Correlation Between AGFiQ Market and BMO Aggregate
Can any of the company-specific risk be diversified away by investing in both AGFiQ Market and BMO Aggregate 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 AGFiQ Market and BMO Aggregate into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between AGFiQ Market Neutral and BMO Aggregate Bond, you can compare the effects of market volatilities on AGFiQ Market and BMO Aggregate 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 AGFiQ Market with a short position of BMO Aggregate. Check out your portfolio center. Please also check ongoing floating volatility patterns of AGFiQ Market and BMO Aggregate.
Diversification Opportunities for AGFiQ Market and BMO Aggregate
0.51 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between AGFiQ and BMO is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding AGFiQ Market Neutral and BMO Aggregate Bond in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BMO Aggregate Bond and AGFiQ Market 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 AGFiQ Market Neutral are associated (or correlated) with BMO Aggregate. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BMO Aggregate Bond has no effect on the direction of AGFiQ Market i.e., AGFiQ Market and BMO Aggregate go up and down completely randomly.
Pair Corralation between AGFiQ Market and BMO Aggregate
Assuming the 90 days trading horizon AGFiQ Market Neutral is expected to under-perform the BMO Aggregate. In addition to that, AGFiQ Market is 3.39 times more volatile than BMO Aggregate Bond. It trades about -0.21 of its total potential returns per unit of risk. BMO Aggregate Bond is currently generating about 0.14 per unit of volatility. If you would invest 2,989 in BMO Aggregate Bond on September 16, 2024 and sell it today you would earn a total of 25.00 from holding BMO Aggregate Bond or generate 0.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
AGFiQ Market Neutral vs. BMO Aggregate Bond
Performance |
Timeline |
AGFiQ Market Neutral |
BMO Aggregate Bond |
AGFiQ Market and BMO Aggregate Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with AGFiQ Market and BMO Aggregate
The main advantage of trading using opposite AGFiQ Market and BMO Aggregate positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AGFiQ Market position performs unexpectedly, BMO Aggregate 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 BMO Aggregate will offset losses from the drop in BMO Aggregate's long position.AGFiQ Market vs. Desjardins Alt LongShort | AGFiQ Market vs. BMO Tactical Dividend | AGFiQ Market vs. NBI Liquid Alternatives | AGFiQ Market vs. BMO Premium Yield |
BMO Aggregate vs. BMO Short Term Bond | BMO Aggregate vs. BMO Canadian Bank | BMO Aggregate vs. BMO Aggregate Bond | BMO Aggregate vs. BMO Balanced ETF |
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 Odds Of Bankruptcy module to get analysis of equity chance of financial distress in the next 2 years.
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