Correlation Between CI Financial and Financial
Can any of the company-specific risk be diversified away by investing in both CI Financial and 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 CI Financial and Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CI Financial Corp and Financial 15 Split, you can compare the effects of market volatilities on CI Financial and 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 CI Financial with a short position of Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of CI Financial and Financial.
Diversification Opportunities for CI Financial and Financial
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between CIX and Financial is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding CI Financial Corp and Financial 15 Split in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Financial 15 Split and CI Financial 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 CI Financial Corp are associated (or correlated) with Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Financial 15 Split has no effect on the direction of CI Financial i.e., CI Financial and Financial go up and down completely randomly.
Pair Corralation between CI Financial and Financial
Assuming the 90 days trading horizon CI Financial is expected to generate 3.23 times less return on investment than Financial. But when comparing it to its historical volatility, CI Financial Corp is 2.54 times less risky than Financial. It trades about 0.23 of its potential returns per unit of risk. Financial 15 Split is currently generating about 0.29 of returns per unit of risk over similar time horizon. If you would invest 1,027 in Financial 15 Split on April 22, 2025 and sell it today you would earn a total of 63.00 from holding Financial 15 Split or generate 6.13% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.44% |
Values | Daily Returns |
CI Financial Corp vs. Financial 15 Split
Performance |
Timeline |
CI Financial Corp |
Financial 15 Split |
CI Financial and Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CI Financial and Financial
The main advantage of trading using opposite CI Financial and Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CI Financial position performs unexpectedly, 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 Financial will offset losses from the drop in Financial's long position.CI Financial vs. IGM Financial | CI Financial vs. AGF Management Limited | CI Financial vs. Onex Corp | CI Financial vs. Alaris Equity Partners |
Financial vs. North American Financial | Financial vs. Dividend 15 Split | Financial vs. Dividend Growth Split | Financial vs. Dividend 15 Split |
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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