Correlation Between Canadian Life and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Canadian Life and Dow Jones 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 Canadian Life and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Canadian Life Companies and Dow Jones Industrial, you can compare the effects of market volatilities on Canadian Life and Dow Jones 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 Canadian Life with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Canadian Life and Dow Jones.
Diversification Opportunities for Canadian Life and Dow Jones
0.92 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Canadian and Dow is 0.92. Overlapping area represents the amount of risk that can be diversified away by holding Canadian Life Companies and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and Canadian Life 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 Canadian Life Companies are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Canadian Life i.e., Canadian Life and Dow Jones go up and down completely randomly.
Pair Corralation between Canadian Life and Dow Jones
Assuming the 90 days trading horizon Canadian Life Companies is expected to generate 2.21 times more return on investment than Dow Jones. However, Canadian Life is 2.21 times more volatile than Dow Jones Industrial. It trades about 0.29 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.2 per unit of risk. If you would invest 516.00 in Canadian Life Companies on September 5, 2024 and sell it today you would earn a total of 182.00 from holding Canadian Life Companies or generate 35.27% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 98.44% |
Values | Daily Returns |
Canadian Life Companies vs. Dow Jones Industrial
Performance |
Timeline |
Canadian Life and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Canadian Life Companies
Pair trading matchups for Canadian Life
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Canadian Life and Dow Jones
The main advantage of trading using opposite Canadian Life and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Canadian Life position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.Canadian Life vs. Dividend 15 Split | Canadian Life vs. Brompton Lifeco Split | Canadian Life vs. North American Financial | Canadian Life vs. Prime Dividend Corp |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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