Correlation Between Regions Financial and CDN IMPERIAL
Can any of the company-specific risk be diversified away by investing in both Regions Financial and CDN IMPERIAL 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 Regions Financial and CDN IMPERIAL into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Regions Financial and CDN IMPERIAL BANK, you can compare the effects of market volatilities on Regions Financial and CDN IMPERIAL 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 Regions Financial with a short position of CDN IMPERIAL. Check out your portfolio center. Please also check ongoing floating volatility patterns of Regions Financial and CDN IMPERIAL.
Diversification Opportunities for Regions Financial and CDN IMPERIAL
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Regions and CDN is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding Regions Financial and CDN IMPERIAL BANK in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CDN IMPERIAL BANK and Regions 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 Regions Financial are associated (or correlated) with CDN IMPERIAL. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CDN IMPERIAL BANK has no effect on the direction of Regions Financial i.e., Regions Financial and CDN IMPERIAL go up and down completely randomly.
Pair Corralation between Regions Financial and CDN IMPERIAL
Assuming the 90 days horizon Regions Financial is expected to generate 2.15 times more return on investment than CDN IMPERIAL. However, Regions Financial is 2.15 times more volatile than CDN IMPERIAL BANK. It trades about 0.18 of its potential returns per unit of risk. CDN IMPERIAL BANK is currently generating about 0.28 per unit of risk. If you would invest 1,951 in Regions Financial on September 13, 2024 and sell it today you would earn a total of 469.00 from holding Regions Financial or generate 24.04% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Regions Financial vs. CDN IMPERIAL BANK
Performance |
Timeline |
Regions Financial |
CDN IMPERIAL BANK |
Regions Financial and CDN IMPERIAL Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Regions Financial and CDN IMPERIAL
The main advantage of trading using opposite Regions Financial and CDN IMPERIAL positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Regions Financial position performs unexpectedly, CDN IMPERIAL 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 CDN IMPERIAL will offset losses from the drop in CDN IMPERIAL's long position.Regions Financial vs. Fifth Third Bancorp | Regions Financial vs. Superior Plus Corp | Regions Financial vs. SIVERS SEMICONDUCTORS AB | Regions Financial vs. CHINA HUARONG ENERHD 50 |
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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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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