Correlation Between BMO Equal and IShares SPTSX
Can any of the company-specific risk be diversified away by investing in both BMO Equal and IShares SPTSX 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 BMO Equal and IShares SPTSX into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BMO Equal Weight and iShares SPTSX Canadian, you can compare the effects of market volatilities on BMO Equal and IShares SPTSX 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 BMO Equal with a short position of IShares SPTSX. Check out your portfolio center. Please also check ongoing floating volatility patterns of BMO Equal and IShares SPTSX.
Diversification Opportunities for BMO Equal and IShares SPTSX
0.28 | Correlation Coefficient |
Modest diversification
The 3 months correlation between BMO and IShares is 0.28. Overlapping area represents the amount of risk that can be diversified away by holding BMO Equal Weight and iShares SPTSX Canadian in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on iShares SPTSX Canadian and BMO Equal 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 BMO Equal Weight are associated (or correlated) with IShares SPTSX. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of iShares SPTSX Canadian has no effect on the direction of BMO Equal i.e., BMO Equal and IShares SPTSX go up and down completely randomly.
Pair Corralation between BMO Equal and IShares SPTSX
Assuming the 90 days trading horizon BMO Equal is expected to generate 2.18 times less return on investment than IShares SPTSX. In addition to that, BMO Equal is 1.91 times more volatile than iShares SPTSX Canadian. It trades about 0.02 of its total potential returns per unit of risk. iShares SPTSX Canadian is currently generating about 0.09 per unit of volatility. If you would invest 976.00 in iShares SPTSX Canadian on September 3, 2024 and sell it today you would earn a total of 250.00 from holding iShares SPTSX Canadian or generate 25.61% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
BMO Equal Weight vs. iShares SPTSX Canadian
Performance |
| Timeline |
| BMO Equal Weight |
| iShares SPTSX Canadian |
BMO Equal and IShares SPTSX Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with BMO Equal and IShares SPTSX
The main advantage of trading using opposite BMO Equal and IShares SPTSX positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BMO Equal position performs unexpectedly, IShares SPTSX 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 IShares SPTSX will offset losses from the drop in IShares SPTSX's long position.| BMO Equal vs. iShares SPTSX Capped | BMO Equal vs. Vanguard FTSE Canadian | BMO Equal vs. BMO Equal Weight | BMO Equal vs. BMO Canadian Dividend |
| IShares SPTSX vs. iShares 1 5 Year | IShares SPTSX vs. iShares 1 5 Year | IShares SPTSX vs. iShares Core Canadian | IShares SPTSX vs. iShares Global Monthly |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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