Correlation Between CDN IMPERIAL and VULCAN MATERIALS
Can any of the company-specific risk be diversified away by investing in both CDN IMPERIAL and VULCAN MATERIALS 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 VULCAN MATERIALS 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 VULCAN MATERIALS, you can compare the effects of market volatilities on CDN IMPERIAL and VULCAN MATERIALS 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 VULCAN MATERIALS. Check out your portfolio center. Please also check ongoing floating volatility patterns of CDN IMPERIAL and VULCAN MATERIALS.
Diversification Opportunities for CDN IMPERIAL and VULCAN MATERIALS
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between CDN and VULCAN is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding CDN IMPERIAL BANK and VULCAN MATERIALS in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on VULCAN MATERIALS 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 VULCAN MATERIALS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of VULCAN MATERIALS has no effect on the direction of CDN IMPERIAL i.e., CDN IMPERIAL and VULCAN MATERIALS go up and down completely randomly.
Pair Corralation between CDN IMPERIAL and VULCAN MATERIALS
Assuming the 90 days trading horizon CDN IMPERIAL BANK is expected to generate 0.52 times more return on investment than VULCAN MATERIALS. However, CDN IMPERIAL BANK is 1.92 times less risky than VULCAN MATERIALS. It trades about 0.18 of its potential returns per unit of risk. VULCAN MATERIALS is currently generating about 0.08 per unit of risk. If you would invest 5,432 in CDN IMPERIAL BANK on October 11, 2024 and sell it today you would earn a total of 639.00 from holding CDN IMPERIAL BANK or generate 11.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
CDN IMPERIAL BANK vs. VULCAN MATERIALS
Performance |
Timeline |
CDN IMPERIAL BANK |
VULCAN MATERIALS |
CDN IMPERIAL and VULCAN MATERIALS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CDN IMPERIAL and VULCAN MATERIALS
The main advantage of trading using opposite CDN IMPERIAL and VULCAN MATERIALS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CDN IMPERIAL position performs unexpectedly, VULCAN MATERIALS 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 VULCAN MATERIALS will offset losses from the drop in VULCAN MATERIALS's long position.CDN IMPERIAL vs. NORTHEAST UTILITIES | CDN IMPERIAL vs. TITAN MACHINERY | CDN IMPERIAL vs. Tokyu Construction Co | CDN IMPERIAL vs. Hanison Construction Holdings |
VULCAN MATERIALS vs. CDN IMPERIAL BANK | VULCAN MATERIALS vs. TT Electronics PLC | VULCAN MATERIALS vs. CVB Financial Corp | VULCAN MATERIALS vs. SUN LIFE FINANCIAL |
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 Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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