Correlation Between CDN IMPERIAL and North American
Can any of the company-specific risk be diversified away by investing in both CDN IMPERIAL and North American 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 CDN IMPERIAL and North American into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CDN IMPERIAL BANK and North American Construction, you can compare the effects of market volatilities on CDN IMPERIAL and North American 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 CDN IMPERIAL with a short position of North American. Check out your portfolio center. Please also check ongoing floating volatility patterns of CDN IMPERIAL and North American.
Diversification Opportunities for CDN IMPERIAL and North American
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between CDN and North is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding CDN IMPERIAL BANK and North American Construction in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on North American Const and CDN IMPERIAL 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 CDN IMPERIAL BANK are associated (or correlated) with North American. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of North American Const has no effect on the direction of CDN IMPERIAL i.e., CDN IMPERIAL and North American go up and down completely randomly.
Pair Corralation between CDN IMPERIAL and North American
Assuming the 90 days trading horizon CDN IMPERIAL BANK is expected to under-perform the North American. But the stock apears to be less risky and, when comparing its historical volatility, CDN IMPERIAL BANK is 2.39 times less risky than North American. The stock trades about -0.14 of its potential returns per unit of risk. The North American Construction is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 2,040 in North American Construction on October 12, 2024 and sell it today you would earn a total of 60.00 from holding North American Construction or generate 2.94% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
CDN IMPERIAL BANK vs. North American Construction
Performance |
Timeline |
CDN IMPERIAL BANK |
North American Const |
CDN IMPERIAL and North American Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CDN IMPERIAL and North American
The main advantage of trading using opposite CDN IMPERIAL and North American positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CDN IMPERIAL position performs unexpectedly, North American 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 North American will offset losses from the drop in North American's long position.CDN IMPERIAL vs. CITIC Telecom International | CDN IMPERIAL vs. Canon Marketing Japan | CDN IMPERIAL vs. FAST RETAIL ADR | CDN IMPERIAL vs. Tencent Music Entertainment |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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