Correlation Between Simpson Manufacturing and CCL Industries
Can any of the company-specific risk be diversified away by investing in both Simpson Manufacturing and CCL Industries 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 Simpson Manufacturing and CCL Industries into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Simpson Manufacturing and CCL Industries, you can compare the effects of market volatilities on Simpson Manufacturing and CCL Industries 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 Simpson Manufacturing with a short position of CCL Industries. Check out your portfolio center. Please also check ongoing floating volatility patterns of Simpson Manufacturing and CCL Industries.
Diversification Opportunities for Simpson Manufacturing and CCL Industries
0.4 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Simpson and CCL is 0.4. Overlapping area represents the amount of risk that can be diversified away by holding Simpson Manufacturing and CCL Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CCL Industries and Simpson Manufacturing 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 Simpson Manufacturing are associated (or correlated) with CCL Industries. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CCL Industries has no effect on the direction of Simpson Manufacturing i.e., Simpson Manufacturing and CCL Industries go up and down completely randomly.
Pair Corralation between Simpson Manufacturing and CCL Industries
Considering the 90-day investment horizon Simpson Manufacturing is expected to generate 1.72 times more return on investment than CCL Industries. However, Simpson Manufacturing is 1.72 times more volatile than CCL Industries. It trades about 0.13 of its potential returns per unit of risk. CCL Industries is currently generating about 0.13 per unit of risk. If you would invest 15,682 in Simpson Manufacturing on May 2, 2025 and sell it today you would earn a total of 2,670 from holding Simpson Manufacturing or generate 17.03% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Simpson Manufacturing vs. CCL Industries
Performance |
Timeline |
Simpson Manufacturing |
CCL Industries |
Simpson Manufacturing and CCL Industries Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Simpson Manufacturing and CCL Industries
The main advantage of trading using opposite Simpson Manufacturing and CCL Industries positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Simpson Manufacturing position performs unexpectedly, CCL Industries 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 CCL Industries will offset losses from the drop in CCL Industries' long position.Simpson Manufacturing vs. Ufp Industries | Simpson Manufacturing vs. West Fraser Timber | Simpson Manufacturing vs. Canfor | Simpson Manufacturing vs. Stella Jones |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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