Correlation Between CCL Industries and Salesforce
Can any of the company-specific risk be diversified away by investing in both CCL Industries and Salesforce 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 Salesforce into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CCL Industries and SalesforceCom CDR, you can compare the effects of market volatilities on CCL Industries and Salesforce 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 Salesforce. Check out your portfolio center. Please also check ongoing floating volatility patterns of CCL Industries and Salesforce.
Diversification Opportunities for CCL Industries and Salesforce
-0.65 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between CCL and Salesforce is -0.65. Overlapping area represents the amount of risk that can be diversified away by holding CCL Industries and SalesforceCom CDR in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SalesforceCom CDR 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 Salesforce. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SalesforceCom CDR has no effect on the direction of CCL Industries i.e., CCL Industries and Salesforce go up and down completely randomly.
Pair Corralation between CCL Industries and Salesforce
Assuming the 90 days trading horizon CCL Industries is expected to under-perform the Salesforce. But the stock apears to be less risky and, when comparing its historical volatility, CCL Industries is 4.16 times less risky than Salesforce. The stock trades about -0.43 of its potential returns per unit of risk. The SalesforceCom CDR is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 2,675 in SalesforceCom CDR on September 22, 2024 and sell it today you would earn a total of 60.00 from holding SalesforceCom CDR or generate 2.24% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
CCL Industries vs. SalesforceCom CDR
Performance |
Timeline |
CCL Industries |
SalesforceCom CDR |
CCL Industries and Salesforce Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CCL Industries and Salesforce
The main advantage of trading using opposite CCL Industries and Salesforce positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CCL Industries position performs unexpectedly, Salesforce 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 Salesforce will offset losses from the drop in Salesforce's long position.CCL Industries vs. Cogeco Communications | CCL Industries vs. Quebecor | CCL Industries vs. Finning International | CCL Industries vs. North West |
Salesforce vs. Laurentian Bank | Salesforce vs. CI Financial Corp | Salesforce vs. VersaBank | Salesforce vs. Eddy Smart Home |
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 Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.
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