Correlation Between Everyday People and IGM Financial
Can any of the company-specific risk be diversified away by investing in both Everyday People and IGM Financial 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 Everyday People and IGM Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Everyday People Financial and IGM Financial, you can compare the effects of market volatilities on Everyday People and IGM Financial 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 Everyday People with a short position of IGM Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Everyday People and IGM Financial.
Diversification Opportunities for Everyday People and IGM Financial
0.38 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Everyday and IGM is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding Everyday People Financial and IGM Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on IGM Financial and Everyday People 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 Everyday People Financial are associated (or correlated) with IGM Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of IGM Financial has no effect on the direction of Everyday People i.e., Everyday People and IGM Financial go up and down completely randomly.
Pair Corralation between Everyday People and IGM Financial
Assuming the 90 days horizon Everyday People Financial is expected to generate 5.43 times more return on investment than IGM Financial. However, Everyday People is 5.43 times more volatile than IGM Financial. It trades about 0.04 of its potential returns per unit of risk. IGM Financial is currently generating about 0.06 per unit of risk. If you would invest 38.00 in Everyday People Financial on September 21, 2024 and sell it today you would earn a total of 16.00 from holding Everyday People Financial or generate 42.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Everyday People Financial vs. IGM Financial
Performance |
Timeline |
Everyday People Financial |
IGM Financial |
Everyday People and IGM Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Everyday People and IGM Financial
The main advantage of trading using opposite Everyday People and IGM Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Everyday People position performs unexpectedly, IGM Financial 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 IGM Financial will offset losses from the drop in IGM Financial's long position.Everyday People vs. Berkshire Hathaway CDR | Everyday People vs. JPMorgan Chase Co | Everyday People vs. Bank of America | Everyday People vs. Alphabet Inc CDR |
IGM Financial vs. Berkshire Hathaway CDR | IGM Financial vs. E L Financial Corp | IGM Financial vs. E L Financial 3 | IGM Financial vs. Molson Coors Canada |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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