Correlation Between North American and SNC Lavalin
Can any of the company-specific risk be diversified away by investing in both North American and SNC Lavalin 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 North American and SNC Lavalin into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between North American Financial and SNC Lavalin Group, you can compare the effects of market volatilities on North American and SNC Lavalin 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 North American with a short position of SNC Lavalin. Check out your portfolio center. Please also check ongoing floating volatility patterns of North American and SNC Lavalin.
Diversification Opportunities for North American and SNC Lavalin
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between North and SNC is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding North American Financial and SNC Lavalin Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SNC Lavalin Group and North American 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 North American Financial are associated (or correlated) with SNC Lavalin. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SNC Lavalin Group has no effect on the direction of North American i.e., North American and SNC Lavalin go up and down completely randomly.
Pair Corralation between North American and SNC Lavalin
Assuming the 90 days trading horizon North American is expected to generate 1.92 times less return on investment than SNC Lavalin. But when comparing it to its historical volatility, North American Financial is 1.61 times less risky than SNC Lavalin. It trades about 0.18 of its potential returns per unit of risk. SNC Lavalin Group is currently generating about 0.22 of returns per unit of risk over similar time horizon. If you would invest 5,348 in SNC Lavalin Group on September 21, 2024 and sell it today you would earn a total of 2,081 from holding SNC Lavalin Group or generate 38.91% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
North American Financial vs. SNC Lavalin Group
Performance |
Timeline |
North American Financial |
SNC Lavalin Group |
North American and SNC Lavalin Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with North American and SNC Lavalin
The main advantage of trading using opposite North American and SNC Lavalin positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if North American position performs unexpectedly, SNC Lavalin 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 SNC Lavalin will offset losses from the drop in SNC Lavalin's long position.North American vs. Berkshire Hathaway CDR | North American vs. E L Financial Corp | North American vs. E L Financial 3 | North American vs. Molson Coors Canada |
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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 Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .
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