Correlation Between CCL Industries and Intact Financial
Can any of the company-specific risk be diversified away by investing in both CCL Industries and Intact Financial 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 CCL Industries and Intact Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CCL Industries and Intact Financial, you can compare the effects of market volatilities on CCL Industries and Intact Financial 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 CCL Industries with a short position of Intact Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of CCL Industries and Intact Financial.
Diversification Opportunities for CCL Industries and Intact Financial
0.57 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between CCL and Intact is 0.57. Overlapping area represents the amount of risk that can be diversified away by holding CCL Industries and Intact Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Intact Financial and CCL Industries 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 CCL Industries are associated (or correlated) with Intact Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Intact Financial has no effect on the direction of CCL Industries i.e., CCL Industries and Intact Financial go up and down completely randomly.
Pair Corralation between CCL Industries and Intact Financial
Assuming the 90 days trading horizon CCL Industries is expected to generate 1.2 times more return on investment than Intact Financial. However, CCL Industries is 1.2 times more volatile than Intact Financial. It trades about 0.2 of its potential returns per unit of risk. Intact Financial is currently generating about 0.06 per unit of risk. If you would invest 6,836 in CCL Industries on April 20, 2025 and sell it today you would earn a total of 1,161 from holding CCL Industries or generate 16.98% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
CCL Industries vs. Intact Financial
Performance |
Timeline |
CCL Industries |
Intact Financial |
CCL Industries and Intact Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CCL Industries and Intact Financial
The main advantage of trading using opposite CCL Industries and Intact Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CCL Industries position performs unexpectedly, Intact Financial 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 Intact Financial will offset losses from the drop in Intact Financial's long position.CCL Industries vs. Stella Jones | CCL Industries vs. Gildan Activewear | CCL Industries vs. Toromont Industries | CCL Industries vs. Waste Connections |
Intact Financial vs. iA Financial | Intact Financial vs. Thomson Reuters Corp | Intact Financial vs. Metro Inc | Intact Financial vs. Waste Connections |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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