Correlation Between AGF Management and Mount Logan
Can any of the company-specific risk be diversified away by investing in both AGF Management and Mount Logan 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 AGF Management and Mount Logan into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between AGF Management Limited and Mount Logan Capital, you can compare the effects of market volatilities on AGF Management and Mount Logan 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 AGF Management with a short position of Mount Logan. Check out your portfolio center. Please also check ongoing floating volatility patterns of AGF Management and Mount Logan.
Diversification Opportunities for AGF Management and Mount Logan
-0.92 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between AGF and Mount is -0.92. Overlapping area represents the amount of risk that can be diversified away by holding AGF Management Limited and Mount Logan Capital in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mount Logan Capital and AGF Management 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 AGF Management Limited are associated (or correlated) with Mount Logan. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mount Logan Capital has no effect on the direction of AGF Management i.e., AGF Management and Mount Logan go up and down completely randomly.
Pair Corralation between AGF Management and Mount Logan
Assuming the 90 days horizon AGF Management Limited is expected to generate 3.03 times more return on investment than Mount Logan. However, AGF Management is 3.03 times more volatile than Mount Logan Capital. It trades about 0.26 of its potential returns per unit of risk. Mount Logan Capital is currently generating about -0.13 per unit of risk. If you would invest 581.00 in AGF Management Limited on September 4, 2024 and sell it today you would earn a total of 217.00 from holding AGF Management Limited or generate 37.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 90.48% |
Values | Daily Returns |
AGF Management Limited vs. Mount Logan Capital
Performance |
Timeline |
AGF Management |
Mount Logan Capital |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
AGF Management and Mount Logan Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with AGF Management and Mount Logan
The main advantage of trading using opposite AGF Management and Mount Logan positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AGF Management position performs unexpectedly, Mount Logan 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 Mount Logan will offset losses from the drop in Mount Logan's long position.AGF Management vs. Fiera Capital | AGF Management vs. Ameritrans Capital Corp | AGF Management vs. Bounce Mobile Systems | AGF Management vs. Elysee Development 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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