 days trading horizon Richelieu Hardware is expected to generate 2.07 times less return on investment than Stella Jones. In addition to that, Richelieu Hardware is 1.09 times more volatile than Stella Jones. It trades about 0.09 of its total potential returns per unit of risk. Stella Jones is currently generating about 0.2 per unit of volatility. If you would invest 6,713 in Stella Jones on May 6, 2025 and sell it today you would earn a total of 1,180 from holding Stella Jones or generate 17.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 95.24% |
Values | Daily Returns |
Richelieu Hardware vs. Stella Jones
Performance |
Timeline |
Richelieu Hardware |
Stella Jones |
Richelieu Hardware and Stella Jones Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Richelieu Hardware and Stella Jones
The main advantage of trading using opposite Richelieu Hardware and Stella Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Richelieu Hardware position performs unexpectedly, Stella Jones 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 Stella Jones will offset losses from the drop in Stella Jones' long position.Richelieu Hardware vs. Stella Jones | Richelieu Hardware vs. Winpak | Richelieu Hardware vs. Stantec | Richelieu Hardware vs. Gildan Activewear |
Stella Jones vs. Richelieu Hardware | Stella Jones vs. CCL Industries | Stella Jones vs. Stantec | Stella Jones vs. Gildan Activewear |
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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